Bioinformatics Jobs

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental... scientific discoveries to improve human health locally and around the globe. Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more than 6,000 staff, the Duke University School of Medicine along with the Duke University School of Nursing, Duke University Health System and the Private Diagnostic Clinic (PDC) comprise Duke Health. a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations. Description The Sequencing and Genomics Technologies (SGT) Core Facility at Duke University is hiring a Bioinformatician! The successful candidate will lead bioinformatic analyses for a broad range of genomics projects. The candidate will consult and collaborate with researchers and scientists from multiple disciplines across Duke’s campus on projects utilizing high-throughput next-generation sequencing and provide quality analyses on high-throughput sequencing data sets. The candidate will also support the SGT to analyze new experimental methods. Due to the need to engage in multiple collaborations simultaneously, it is critical that this person has excellent organizational and time management skills, and the ability to manage and prioritize commitments to projects effectively. Additionally, the incumbent will have exceptional written and verbal communication skills, a willingness to learn, and actively supports an inclusive and collaborative work environment. This position reports to the Director and has the potential to grow into a management position. We highly encourage candidates that identify with a marginalized or underrepresented group to apply. As a reminder, please apply even if you don’t think you meet all the qualifications! The position is hybrid remote/on-site in downtown Durham, NC and regular responsibilities will include: Communicate with investigators to support their projects (15%). Collaborate, consult, and effectively communicate with Duke researchers to understand their biological questions and computational needs, and recommend analyses for a wide range of genomics studies. Review and approve requested quotes and make recommendations for appropriate assay, platform, and analyses when needed. Lead internal bioinformatic analyses (40%). Contribute to the design, development, implementation, and testing of computational tools and analyses of novel experimental methods as part of the SGT. Work with IT groups across Duke entities to implement new analytical and operational improvements. Perform and deliver primary and secondary bioinformatic analyses to researchers (35%). Design, develop, and execute analytical pipelines to generate and test biological hypotheses. These tasks include both writing new code as well as repackaging and documenting existing scripts as needed. Work with data analysts to schedule projects and ensure completion of deliverables and adherence to timelines. Analyze and resolve issues that have the potential to jeopardize performance and/or ability to meet agreed upon deliverables. Documentation (10%) - Document methods and results to provide to collaborators. Review orders and generate invoices for orders. Submit data, metadata, and QC metrics to publicly available data repositories, and/or designated data coordinating centers. The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This description is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified. Qualifications: Required knowledge, skills and abilities • Extensive knowledge and experience with programing (Python, R, and shell preferred), command-line bioinformatics tools (particularly for Next-Generation sequencing analysis) and Unix environment and data management. Experience with public domain biological databases, and software tools for sequence analyses. Extensive familiarity with and development of computational tools in biology that use genomic data to generate biological hypotheses. • Strong knowledge of genomics techniques, particularly next-generation sequencing (including sample preparation and library construction). • Excellent written and oral communication skills with an ability to explain computational pipelines and statistical analyses to collaborators with little computational experience. Publication track record in genetics, genomics, or Next-Generation sequencing strongly preferred. • Excellent at problem-solving and troubleshooting. • Ability to perform and prioritize multiple tasks, projects and demands. • Ability to establish and maintain working relationships with administration, clients, and the core facility staff. Minimum required education and experience • M.S. in Bioinformatics or the biological sciences with demonstrable computational skills or M.S. in computer science with a strong understanding of biology/genomics. PhD or equivalent doctorate (eg. Sc.D., M.D., D.V.M.) preferred. Preferred Qualifications • PhD degree in genetics, genomics, bioinformatics, or computational biology. • Hands on experience generating next-generation sequencing data. • Strong knowledge of bioinformatics analyses for one or more areas: read mapping and quality control, RNA-seq, whole genome/exome sequencing (variant calling), ChiP/ATAC-seq peaks, Methyl-Seq, 16s, metagenomic/microbiome data sets, and/or other genomics datasets • Experience with Illumina technologies is preferred. Familiarity with other technologies is a plus. • Leadership or management experience. • Consulting experience. • Supervision or mentoring experience. • Teaching experience (lectures, workshops). • Multiple publications and notable significant contributions to scientific research. Publication of new bioinformatics tools is a plus. Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual’s age, color, disability, genetic information, gender, gender identity, national origin, race, religion, sexual orientation, or veteran status. Minimum Qualifications Education Work requires a B.S. in Bioinformatics or the Biological Sciences with demonstrable computational skills; or a B.S. in Computer Science with a strong interest in Biology/Genomics. M.S. preferred. Experience OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essentialjob functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department

