Bioinformatics Jobs

Bioinformatics Programmer 5 (5993U), Innovative Genomics Institute - 46618 About Berkeley ... At the University of California, Berkeley, we are committed to creating a community that fosters equity of experience and opportunity, and ensures that students, faculty, and staff of all backgrounds feel safe, welcome and included. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. The University of California, Berkeley, is one of the world's leading institutions of higher education, distinguished by its combination of internationally recognized academic and research excellence; the transformative opportunity it provides to a large and diverse student body; its public mission and commitment to equity and social justice; and its roots in the California experience, animated by such values as innovation, questioning the status quo, and respect for the environment and nature. Since its founding in 1868, Berkeley has fueled a perpetual renaissance, generating unparalleled intellectual, economic and social value in California, the United States and the world. We are looking for equity-minded applicants who represent the full diversity of California and who demonstrate a sensitivity to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds present in our community. When you join the team at Berkeley, you can expect to be part of an inclusive, innovative and equity-focused community that approaches higher education as a matter of social justice that requires broad collaboration among faculty, staff, students and community partners. In deciding whether to apply for a position at Berkeley, you are strongly encouraged to consider whether your values align with our Guiding Values and Principles, our Principles of Community, and our Strategic Plan. At UC Berkeley, we believe that learning is a fundamental part of working, and our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. To find out more about how you can grow your career at UC Berkeley, visit grow.berkeley.edu. Departmental Overview The Innovative Genomics Institute (IGI) is a non-profit, academic research organization formed through the partnership of UC Berkeley and UC San Francisco, and located on the UC Berkeley campus. A key focus of the IGI is accelerating translation of CRISPR-based approaches to address real-world problems in human health, agriculture, and climate. The IGI is committed to hiring and developing staff who want to work in a high-performing culture that supports the outstanding work of our faculty and students. The IGI is interested in candidates who will contribute to our commitment to excellence, diversity, and inclusion in academia. The IGI is also interested in applicants who may have had non-traditional career paths, taken time off for family/personal reasons, or excelled in careers outside academia. Most of our job postings list "required" and "preferred" qualifications. We encourage individuals to apply who do not meet every preferred qualification, but who could grow and thrive in the role. Application Review Date The First Review Date for this job is: December 22, 2022 Responsibilities Deploys and integrates large-scale cluster computing, storage, and network infrastructure. The group and institute rely on the turnaround of large-scale sequencing data to biologically relevant results in an extremely rapid way. This requires a large-scale computing system that integrates multiple compute servers into a single accessible compute cluster system. The Bioinformatics Programmer applies an advanced understanding of Linux, x86, and cluster systems. Manages and scales high-speed network infrastructure. Manages complete usage of group computing infrastructure by testing for inefficiencies. Monitors software being utilized in existing and new pipelines are properly configured to take advantage of highly distributed computing resources. Ensures that group members' bioinformatic software and pipelines are properly configured and deployed to take full advantage of computing infrastructure. Resolves problems with computing hardware and software. Fixes high-end cluster computing infrastructure software and hardware failures. Rapidly identifies problems with compute infrastructure in a heterogeneous environment, ranging from small to large sized compute nodes. This includes being able to troubleshoot hardware system failures and network failures. Distinguishes between true hardware failures from software and/or usage failures by the group. Responsible for direct hands-on repair of computing infrastructure and solving technical computing problems independently. Perform independent and group research with the goal of novel biological discoveries. Develops methods that incorporate both biological and computational knowledge to facilitate the discovery of new biological entities that may include the discovery of novel viruses and mobile genetic elements; the discovery of new metabolic and energetic pathways using both existing and novel tools. Central to this is the facilitation of methods for the discovery of new genome editing tools. Analyzes and synthesizes different types of data (chemical, physical, and biological) from many different environments (soil, marine, deep subsurface). Focuses on the main research goals for the group that includes the integration of different types of data from many disparate environments. Utilizes modern data science tools to integrate large sequencing datasets with heterogeneous data types. Specifically, the coordination of microbial and viral genomes with biologically relevant data. For example, the association between microbial genomes and the correspondence of microbial genomes with environmental parameters (for example - sulfur and nitrogen species concentrations). Authors manuscripts for publication in research journals; present oral and poster presentations at research conferences. Authors scientific level publications in high-level journals. Responsible for quality graphics and figures from complex scientific data. As needed, collaborates with other members of the group and non-group collaborators with publications and presentations. Develops new