SHIFT: Day (United States of America ... Seeking Breakthrough Makers Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career. CHOP’s Commitment to Diversity, Equity, and Inclusion CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children. We strongly encourage all candidates of diverse backgrounds and lived experiences to apply. A Brief Overview The Bioinformatics Scientist I position is an entry level position for a non-PhD level professional. The focus of the position is development, maintenance, and evolution of the tools that support management and analysis of genomic, proteomic, and other complex molecular data types. This includes the support of internal bioinformatics software, implementation and modifications of existing algorithms, and execution of routine tasks of limited complexity within the general area of bioinformatics analysis. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. All activities occur with a moderate to high degree of supervision and the individual will rely on a high degree of peer-to-peer mentorship. The Bioinformatics Scientist I is primarily focused on the support of higher level bioinformatics personnel but may have minor direct interaction with collaborators and designees to resolve primarily technical issues and solutions. BFX Sci I position for Oncology/CCCR. This position is dedicated to PI's Lindell and Diorio. Diorio support is 67% pending ALSF award with Parkway Run account being used as guarantor. Lindell support is 33% Critical Care Medicine Research cost center (600-62000). Commitment is for 3 years with intent to fund longer. What you will do • Pre-Analysis (40%): Contributes to the maintenance and development of bioinformatics tool portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provides efficient data management support. • Works with bioinformatics group members to develop functioning pipelines upstream of customized analysis workflows. • Maintains pipelines by staying current with evolving algorithms and standards and incorporating into pipeline. • Executes robust development testing for commonly used applications such as data processing pipelines. • Optimizes performance of applications by working with scientific computing and information systems groups to optimize hardware/software parameters. • Defines and prioritizes requirements for pipeline development over time to incorporate new technologies and platforms via functional communication with bioinformatics group members and bioinformatics end users. • Identifies appropriate open-source and commercial products that serve needs of pipeline and/or customized analyses of end users. • Implements and maintains commercial and open-source software for common bioinformatics and genomics data analysis. • Implements, updates and maintains locally stored data resources required for various analysis tasks. • Provides ad hoc support and one-on-one and group-based training on key bioinformatics software, features, and workflows. • Provides efficient data management support including file transfers, data formatting and manipulation, and basic integration of data from a variety of experimental and reference resources. • Develops and maintains working relationship with data providers such as sequencing cores within CHOP and infrastructure groups such as information systems. • Continually keeps abreast of evolving data generation platform fundamentals, file-specific information representation, and strategic application of code base to optimize value of data. • Maintains working knowledge of available commercial and openly accessible knowledge bases as they apply to bioinformatics analysis. • Coding (30%): Codes and generally supports both ad hoc, single task applications and larger pipeline applications that may combine multiple 3rd party and internally developed applications for genomics/proteomics/other complex data types and projects. • Implements, maintains, and regularly contributes to formal and bioinformatics group-centralized code management system. • Adopts appropriate forking and other strategies for robust code development. Apply to general bioinformatics group code base. • Adopts best practices for code development consistent with larger bioinformatics group. This includes choice of language based on the type of solution being developed, the likely life cycle and downstream usage of the resulting application, and integration with other systems. • Ensures that all routinely used tools (e.g. those included in shared analysis pipelines) are versioned and managed through a source control system. • Ensures that configuration files that provide parameters to algorithms and analysis software are versioned and managed through a source control system. • Develops and implements automated data-driven testing processes that test reproducibility of results between versions of pipeline software. • Develops and implements automated deployment processes that build and configure systems from source control repositories, eliminating the need to manually modify configuration files. • Regularly documents code, troubleshoot, and provide training when necessary. • Data Analysis (10%): Analyzes data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data under supervision from mentors and peers. • Develops robust analysis plans under supervision. • Incorporates QA/QC in analysis workflows. • Delivers analytical endpoints such as feature identification, annotation, characterization, prioritization, etc. • Reports results using, primarily, spreadsheets and, secondarily, abstracted materials such as slides and visuals. • Collaboration (10%): Works with both bioinformatics group members and end users/clients to understand specific needs in bioinformatics and end user-specific domains. • Attends group and team meetings and contributes primarily factual information regarding processes and approach. • Defers to mentors and peers in establishing relationships, but works within boundaries to accomplish analytical goals. • Academic Output (10%): Contributes to presentations, grants, and manuscripts under supervision by mentors and peers. Education Qualifications • Bachelor's Degree Required • Master's Degree biological or computational discipline Preferred Experience Qualifications • At least one (1) year in applied bioinformatics, computational, and genomics/proteomics experience. Preferred Skills and Abilities • Strong UNIX/LINUX expertise required. • Experience with R strongly preferred. • Experience with Python, Perl, or other languages preferred. • Experience with pipeline or workflow development frameworks preferred. • Experience with data management preferred. • Familiarity with open source and commercial bioinformatics resources and software preferred. • Experience with genomic data analysis preferred. • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture preferred. • Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is preferred. • Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is preferred. • Accountability and attention to timelines. • Excellent organization and communication skills with an emphasis on strong presentation skills. • Ability to work in a team environment. To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more. Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed. EEO / VEVRAA Federal Contractor | Tobacco Statement

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University, is seeking a highly motivated Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). MoTrPAC is part of the Common Fund Data Ecosystem (CFDE) and aims to build a comprehensive molecular map of physical activity. The BIC is... responsible for managing, analyzing, and disseminating large volumes of molecular and clinical data generated by the consortium through the Google Cloud Platform. As a Bioinformatics Engineer, you will play a key role in developing pipelines and tools for the analysis and integration of multiomics datasets and enabling analytical insights. The Common Fund Data Ecosystem (CFDE) is a collaborative effort by the National Institutes of Health (NIH) to establish a shared infrastructure that supports the efficient and effective management, analysis, and dissemination of biomedical research data. The CFDE aims to harmonize data management practices and facilitate data sharing across the scientific community, enabling researchers to work with large, complex datasets and extract new insights. As part of the MoTrPAC consortium, the Bioinformatics Core (BIC) is contributing to the CFDE by developing cutting-edge infrastructure to manage and analyze large volumes of molecular and clinical data generated by the consortium. The BIC's work will help advance the CFDE's mission of promoting data-driven research and accelerating scientific discoveries. As a Bioinformatics Engineer, you will have the opportunity to work within this ecosystem and contribute to the development of innovative solutions that facilitate data sharing and promote scientific collaboration. This is an exciting opportunity to work in a data federation and be part of a cutting-edge project that integrates a variety of molecular data types, including genomic, epigenomic, transcriptomic, proteomic, and metabolomic data, to advance the understanding of how physical activity improves and preserves health. You will have opportunities for cross-disciplinary collaboration and engagement with clinical, translational, wet lab, and dry lab researchers. To be successful in this role, you must have a strong background in bioinformatics and experience working with large-scale biological datasets. Proficiency in programming languages and exposure to high-performance computing environments is essential. You will be expected to participate in software development projects and have the ability to understand biological experiments. A complete application will include a cover letter highlighting your interest in the project and relevant qualifications. Duties include: • Collect, manage and clean datasets. • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. • Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. • Analyze data processes in documentation. • Collaborate with faculty and research staff on data collection and analysis methods. • Provide documentation based on audit and reporting criteria to investigators and research staff. • Communicate with government officials, grant agencies and industry representatives. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. DESIRED QUALIFICATIONS: • Experience as a research assistant or similar. • Experience (including any graduate school) developing tools for data analysis. • Proficiency in python and/or R programming languages. • Experience with cloud computing environments. • Exposure to container systems such as setting up virtual machines and Docker instances. • Biological domain knowledge (exercise science is a plus). • Experience with omics projects. • An understanding of data modeling including ontologies and database design. • Strong data analysis skills to identify patterns, relationships, and inconsistencies within metadata. • Experience in working with large-scale data repositories and data management systems. EDUCATION & EXPERIENCE (REQUIRED): • Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Substantial experience with MS Office and analytical programs. • Strong writing and analytical skills. • Ability to prioritize workload. PHYSICAL REQUIREMENTS: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: • Some work may be performed in a laboratory or field setting. WORKING STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/. The expected pay range for this position is $64,480 to $97,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law