algorithms and bioinformatic processing pipelines for genome reconstruction and analysis from massive metagenomic and metatranscriptomics. Creates bioinformatic algorithmic and processing pipelines in order to scale to massive dataset sizes. Develops bioinformatic methods so they can be broadly applicable to data from different environmental sources and sequencing platforms. For example, development tools must be able to process from both complex and simple communities and data from both long and short-read sequencing platforms. Creates Bioinformatic pipelines in order to be deployed across heterogeneous computing systems and be disseminated for use by users not part of the group. Guides institute members in the selection of appropriate bioinformatic analyses. Assists members of the group with analysis methods applying various data types and analyses. These data types range from single gene surveys to complex metagenomic and metatranscriptomic large sequencing datasets. The analysis includes the selection of pipelines that will effectively take advantage of compute infrastructure while maintaining data and analysis integrity. Applies advanced statistical knowledge of the analysis of microbial communities that includes the selection of correct wet lab and field protocols that will affect downstream bioinformatic method selection and analyses. Train staff, graduate students, and postdoctoral researchers in directly performing bioinformatic programming development. Utilizes both direct one-on-one and group interactions with members of the group with varying degrees of bioinformatic expertise. Directly communicates and trains group members that are primarily biologists that have varying degrees of experience in computational systems and bioinformatic understanding. Develops and implements strategies with executive personnel for computational biological programs for large research groups, departments, and institutes. Manages data access and priorities for members of the group and international collaborators. The availability of the computational resources of the group is generally limited. As a result, one of the main goals is to ensure that computational infrastructure, specifically data storage, is properly balanced between archival and contemporary data sources. Additionally, monitors data access as the bulk of the computational resources are meant for group members. Collaborates with outside members and takes precautions in securing data to ensure that members and collaborators do not improperly use data. This also extends to computational resource usage, as collaboration is essential to the group, but must not hinder internal group usage. Verifies the quality, standardization, and providence of new data. Monitors large amounts of novel sequencing data that is constantly being generated. The new data entering the lab must be processed in a way that is both standardized and usable by the whole group. Develops practices and methods that ensure that all incoming data to the lab conforms to robust and standardized quality control. Process new data in a way that is translatable to a large multi-user group with varying degrees of technical training. This can mean ensuring that new data is tagged in a way that is understandable by everyone in the lab to ensure that data processing pipelines are compatible with existing analysis infrastructure. In collaboration with development partners and IGI leadership, participates in the development of proposals and funding requests. Leads a team of bioinformatics programming professionals. Responsible for project budgets and financial reporting. Required Qualifications Expert knowledge of bioinformatics methods, applications programming, web development, and data structures. Expert understanding of relational databases, web interfaces, and operating systems. Highly developed project management skills. Expert knowledge of modern biology and applicable field of research. Highly developed interpersonal skills in order to work with both technical and non-technical personnel at all levels internally and externally to the organization, including the ability to effectively communicate and interface with the campus, departmental, and institute leadership. Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels including the ability to guide both bioinformatic and non-bioinformatic researchers. Ability to effectively communicate and interface with the campus, departmental, and institute leadership. Advance familiarity with online bioinformatic databases and systems, such as ggKbase, IMG, NCBI, CyVerse, and EMBL ENA. Experience with the design, deployment, and maintenance of large-scale computing architecture and integration with databases and interfaces, i.e. DevOps. Specifically, advanced Unix-based system administration. Expert knowledge of web, application, and data security concepts and methods. Expert knowledge of clinical data security practices. Advanced knowledge of microbial genomics, including knowledge of microbial genomic field sampling methods and genomic wet lab protocols. Data science experience, specifically integrating biological and non-biological data; Understanding of database and search systems, such as SQL, MongoDB, and Elasticsearch. Experience with effectively analyzing large data with modern visualization tools. Experience synthesizing biological and informatics themes. Demonstrated development of tools for analyzing large-scale sequence datasets. High-level understanding of microbial phylogenetics. Advanced statistical knowledge of analyzing microbial ecology data. Education/Training: Ph.D. degree in a related area and or equivalent experience/training. Preferred Qualifications Thorough knowledge of genome assembly and reconstruction from complex metagenomic samples. Ability to develop independent research themes and assist in the acquisition of funding from governmental agencies and private donors. Knowledge and experience integrating microbial genomics in an ecological framework. Ability to communicate through research articles and presentations. Demonstrated history publishing in a research journal. Experience presenting