• Develops and manages a specific bioinformatics, computational biology or quantitative genomics project within the research program under the supervising faculty member. • May prepare and submit funding applications within the content areas of the supervisor with permission of the supervisor. • May manage a small research group; conducting reviews and evaluating work... • Leads discussions regarding experimental design, data analysis and interpretation of results. • May represent the supervising faculty member in leading the research group as needed. • Responsible for gathering preliminary data for grant applications, completion of objectives of funded external grants, and preparation of completed work for publication. • Contributes to writing grant applications or manuscripts. • May serve on research committees. • Collaborates and leads genomics and bioinformatics analysis for clinical faculty and other investigators. • Performs literature searches to gather information pertaining to research projects or analytical methods in order to develop new protocols, research projects or grant applications for the work group. • Advises other research employees regarding technical and analytical problems within area of expertise. • Participates in work group meetings and formal seminars to present, explain, and discuss research interests. • Makes presentations to extramural audiences at national meetings and academic institutions. Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet... The SCCC Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. CORE JOB FUNCTIONS • Runs and maintains existing next generation data analysis pipelines. • Assists senior bioinformatics analysts in pipeline and algorithm development and validation. • Extracts features of interest from data relating to specific biological questions. • Contributes to the maintenance of genomic and clinical databases. • Performs statistical and integrative data analysis on genomics and clinical data. • Works along-side other team members and data analysts. • Follows standard operating procedures, documentation, and scripts to generate reports. • Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Bachelor’s degree in relevant field Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data. • Ability to recognize, analyze, and solve a variety of problems. • Ability to exercise sound judgment in making critical decisions. • Ability to process and handle confidential information with discretion. • Proficiency in computer software. #LI-YC1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. Patient safety is a top priority. As a result, during the Influenza ("the flu") season (September through April), the University Of Miami Miller School Of Medicine requires all employees who provide ongoing services to patients, work in a location (all Hospitals and clinics) where patient care is provided, or work in patient care or clinical care areas, to have an annual influenza vaccination. Failure to meet this requirement will result in rescinding or termination of employment. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: r7

Apply your expertise in bioinformatics, computational biology, genomics data science, or computer science towards this unique Bioinformatics Research Scientist opportunity in the Tsai Genome Editing Lab, focusing on advancing genome editing technologies towards treatments of pediatric patients with sickle cell disease and cancer, from bench to bedside. This is a great chance to apply skills in... programming and next-generation sequencing data analysis to important challenges that may lead to new, potentially curative, genome editing treatments for patients at St. Jude Children’s Research Hospital. Our Lab The Tsai Lab is a dynamic, collaborative, and creative group of scientists at St. Jude Children’s Research Hospital. Our research program centers on development of state-of-the-art genomic methods for understanding the global activities of genome editors, protein engineering to improve their capabilities for precise editing, and translation to autologous genome edited hematopoietic stem cell therapies. About the Job Opportunity We are seeking an outstanding and highly motivated Bioinformatics Scientist to help lead efforts to improve our fundamental understanding of CRISPR genome editors (nucleases, base editors, prime editors), engineer better editors, and apply them towards treatments of catastrophic hematological conditions such as sickle cell disease and bone marrow failures. Our wet-lab scientists generate large-scale next-generation sequencing (NGS) datasets on the genome-wide activity of editors, engineered variants with improved properties, and genome editing outcomes. We are looking for a candidate who can use their computational skills to help understand the biology of genome editors and help engineer better editors for therapeutic applications. You would have opportunities to work on exciting projects that include: · Develop new computational pipelines to analyze data from novel high-throughput methods to understand global activity of genome editors · Understand the impact of individual genetic variation on therapeutic genome editing · Develop infrastructure and framework for patient-specific genome editing and high-throughput lead discovery · Machine learning to predict the activity and specificity of CRISPR genome editors. Some examples of open-source software packages we have developed include analysis pipelines for CHANGE-seq and GUIDE-seq. The ideal candidate will be fluent in programming in a language such as Python and experienced with NGS data analyses. If you have special experience with open-source software development, high-dimensional data visualization, high-performance computing, artificial intelligence/machine learning we particularly encourage you to apply. We care deeply about the success of our trainees and this job is a unique opportunity to learn about genomics while contributing to the development of future genomic medicines at St. Jude. You would learn valuable skills that include: · Genome editing biology, next-generation sequencing analysis, high performance computing, machine learning, and others. Applicants are encouraged to provide a cover letter. Those with experience in genome editing, genomics, high-throughput sequencing, screening or automation we especially encourage you to apply! Project-dependent responsibilities could include: • Develop analysis pipelines for state-of-the-art methods for understanding CRISPR genome editors. • Develop machine learning models to predict activity and specificity of editors. • Create novel pipelines for high-throughput lead discovery with base and prime editors. • Develop broadly applicable useful methods to enable genome editing drug development. • Analyze experimental outcomes and develop high-quality summaries towards manuscripts and grant applications. • Draft manuscripts and figures for publication in high-impact journals Senior bioinformatic Research Scientist Minimum Education: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 7+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred. Bioinformatic Research Scientist Minimum Education: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 4+ years of relevant post-degree experience (OR) PhD with no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Senior Bioinformatics Research Scientist/Bioinformatic Research Scientist- Tsai Lab. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude

The Bioinformatics Analyst will work closely with the Spatial Biology Core (SBC) director (https://med.virginia.edu/spatial-biology-core/) to assist in the experimental design and analysis of research projects and provide expert consultation and technical/scientific support to UVA investigators. The SBC is seeking an Analyst to develop and establish computational methodologies and design... integrative data science approaches to study Spatial Multi-Omics analysis. The successful candidate will have a demonstrated ability to translate biological questions into technical design, and to identify, prioritize, and execute bioinformatics tasks to meet project goals and deadlines. The analyst will participate in meetings and consultations with clients to discuss design and interpretation and will assist in manuscript and grant preparation. The candidate should have a passion for bioinformatics and enjoy collaborating and supporting academic researchers and attending seminars and meetings. The successful candidate will be responsible for: • Organizing and managing Spatial data sets. • Manipulating and formatting data with R-package, Python, and Seurat tools. • Develop a pipeline to analyze Spatial context related to transcriptomics and proteomics data. • Using established open-source software and tools to assess quality and analyze data. • Running analyses on a high-performance computing cluster. • Using software or genome browsers for visualization. • Consulting with UVA investigators on experimental design, result interpretation, and grant and manuscript preparation. • May be asked to perform other duties as assigned. MINIMUM REQUIREMENTS Education: Master's or terminal degree Experience: Five years of specialized experience. Preferred Qualifications: • Ph.D. in Bioinformatics, Genomics, Biostatistics, Computer science or a related field. • M.S. + experience in bioinformatics or data science. • Advanced proficiency with R/Bioconductor or Python or C/C++. • Knowledge of database development and AI. • Experience with open-source software, tools, and databases for analyzing Spatial data analysis (GeoMx, CosMx, 10x Visium, Multiplex Analysis, etc.). PHYSICAL DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs. This is a restricted position and is dependent upon project need, availability of funding and performance. For more information on the benefits at UVA, visit https://hr.virginia.edu/benefits. This position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment. TO APPLY Please apply through Careers at UVA, and search for R0055457. Internal applicants must apply through their UVA Workday profile by searching 'Find Jobs'. Complete an application online with the following documents: • CV or Resume • Cover letter Applications that do not contain all required documents will not receive full consideration. References will be completed via UVA’s standardized process Skill Survey during the final phase of the interview process. For questions about the application process, please contact Jeremy Brofft, Senior Recruiting Specialist at xmf9ad@virginia.edu. For more information about UVA and the Charlottesville community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/. The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information. MINIMUM REQUIREMENTS Education: Master's or terminal degree Experience: Five years of specialized experience. Licensure: None. PHYSICAL DEMANDS This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs

Payroll Title: BIOINFORMATICS SUPV 2 Department: RADIOLOGY Hiring Pay Scale... $112,100.00 - $195,000.00/Year Worksite: East Campus (La Jolla) Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Monday-Friday #127694 Bioinformatics Manager Filing Deadline: Tue 2/6/2024 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. This is a UC San Diego Internal Recruitment open to UCSD and UCSD Health System Staff Only UCSD Layoff from Career Appointment: Apply by 02/01/2024 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 02/06/2024. Eligible Special Selection clients should contact their Disability Counselor for assistance. This position will work a hybrid schedule which includes a combination of working both onsite at La Jolla and remote. DESCRIPTION The UCSD Department of Radiology offers challenging career opportunities, cutting-edge research, and state-of-the-art services for clinical and translational studies. The Center for Multimodal Imaging and Genetics (CMIG) is a multi-disciplinary group of scientists, programmers, and support staff that plays a leading role in several national and multinational initiatives involving collection and analysis of imaging, genetic, and behavioral data from healthy participants and patient populations. CMIG serves as the data core for two large-scale longitudinal NIH funded studies with developmental populations. The Adolescent Brain Cognitive Development (ABCD) study follows ~12,000 children with longitudinal neuroanatomical, functional imaging, and behavioral assessments across 21 sites within the US. The major goals of the study are to provide a publicly available data resource to examine the relationships between environmental influences -- including substance use -- and adolescent brain and cognitive development. The Healthy Brain and Child Development (HBCD) Study is a large-scale longitudinal study of the brain, cognitive, and emotional development that will follow mothers and their children from before birth through the first decade of life. The project will involve over 7,000 families at 25 sites across the United States and aims to better understand which harmful and protective environments exert the greatest impact on child development. The Bioinformatics Supervisor will serve as Co-Director of the Data Analysis, Informatics & Resource Center (DAIRC) of the ABCD Study. In this role, they will oversee all efforts of the center related to management of the ABCD data resource, including data capture, ingestion, processing, quality assurance, monitoring, and reporting as well as curation for public data releases. The incumbent will lead the DAIRC teams for REDCap data capture development and data science/management and supervise the work of the DAIRC Associate Directors and their teams as it relates to above goals. They will coordinate with the ABCD Coordinating Center (CC) to achieve the scientific, administrative, and budgetary goals of the study. In coordination with Principal Investigators (PIs), co-investigators, and staff researchers, the Bioinformatics Supervisor will develop and manage a data curation plan for quality control of the high-dimensional dataset collected in the context of the nationwide study. They will supervise the design and implementation of database systems for the storage and curation of the collected data, including the development of data ingestion routines, processing pipelines, and ETL workflows, as well as develop methods and procedures to proactively identify dataissues. Furthermore, they will spearhead the development and maintenance of the infrastructure for annual data releases and oversee the development of web applications for data download, interactive data exploration, and the analysis of data released in public data releases, in coordination with the NIH Brain Development Cohorts Data Sharing Platform, and associated contractors. The Bioinformatics Supervisor will lead the design, testing, and maintenance of data capture instruments for the ABCD Study using the electronic data capture system REDCap. They will work closely with the leadership and domain experts in the ABCD consortium to develop and implement protocols, processes, and timelines for data collection, data review and correction, and preparation of the dataset for public data release. The incumbent will further lead the design, development, and adaptation of web applications/dashboards and automated reports used by ABCD leadership and personnel to monitor performance indicators like visit missingness / retention, protocol completeness, data quality, and other relevant metrics. The Bioinformatics Supervisor will also play a prominent role in the HBCD Data Coordinating Center (HDCC). In coordination with the HBCD Consortium Administrative Core (HCAC) and other groups within the HDCC, they will oversee the design, development, and adaptation of web applications/dashboards to support the results-based accountability efforts of the HBCD Study. The dashboards will allow study sites, coordinating centers, and oversight boards to monitor the recruitment progress, protocol compliance, as well as data quality/completenessand other relevant performance metrics in real-time. The incumbent will further supervise the design, testing, and maintenance of complex REDCap instruments for electronic data capture in the HBCD Study and the integration of these instruments with the overall HBCD IT infrastructure. The position receives assignments in the form of objectives with goals and the process by which to meet goals. Provides direction to staff according to established policies and management guidance. The position administers policies that directly affect subordinate staff, recommends changes to department policies and practices, identifies risks and responds accordingly and provides priority setting and work flow analysis. Erroneous decisions or failure to achieve goals results in additional costs and personnel, and serious delays in overall schedules. MINIMUM QUALIFICATIONS • Demonstrated ability to lead a technical staff of IT and / or scientific personnel, including projects performed by multiple developers. Strong knowledge and experience with monitoring staffing levels, recruitment, and training procedures. Strong experience in training and providing work direction to individuals of varying skill levels. Ability to manage multiple teams while also having strong