orally at scientific conferences. Ability to develop novel methods for the analysis of metagenomic and metatranscriptomic data. Salary & Benefits This is a full-time (40 hours per week), career position that is eligible for full UC benefits. This position is exempt and paid monthly. The annual salary for this role is commensurate with experience within the range of $140,000.00 - $209,900.00. This is a hybrid position, eligible for 50% remote capability. For information on the comprehensive benefits package offered by the University visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html How to Apply Please submit your cover letter and resume when applying. Equal Employment Opportunity The University of California is an Equal Opportunity/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, or protected veteran status. For more information about your rights as an applicant see: https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct To apply, visit https://careerspub.universityofcalifornia.edu/psp/ucb/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_APP_SCHJOB.GBL?Page=HRS_APP_JBPST&Action=U&FOCUS=Applicant&SiteId=21&JobOpeningId=46618&PostingSeq=1 Copyright ©2022 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-9e48c8636631ba46b08f55d8494b29d1

Description Encoded Therapeutics Inc. is a biotechnology company advancing precision medicines for a broad range of genetic disorders. Our mission is to unlock new opportunities for viral gene therapy through genomics-driven discovery. We focus on delivering life-changing advances for individuals with genetic disorders not addressable with current approaches. For more information, please visit... www.Encoded.com. Position details We are looking for a talented and experienced Bioinformatics Scientist having a strong computational and software development background to join our R&D team. This is a unique opportunity to work at the intersection of genomics and computing and participate in the development of a diverse therapeutic pipeline driven by a transformative core technology. This position offers the opportunity to work with large genomics datasets and deeply influence technology development. The successful candidate will be excited and motivated to have a big impact as we are building out the computational team at Encoded. They would have demonstrated a solid understanding of genomics, programming languages, next-generation sequencing (NGS) technologies, SQL databases, and Laboratory Information Management Systems (LIMS). They should be a team player, with a desire to partner with other genomics scientists in assay development and troubleshooting. Workplace Model: Hybrid/SSF Responsibilities • Process and analyze next-generation sequencing (NGS) data generated on Illumina and 10x platforms • Develop database schemas and manage our SQL database that stores our sequencing data and results • Partner with scientists across departments to design, troubleshoot experiments and help in interpretation • Perform custom sequence alignment, processing, QC and visualization of our novel RNA/DNA-sequencing assays • Assist in managing our cloud-computing environment that runs NGS processing jobs at scale using AWS Batch • Partner with other members of the computational group to explore and prototype computational approaches Requirements • PhD in Bioinformatics or related field with 0-2+ years industry experience • Demonstrated desire and skills to work in a collaborative setting is critical • Strong biological background and computational expertise • Independent and creative thinking • Experience working with transcriptomics data is a must. Knowledge of sequencing technologies such as RNA-Seq, ChIP-Seq, ATAC-Seq, Single Cell Seq • Grasp of basic molecular biology and genomics - laboratory experience is a plus • Understanding of and experience with whole genome transcriptome alignment and quantification tools • Experience programming in a high-level language such as Python, Ruby or R; Python is preferred • Familiarity with building bioinformatics pipelines using a workflow management system such as Snakemake • Experience developing databases to store scientific data. Knowledge of SQL and some experience with LIMS • Familiarity with cloud computing infrastructures on AWS and working with cloud-based tools such as AWS Batch, Data Pipeline, RDS/Redshift is a plus Preferred Qualifications • Drug development experience is a plus Benefits • Comprehensive benefits package, including competitive employer premium contributions • Meaningful stock option grants • PTO, sick time, and holiday pay • Generous Parental Leave program • Pre-tax medical and dependent care programs • STD, LTD, Life and AD&D • Professional development opportunities • Team-building events • Fully stocked kitchen • Purple Tie dry cleaning service • Fitness center Encoded is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Encoded is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Encoded are based on business needs, job requirements and individual qualifications, without regard to race, religion or belief, color, national origin, gender, status as a protected veteran, status as an individual with a disability, or any other status protected by the laws or regulations in the location in which we operate. Encoded will not tolerate discrimination or harassment based on any of these characteristics. Encoded encourages applicants of all ages. If you need assistance or an accommodation due to a disability, you may call us at +1 650-491-0272

GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science... to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. GRAIL, LLC is a wholly-owned subsidiary of Illumina, Inc. (NASDAQ:ILMN). For more information, please visit www.grail.com. Bioinformatics Data Engineer The Data Engineering group, within the Software - Technology organization, is looking to hire a Bioinformatics Data Engineer (BXDE) to partner with computational, engineering and clinical study teams in developing data solutions for the GRAIL product pipeline. The BXDE will partner with scientists and statisticians to support efficient and accurate capture and transfer of sample information and analysis results through GRAIL’s analysis systems. As such, the BXDE will become proficient in GRAIL’s analysis system architecture, including primarily GRAIL’s LIMS for laboratory data; Electronic Data Capture (EDC) for clinical study data; the Bioinformatics Pipeline for sequence analysis and cancer classification data; and TidyData, the system that aggregates, packages, and serves datasets created from LIMS, EDC, and Pipeline outputs. The BXDE will also collaborate with software engineers and scientists to develop and produce analysis-ready datasets for clinical research and product development. The BXDE will develop code and procedures to support dataset generation, perform QC, and troubleshoot issues that arise during dataset generation. The BXDE will also collect requirements, develop prototypes, and collaborate on production implementations of new reporting-related features as needed. The BXDE will learn analysis requirements by reading laboratory protocols, Statistical Analysis Plans, and other analysis planning documents and meeting with scientists, biostatisticians, and other stakeholders. Additionally the BXDE may have opportunities to collaborate on statistical analyses and creation of analysis reports and interactive data visualizations. Tasks and Responsibilities • Support successful scientific analyses by ensuring scientists can focus on analyses and not have to learn all of the nuances of GRAIL’s analysis systemsEnsure that at the end of sample and data processing, • Tidy Data can generate a complete and accurate analysis-ready dataset • Develop and support processes for analysis dataset creation, QC, and release. • Develop standards and procedures to improve efficiency of new dataset implementation • Collect user requirements and develop custom reporting features as well as prototypes for future production reporting features • Define dataset QC procedures, report templates, and automated reports for streamlined execution of QC procedures • Maintain data integrity and quality throughout the data lifecycle, including ensuring clinical study-related blinding where appropriate. Preferred Background • BS or MS in a scientific field (life science, computer science, engineering, mathematics, statistics, bioinformatics, etc.). • Experience with R or Python programming is required • Experience with basic concepts of molecular biology is required • Experience with cross-functional collaboration while ensuring data quality and commitment to analysis reproducibility is required • Excellent interpersonal communication (written and verbal) and organizational skills is required • Excellent team player with a demonstrated track record of success in a cross-functional team environment. • Consistent commitment to delivering on team goals with a sense of shared urgency is required • Experience in the field of molecular diagnostics is a plus • Experience with CDISC data models is a plus • Experience with Amazon Web Services is a plusExperience with data visualization and analytics tools is a plus GRAIL is an Equal Employment Office and Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. We will reasonably accommodate all individuals with disabilities so that they can participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Following extensive monitoring, consideration of business implications, and advice from internal and external experts, GRAIL US has made the decision to require that all U.S. employees be “Fully Vaccinated” with the COVID-19 vaccine. “Fully Vaccinated” is defined as two weeks after both doses of a two-dose vaccine (e.g. Pfizer or Moderna) or two weeks since a single-dose vaccine (e.g. Johnson & Johnson) has been administered. Absent a qualifying exemption, all GRAIL US employees are to comply with this requirement, including providing documentation of such vaccination status, as a condition of employment. Anyone unable to be vaccinated, either because of a sincerely held religious belief or a medical condition or disability that prevents them from being vaccinated, can request a reasonable accommodation for consideration by GRAIL

IDT is the leading manufacturer of custom oligonucleotides and proprietary technologies for genomics applications. Our work is complex and cutting-edge, and our team members are curious, creative thinkers who understand that good data drives smart decisions. At IDT, we realize that although science may be uniform, people are unique. We promote a culture where engaged people are motivated and have... opportunities to achieve their full potential, as part of one global team. IDT is proud to work alongside a community of nine fellow Danaher Life Sciences companies. Together, we’re pioneering the future of science and medicine, developing products that enable researchers in the fight to save lives. Purpose statement: The Bioinformatics Scientist, under minimal supervision, will support a group of experienced scientists to develop novel genomic applications. This individual will be a key contributor to the product development team and report to the NGS Bioinformatics group leader. Essential Functions: • Applies knowledge of computer science to solve domain problems with occasional guidance • Plans details required for execution of assigned work, under moderate to minimal oversight • Utilizes mathematical and statistical analysis, and other software aids as needed • Operates and maintains software development tools while keeping abreast of promising tool advancements • Maintains accurate and detailed records of work using version control tools and other documentation artifacts • Interacts with and assists other members of the R&D team as needed to meet research objectives • Interact with other IDT departments and IDT customers to assist with customer service/technical support and to advance collaborative research projects as directed • Presents information at group meetings as directed • Introduces new techniques which have not previously been used at IDT • Develops and maintains bioinformatics tools and pipelines • Consults on experimental design in order to generate product