independent work skills. • Solid knowledge of bioinformatics methods, bioinformatics applications programming, web development, data security, operating systems, relational databases, and data structures in an open source environment. Strong knowledge and skills with regard to database management and statistical software programming. Excellent data exploration, visualization, and analysis skills. Experience with database design and database programming in SQL. Strong general scientific programming skills, preferably using the R and/or Python programming languages. Experience with programming best practices (version control, reproducible development environments, containerization, continuous integration, etc.), open source software and open science practices, as well as development of software packages. • Demonstrated critical thinking, persuasion / negotiation, conflict resolution, mentoring and staff development, supervision, problem solving, human resources policies and procedures relating to management responsibilities. Strong analytical and problem solving skills. Demonstrated ability to interpret and understand the needs and concerns of consortium members and interdisciplinary collaborators. Ability to identify problems and to devise, suggest, and implement creative, efficient, and reliable solutions. • Demonstrated oral and written communication skills, quantitative and analytical abilities. Solid verbal and written communication skills. Excellent oral and written communication skills to effectively communicate with audiences of diverse levels of expertise and skills. Experience with effectively communicating and collaborating with a diverse set of stakeholders. Skilled in communicating technical information and data insights to non-technical researchers. • Solid knowledge of modern biology or applicable field of research. Strong knowledge of biostatistical methods. In-depth knowledge of the scientific method and principles. Expert knowledge of and demonstrated practical experience with the design and management of research studies, especially large-scale multi-site studies. Broad knowledge of human subject research domains and assessment methods, including surveys, standardized psychological testing, neurocognitive experiments, brain imaging, biospecimen, and wearable- and/or smartphone-based assessment. Experience with designing research protocols, preferably with a focus on longitudinal studies with developmental populations. • Demonstrated experience developing, deploying and managing web portals Advanced knowledge of developing data collection, reporting, and visualization tools, including automated reports using Quarto / R Markdown and/or interactive web applications / dashboards using the R Shiny framework. Experience with managing backend and frontend development for web portals and applications, including coordination between multiple development teams • Solid project management experience in a biomedical or research organization. Exceptional attention to detail, diligence, strong organizational skills, and ability to prioritize and adapt as necessary. Experience developing, maintaining, and executing project management plan to coordinate complex, high impact projects. • Strong theoretical background in and practical experience with scientific research in psychology, cognitive science, neuroscience, or a related field as evidenced by an advanced degree, including relevant research study techniques, or an equivalent combination of education and research experience. • Advanced knowledge and proven ability to manage, analyze, and interpret large scientific datasets from multiple assessment domains. Experience in designing and conducting experiments, collecting data, and reporting results. • Advanced experience with the design of the electronic data capture instruments using REDCap. Experience with management and configuration of the REDCap platform for complex, multi-site data collection, including integration with third-party assessment and data capture tools using the REDCap API. PREFERRED QUALIFICATIONS • PhD preferred. SPECIAL CONDITIONS • Employment is subject to a criminal background check. Pay Transparency Act Annual Full Pay Range: $112,100 - $216,500 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $53.69 - $103.69 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening

The Department of Medicine, Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity... Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Euan Ashley's research interests focus on the application of genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Matthew Wheeler's research centers on the integration of large-scale molecular and clinical data to understand the genetic basis of cardiovascular diseases and to develop novel therapeutic strategies. By joining our team, your proficiency in applying advanced statistical methodologies, such as multivariate analysis, machine learning, and Bayesian approaches, will be essential for uncovering novel insights and driving innovation in our research efforts. Your strong statistical background and expertise in analyzing large biological datasets. experience in handling diverse omics data will contribute significantly to our understanding of complex biological systems and the development of personalized medicine. You will also contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within MoTrPAC. This innovative project integrates large volumes of clinical and densely time-sampled molecular data, pushing the boundaries of biomedical data analytics. Our portal (https://motrpac-data.org) will push the boundaries of biomedical data analytics to provide insight into the basic and translational science of exercise. Working alongside our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being. Responsibilities: As a Bioinformatics Engineer II, you will contribute to the