performance data leading to robust conclusions • Mines existing data to pose and answer questions in lieu of conducting additional wet-bench experiments • Incorporates advanced statistical analyses that foster improvements in product reliability • Adapts and develops bioinformatics algorithms to support internal and external customers • Monitors NGS trends and advances to suggest and advise the development of new products • Demonstrates behavior consistent with the Integrated DNA Technologies Core Values. • Other duties as assigned Education: • Bachelor’s degree (in Engineering or other related field) with three or more years of experience in bioinformatics, software engineering or other scientific discipline required • Master’s degree in Bioinformatics, Biology or related field preferred Professional Experience: • Minimum of 2 years of experience in the field of Bioinformatics required • Knowledge and understanding of computational and biological issues required • Previous experience working in a multidisciplinary, fast-paced and results-oriented environment preferred • Strong background in molecular biology preferred. • Practical experience exploiting cloud computing resources preferred. Other Job Qualifications • Proficiency in Python or other scripting languages • Programming and data analysis experience in a distributed Unix environment • Familiarity with public bioinformatics resources and tools • Knowledge of best-practice data presentation methods for internal and external audiences • Ability to easily integrate into and collaborate with a multidisciplinary team • Excellent oral and written communication skills • Adaptability to performing a variety of duties, often changing from one task to another without loss of efficiency or composure. • Ability to maintain both a high standard of courtesy and cooperation in dealing with co-workers. • Adaptability to accepting responsibility for the direction, control or planning of an activity. What We Offer: • Shift Differentials (Extra Compensation for less traditional shifts) • Generous Paid Time Off Accruals • 16 Hours PAID Volunteer Time Off • 10 Paid Holidays • Up to eight (8) weeks of 100% paid parental leave to eligible U.S. associates • 401(k) with Company Match • Medical, Dental, and Vision Insurance Options Integrated DNA Technologies (IDT) conducts drug screens and background checks on applicants who accept employment offers. When you join us, you’ll also be joining Danaher’s global organization, where 80,000 people wake up every day determined to help our customers win. As an associate, you’ll try new things, work hard, and advance your skills with guidance from dedicated leaders, all with the support of powerful Danaher Business System tools and the stability of a tested organization. Given the essential job duties of this position, the employee is required to be fully vaccinated against COVID-19 as a condition of employment, subject to reasonable accommodation and applicable law. Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. The EEO posters are available here. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@danaher.com to request accommodation. If you’ve ever wondered what’s within you, there’s no better time to find out

Payroll Title: BIOINFORMATICS PROGR 4 Department: INSTITUTE ENGINEERING MED GC Hiring Salary Range $88,000 - $140,000 / Year Worksite: Campus Appointment Type: Career Appointment Percent: 100%% Union: Uncovered Total Openings: 1 Work Schedule: Variable, 8 hrs/day, Mon-Fri #120485 Bioinformatics Programmer 4 (Hybrid) Filing Deadline: Thu 12/22/2022 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. For the safety and well-being of the entire university community, the University of California requires, with few exceptions, that all students, faculty and staff be vaccinated against the COVID-19 virus and influenza before they will be allowed on campus or in a facility or office. For more information visit: Flu Vaccine Mandate / COVID Vaccine... Policy UCSD Layoff from Career Appointment: Apply by 12/13/22 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 12/22/22. Eligible Special Selection clients should contact their Disability Counselor for assistance. This position will remain posted until a suitable candidate has been identified. Priority consideration will be provided to applications received by 12/22/22. DESCRIPTION DEPARTMENT OVERVIEW:The IEM has over 130 outstanding affiliated faculty from UC San Diego’s School of Medicine, Skaggs School of Pharmacy & Pharmaceutical Sciences, and Jacobs School of Engineering, all sharing the objective of translating creative ideas into clinical medicine and novel products that will transform patient care and improve the health and well-being of people. POSITION OVERVIEW:Uses skills as an advanced, specialized bioinformatics programming professional with an in-depth understanding of computational algorithms to analyze 3D genome, single-cell, and/or spatial omics datasets. Will lead or mentor bioinformatics programming professionals and data scientists. 4D Nucleome (4DN) Network Organizational Hub enters its second phase with the goal aimed at better understanding how DNA is arranged within the cell’s nucleus in four dimensions. The incumbent will (1) be responsible for maintaining and updating the 4DN web portal and the 4DN consortium’s wiki, (2) develop analysis models and design analysis tools for 3D genome analyses, (3) integrate genomics data with imaging data for joint inference, (4) provide web/graphical user interface and database programming for the 4DN web portal as a central resource gateway to access all the 4DN-Network generated tools, policies, guidelines, and protocols, (5) provide tutorials and workshops to disseminate the 4DN software and datasets, (6) evaluate, recommend, and implement new hardware and software technologies for advancing complex HPC and data science projects, (7) train and mentor postdocs and graduate students on the application of highly complex multidimensional analysis in their research, (8) develop and submit research grant proposals, (9) author or co-author manuscripts for dissemination of research findings in peer-reviewed publications. This position may be eligible for a Hybrid flexible work arrangement, which could include a non-standard work schedule, and/or the ability to work off-site part of the time. QUALIFICATIONS • Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training. • In-depth knowledge of bioinformatics methods, applications programming, web development and data structures. Advanced experience in working with longitudinal data. • In-depth knowledge of bioinformatics programming design, modification and implementation. • Advanced understanding of relational databases, web interfaces and operating systems. Strong experience analyzing large and complex multi-modal datasets, including whole-genome genotyping, human brain imaging, geospatial datasets, and other high-dimensional phenotypic data. • Advanced project management skills. • In-depth knowledge of modern biology and applicable field of research. In depth knowledge of genomics, transcriptomics, single-cell, and spatial omics methods. • Advanced interpersonal skills in order to work with both technical and non-technical personnel at all levels in the organization, including senior project leadership. • Ability to communicate technical information in a clear and concise manner. Must exhibit the ability to creatively solve difficult analysis problems while implementing principled inferential statistical procedures. • Ability to lead a team, meet deadlines and demonstrate advanced problem-solving skills. • In-depth knowledge of web, application and data security concepts and methods. Advanced knowledge of the R statistical language, Python, Bash Scripting, and Matlab. • Ability to contribute independently and in a team environment to grant applications, manuscripts, and presentations. Demonstrated experience in manuscript planning, preparation, and execution. • Expert background in applications in genomics and molecular systems biology. SPECIAL CONDITIONS • The job offer is contingent upon satisfactory clearance based on Background Check results. • Must be able to work outside standard hours to meet project deadlines (occasional evenings and weekends may be required). Apply Now Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral). 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. The University of California 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

• Strategically considers all potential uses for available data, and how to transform disparate data into a useful data. • Conducts independent quantitative operational, clinical, and financial analysis with clearly summarized findings and recommendations for technical and clinical and non-technical and clinical audiences. • Ensures accuracy, data integrity and validity of data and analysis in... all work. • Translates project specific analysis into ongoing, automated reporting tools including specification preparation, design, testing, validation, analysis, and merging data from various source systems. • Participates in the development, implementation, and enforcement of data management standards and procedures. • Proactively identifies potential outcome analysis, goals of intervention, and basic evaluation structure in the planning phases of research projects. • Provides guidance, feedback, and input in the development of protocols and research proposals. • Performs statistical analysis to evaluate the success of project implementation. • Works closely with all levels of staff, customers and improvement teams to determine analytic needs and requirements; independently develops quantitative approaches to identify opportunities for performance improvement. • Proactively educates the requester of any complexities associated with the data requests. 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

Bioinformatics Analyst IV Job ID: req2734... Employee Type: exempt full-time Division: Bioinformatics and Computational Science Facility: NIH Location: NIH Campus 9000 Rockville Pike, Bethesda, MD 20892 USA The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCIRPTION The Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases. The Bioinformatics and Computational Science (BACS) directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of biomedical informatics and data science by developing and applying world leading data science and computing technologies to basic and applied biomedical research challenges, supporting critical operations, developing and delivering national data resources, and employing leading-edge software and data science. The Advanced Biomedical and Computational Science (ABCS) group is a part of BACS within Leidos Biomedical Research as a technological hub of translational scientists with expertise in structural biology, biology, chemistry, imaging, and informatics. ABCS develops state-of-the-art technologies in large-scale data modeling, analysis, and integration and supports the scientific research at the Frederick National Lab by helping translate scientific questions to technical solutions for cancer and biomedical research. KEY ROLES/RESPONSIBILITIES • As part of the CCR Collaborative Bioinformatics Resource (CCBR), provide collaborative bioinformatics support to the investigators in Center for Cancer Research, National Cancer • Collect and review data; analyze and interpret data and results; provide reports based on analysis of scientific data, and report research outcomes to make recommendations for future work • Develop and maintain Data Management pipelines for next-generation sequencing data (including but not limited to transcriptomics, proteomics, epigenetic data) • Work with staff on data visualization to support the preparation of presentations and manuscripts for submission to scientific journals • Consult with members of the group to guide experimental design, carrying out primary/secondary data analysis on generated data • Assist the group in submitting data to public genomic databases, such as GEO, dbGaP in compliance with the NIH Genomic Data Sharing Policy • Train PostDocs and other staff to use NGS and other genomic analysis tools • Develop other bioinformatic pipelines for