analysis, execution, and development of pipelines and bioinformatic tools for various omics data generated within the MoTrPAC project. Your primary responsibilities will include: • Collaborate with a multidisciplinary team of scientists and engineers to analyze and interpret large-scale multi-omics data. • Develop and implement innovative bioinformatics tools and methods to further our understanding of molecular mechanisms underlying the effects of physical activity. • Prepare reports and presentations to communicate findings with the team and the larger scientific community. Qualifications: To be successful in this role, you should possess an advanced degree (Ph.D. or M.S.) in a field such as statistics, biomedical informatics, engineering, or computer science along with a minimum of two years of relevant professional experience. They should have expertise in the analysis, execution, and development of pipelines and bioinformatic tools for various omics data and be proficient in programming languages like Python and/or R, as well as Linux bash scripting. Familiarity with pipeline languages, container systems, code management platforms, and systems biology approaches for data integration is also essential. Candidates should demonstrate experience in large-scale data analysis, biological domain knowledge, bioinformatics, and software development team-based projects. Additionally, they should be willing to work in a highly collaborative environment, be able to adapt quickly, possess strong communication skills, and have the capacity to work independently. Why Join Us? • Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health. • Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine. • Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases. • Enjoy a collaborative and stimulating work environment at one of the top universities in the world. If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter. Duties include: • Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. • Determine additional data collection and reporting requirements. • Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. • Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. • Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. • Serve as a resource for non-routine inquiries such as requests for statistics or surveys. • Test prototype software and participate in approval and release process for new software. • Provide documentation based on audit and reporting criteria to investigators and research staff. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. DESIRED QUALIFICATIONS: • Graduate degree that emphasizes statistics, biomedical informatics, engineering, and computer science are preferred. • Domain expertise in analysis and running pipelines and bioinformatic tools for at least one of the following ‘omes: genomics, transcriptomics, metabolomics, ATAC-seq, proteomics. • Proficiency in Python and/or R and Linux bash scripting. • Experience with pipeline languages such as WDL, snakemake, and/or nextflow. • Proven track record of data and infrastructure management in an HPC (High-Performance Computing) cluster or cloud computing like Google Cloud Platform or AWS. • Experience with container systems such as setting up virtual machines and docker instances. • Experience and knowledge of code management such as GitHub. • Experience in systems biology approaches for data integration is a plus. • Experience in developing tools and statistical methods for large-scale data analysis is a plus. • Biological domain knowledge (exercise science is a plus). EDUCATION & EXPERIENCE (REQUIRED): • Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Substantial experience with MS Office and analytical programs. • Excellent writing and analytical skills. • Ability to prioritize workload. PHYSICAL REQUIREMENTS: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: • Some work may be performed in a laboratory or field setting. WORKING STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/. The expected pay range for this position is $84,000 to $126,000 per annum/hour. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law

Description Qualifications/ Requirements... • Masters or higher degree in Bioinformatics, Computer Science, Statistics, or a related field is highly desirable. Bachelors degree required. • At least 2 years of work experience in sequencing data analysis. • Knowledge of prokaryotic and eukaryotic molecular biology and microbiology. • Solid computational skills and a deep understanding of NGS data and its analysis are required. • Experience with bioinformatics tools (Blast, Resfinder, CLC workbench, Galaxy) are required. • Coding skills in at least one language (Perl, Python, R, etc.). • Proficiency in Unix/Linux environment, including proficiency in shell scripting. • Contribute to journal publications and presentations at professional meetings. • Critical and Analytical thinking • Skill to manage multiple projects simultaneously. • Excellent communication and interpersonal skills Responsibilities • Develops and implements tools and reference databases for genomic analysis of eukaryotic pathogens • Analyze next-generation sequencing (NGS) data such as WGS and targeted sequencing and other microbiome data • Construct NGS libraries for the assigned pipeline, which may be whole genome or amplicon and operation of related sequencing platform • Generate high-quality reports for sequencing requests documentation, communicate with team members effectively, and good time management. • Interface with data scientists from across the company to leverage and develop new state of the art machine learning tools, data analysis capabilities, and informatic systems. • Training other staff on the use of relevant bioinformatics software and tools. • Collaborative attitude for department and inter-departmental activities both within the US and internationally