processing genomic data such as ChIP-seq, DNAse-seq, single-cell sequencing, etc. • Attend relevant branch and lab meetings and provide guidance and inputs on experiment design and accurate statistical inference • Provide technical mentoring and project support for junior team members • Identify new opportunities for enhancing CCBR's scientific impact and operational efficiency • Will have a responsibility to work with the BIDS PAO as may be required BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of Master's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or six (6) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency • In addition to the education requirement, a minimum of ten (10) years of progressively responsible experience • Some knowledge of Unix command line or scripting languages • Ability to obtain and maintain a security clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • Possession of a Ph.D. degree in any quantitative science is preferred • Commitment to solving biological problems and communicating these solutions • Ability to multi-task across projects • Experience in submitting data sets to public repositories • Management of large genomic data sets including integration with data available from public sources • Prior customer-facing role • Record of scientific achievements including journal publications and conference presentations • Experience with multi-omic integration of NGS datasets EXPECTED COMPETENCIES • Deep understanding of and experience in processing high throughput biomedical data: data cleaning, normalization, analysis, interpretation, and visualization • Ability to understand and analyze data from complex experimental designs • Proficiency in at least two of the following programming languages: Python, R, Perl, Java, and C/C++ • Experience in at least two of the following areas: Exome sequencing, metagenomics, ChIPSeq, RNASeq, DHS-Seq, microarray analysis, DNA methylation analysis, single-cell transcriptomics • Familiarity with public databases: NCBI, Ensembl, TCGA, cBioPortal, Broad FireHose • Knowledge of working in a cluster environment Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW) #readytowork

Bioinformatics Analysts work under the supervision of the PI, research scientist, or department head, to analyze complex bioinformatics research. Typical projects include, but are not limited to: all classes of High Throughput Sequence (HTS) data analysis (DNA Seq, mRNA Seq, ChIP Seq, micro RNA Seq etc); experimental design; data integration; algorithm development; statistical analysis of data... development of workflows and implementing new analytical methods; evaluation/testing of software/database systems, analytical tools and technology; user interface, data, and functional requirements for software/database systems involving significant biological content; and delivering training to the research community. Characteristic distinctions from level I to level III include increased ability to work independently, increased breath of bioinformatics knowledge and tools, and increased understanding of the biological research domains. Level III analysts may pursue limited co-pi collaborations with research faculty. Senior/Lead supervises other bioinformatics employees and leads and manages bioinformatics projects, and may serve as co-pi to research faculty. Key Responsibilities & Essential Functions: Level II Analyst duties include statistical analysis, algorithm implementation, programming and workflow implementation, presenting and interpreting results of analysis. Conducting and interpreting quality assurance analysis of data. Developing requirements and implementing database systems. Assists in preparation of manuscripts and grant applications. Manages multiple tasks with direction and some assistance from supervisor or mentor. Other Knowledge, Skills, and Abilities: Level II requires MS or PhD degree in Statistics, Computer Science or relevant quantitative sciences. Incumbents who have not achieved a Ph.D., may compensate with a Masters degree and at least five years of professional work experience in bioinformatics. Works with limited supervision. Bioinformatician will be expected to maintain data resources and provide analysis support for a wide range of experimental data types in the context of aging research with the Jackson Nathan Shock Center. Degree & Specialization Requirements: MS or PhD degree in Statistics, Computer Science or relevant quantitative sciences Education Required: BS with 8+ or MS with 6+ or PhD with 3+ years of relevant bioinformatics experience in inter-disciplinary computational research in a university, hospital or biotechnology environment. Education Preferred: Doctorate Degree Experience Required: 5 years Experience Preferred: 5 years About JAX The Jackson Laboratory (JAX) is an independent, nonprofit biomedical research institution with more than 2,400 employees. Headquartered in Bar Harbor, Maine, it has a National Cancer Institute-designated Cancer Center in Augusta, Maine, a genomic medicine institute in Farmington, Connecticut, and facilities in Ellsworth, Maine, Sacramento, California, and Shanghai, China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health. JAX employees work in a collaborative, value-driven, and team-based environment where the focus is on advancing science and improving patients’ lives. Researchers apply genetics to increase the understanding of human disease and advance treatments and cures for cancer, neurological and immune disorders, diabetes, aging, and heart disease. JAX was voted among the top 15 “Best Places to Work in Academia” in the United States in a poll conducted by The Scientist magazine! EEO Statement The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws

We are looking for a Bioinformatics Scientist to work in close collaboration with other scientists from diverse fields. You will develop and maintain innovative bioinformatics applications and analytics pipelines running on high-performance computing platforms. The analyses and applications are for diverse scientific purposes, such as whole genome sequencing, variant analysis, siRNAs, ASOs... CRISPR genome editing, etc. Working in a bioinformatics core will also give you the opportunity to participate in cross-functional collaborations in many facets of research and development, ranging from early therapeutic target discovery through to the assessment of late-stage antibodies and other biologics that drive Regeneron’s therapeutics. As a Staff Scientist, a typical day might include the following: • Develop and maintain bioinformatics pipelines and carry out bioinformatics analysis using languages such as Shell, Python, and R. • Use HPC platforms in a Linux environment to accelerate and optimize pipelines and analyses. • Collaborate closely with experimentalists to understand their scientific and experimental needs and suggest appropriate computational approaches to shape future tech development. The scientist may also initiate novel research collaborations with other computational or lab-based biologists. • Work with other bioinformaticians to enhance existing pipelines, share methodologies, and develop best practices. • Conduct independent computational biology research aligned with the department's overall goals. This job might be for you if: • Improving health outcomes is what drives your science. • You are passionate about understanding and applying efficient computational methods to accelerate biological research. • You have a strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward. • Can effectively communicate complex concepts to collaborators from a wide range of backgrounds. To be considered for this role, you must have a PhD degree in Computational Biology, Bioinformatics, Computer Science, and related fields or life science discipline with a heavy bioinformatics component. Experience with conducting bioinformatics analysis and building pipelines (e.g. next-generation sequencing analysis, querying biological databases). Strong background (2 years) in at least one of the following scripting languages: Python, R, Perl. Strong familiarity in working in a Linux environment and shell scripting. Strong familiarity with HPC. Familiarity with code version control systems such as git. Experience with front-end web application development would be a plus. Experience with database management systems such as MySQL, SQL Server, Oracle, PostgreSQL a plus. Experience managing a team would be a plus. Experience with biostatistics and machine learning approaches would be a plus. #LI-hybrid Does this sound like you? Apply now to take your first steps toward living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits including health and wellness programs, fitness centers and equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. Please contact us to discuss any accommodations you think you may need. The salary ranges provided are shown in accordance with U.S. law and apply to U.S. based positions, where the hired candidate will be located in the U.S. If you are outside the U.S, please speak with your recruiter about salaries and benefits in your location. Salary Range (annually) $121,200.00 - $197,800.00

The University of Texas Southwestern Medical Center (UTSW), one of the premier academic medical centers in the nation, integrates pioneering biomedical research with exceptional clinical care and education. The institution’s faculty has received six Nobel Prizes and includes 25 members of the National Academy of Sciences, 17 members of the National Academy of Medicine, and 14 Howard Hughes... Medical Institute Investigators. The full-time faculty of more than 2,800, who garner more than $524 million in annual grant funding for research, is responsible for groundbreaking medical advances and is committed to translating science-driven research quickly to new clinical treatments. UTSW physicians provide care in about ~80 specialties to more than 117,000 hospitalized patients, more than 360,000 emergency room cases, and oversee nearly 3 million outpatient visits a year.The Peter O’Donnell Jr. School of Public Health will provide unique academic and research opportunities within a culturally rich environment that has Dallas ranked No. 4 in diversity among U.S. cities. The 7.8 million people in Dallas-Fort Worth reside in 13 counties across 9,000 square miles. The majority-minority population is 41 percent Hispanic and 25 percent African American. Public health needs in the region are great; ~20 percent of our region’s population are foreign born, speak Spanish only, and lack health insurance.Duties and Responsibilities: The Peter O’Donnell Jr. School of Public Health and the Quantitative Biomedical Research Center at the University of Texas Southwestern Medical Center (UTSW) are seeking a bioinformatician as a research track faculty member. Candidates may have interest and experience in computational biology and bioinformatics analysis of -omics data, NGS data, or imaging data. These positions offer career opportunities in advancing bioinformatics and project management skills.The appointments will be in the O’Donnell School of Public Health, with the Quantitative Biomedical Research Center (QBRC). The QBRC is a well-established research center at UTSW that develops innovative quantitative and data science methodology and fosters collaborations involving quantitative methods and technologies in all aspects of biomedical research. The QBRC engages in diverse clinical, translational, and biological studies in many applied areas such as clinical trials, genomics, imaging, epidemiology, outcomes and population-based studies.Position Qualifications: The successful applicant will have a PhD in Bioinformatics, Computation Biology, Biostatistics, Statistics, Computer Science, Engineering, Biomedical Sciences or related field with experience in data analytics. Appointment will be commensurate with accomplishments and experience. Applications: Qualified candidates should apply online and upload a cover letter, curriculum vitae, and a written statement that describes your commitment to diversity, equity, and inclusion.This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more, please visit: https://jobs.utsouthwestern.edu/why-work-here/diversity-inclusion