Bioinformatics Jobs

The EPPIcenter at UCSF is looking for a talented and inspirational lead bioinformatician with a strong malaria background to lead a bioinformatics service team. Drawing on your own strong malaria bioinformatics background, you will work collaboratively to respond to researchers' data analysis needs, ranging from a supportive role with trainees, to developing new tools for the malaria community... You will work within a Scrum framework to manage incoming tasks from various stakeholders. Your responsibilities will include prioritizing tasks, assigning work to team members, and forecasting capacity to meet project objectives effectively. You will provide technical support and guidance to service team members, cultivating a supportive work environment, fostering their professional development and identifying training needs. Collaboration and communication are essential aspects of this role, as you'll facilitate interdisciplinary collaboration and knowledge exchange not only within the bioinformatics team but also with other researchers across the unit. Active engagement with stakeholders will be vital as you communicate project progress, outcomes, and potential implications. The final salary and offer components are subject to additional approvals based on UC policy. To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (https://tcs.ucop.edu/non-academic-titles) Please note: An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role. For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range. To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html

Research Computing at Boston Children’s supports basic, translational, and clinical research by providing researchers with access to digital tools and technologies. Our computing environment consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with BCH scientists to develop solutions in support of cutting-edge... research ranging from genomics to epigenetics and transcriptomics, proteomics and metabolomics. The Senior Bioinformatics Data Scientist will work with PhD-level bioinformatics scientists and researchers who have single-cell RNA-seq, single-cell ATAC-seq, spatial transcriptomics, bulk RNA-seq and ChIP-seq data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines for the analysis, integration and sharing of these data. You will analyze, integrate different types of next-generation sequencing data and interpret the results and will have the opportunity to publish high-profile papers with prominent authorship depending on the intellectual contribution. The ideal candidate should have enthusiasm for developing collaborative relationships and a desire to foster the use of bioinformatics data in research studies. Responsibilities include: • Providing computational support services to Boston Children's Hospital scientists and clinicians by applying a wide range of bioinformatics tools, methods and technologies. • With minimal supervision and direction, completing highly complex assignments in the required timeframe; consistently adhering to and Promoting standard operating procedures and best practices; maintaining and upgrading a wide range of Research Computing tools, methods, and technologies, migrating data, documenting changes, and adjusting internal processes; resolving highly complex problems associated with assignments and seeking supervisor assistance when needed. • Routinely leading, co-leading, or participating in complex bioinformatics projects with other members from the BCH research community; setting goals and objectives for projects and demonstrating achievement of those goals and objectives; • Training staff and researchers; effectively tailoring presentations; developing, implementing and maintaining knowledge management systems. To qualify you must have: • Minimum of 4-year Bachelor's degree in STEM. A minimum of one year of position-specific experience, which might potentially include experience acquired through MSc or Ph.D. studies. Preference for candidates with a Ph.D. in Bioinformatics, Computational Biology or related. • Extensive knowledge of the use of bioinformatics computations in high-performance computing environments, including open-source bioinformatics software and pipelines to support diverse bioinformatics analyses such as single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation, etc. • Extensive knowledge of technologies used in support of biomedical research, such as programming languages (R and Python), databases (SQL), version control (Git), scientific workflow tools and high-performance computing clusters. • Ability to resolve a wide range of complex Research Computing assignments in support of biomedical research. Ability to routinely lead complex projects and coordinate project teams; readiness to seek advice and guidance when needed and to operate effectively in collaboration with scientists and clinicians; ability to follow, improve and create technical documentation and standard operating procedures. • Strong publication record. Ability to effectively convey messages through written communication that are tailored to target audience; meeting discussions and one-on-one verbal communications are clear and effective; ability to conduct effective meetings, to present in departmental and hospital forums, and to develop training instructions and manuals

WHY PATIENTS NEED YOU Pfizer's purpose is to deliver breakthroughs that change patients' lives. Research and Development is at the heart of fulfilling Pfizer's purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply... cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world. POSITION SUMMARY Pfizer is seeking a talented, self-motivated Senior Associate Scientist (Bioinformatics) with background in developing analytical algorithm, data processing pipeline to support mRNA vaccine data analytics and next generation sequencing efforts in vaccines R&D team at Pearl River. Responsibilities will be driving therapeutic innovation through contributing to the vaccine development. You will apply analytical skills and develop bioinformatics tools used for whole genome sequencing, targeted sequencing, RNA sequencing and single cell sequencing. You will analyze sequence data and provide bioinformatics and data science support to various mRNA vaccines program. Work and documentation are to be done in a compliant manner according to relevant SOP guidelines and cGLP guidelines where appropriate. You will be part of a dynamic team and should possess a strong work ethic and collaborative spirit. KEY RESPONSIBILITIES • Develop and manage automated next generation sequencing (NGS) pipelines to support pathogen or host genome sequencing projects • Implement various open source bioinformatic pipelines and interpret analytical results to support mRNA vaccines' preclinical and clinical programs • Experience and knowledge about bulk RNAseq, single cell RNAseq, TCR profiling, and BCR profiling • Develop novel algorithms and workflow for the analysis of vast amount data spanning different data types and provides scientific insights to guide vaccine design. • Present analytical results and review of literature at group meetings as needed. Maintain laboratory notebooks in compliance with the Pfizer Laboratory Notebook Policy. • Collaborate extensively with those from other scientific disciplines from within the group, from other subdivisions of Vaccines R&D, from other divisions of Pfizer MINIMUM QUALIFICATIONS • Degree in computer science, bioinformatics, data science, computational biology or related field is required. • Bachelor's degree with 3~5 years of experience or master's degree with additional 1-3 years of related experience is preferred. This is NOT a PhD position. • Extensive experience in analyzing multi-omics next generation sequencing data (e.g., genetics, bulk RNA-seq, single-cell RNA-seq, spatial omics, proteomics, etc.) for biomedical research. • Proficient coding/scripting in Python, R. Familiar with Biopython, Tidyverse, Bioconductor, scikit-learn • Familiar with Linux environments, high-performance computing and/or cloud computing environment and broad experience with open-source bioinformatics tools to generate scientific insight. • Must be comfortable with fast-paced environment handling multiple projects simultaneously with different priorities and timelines. Strong motivation, passion and commitment to interdisciplinary science and techniques. PREFERRED QUALIIFICATIONS • Familiar with various sequencing platforms: Ion Torrent, Illumina, PacBio, Nanopore, 10x genomic • Familiar with public resources: GISAID, NCBI, EMBL, UniProt, PDB • Knowledge about vaccine development and immunology Relocation support available Work Location Assignment:On Premise The annual base salary for this position ranges from $64,600.00 to $107,600.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 7.5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Research and Development

Summary Are you trained in bioinformatics and passionate about deciphering... the complexities of dementia? We're seeking a smart and dedicated scientist who can help us gain a broader understanding of neurodegeneration through computational analyses. In return, we offer a strong environment for learning advanced genetic technology, viral manipulation, molecular biology, and behavioral analyses needed to design and study mouse models of human disease. Why consider us? • Great training environment - highly collaborative team, strong research infrastructure • Supportive advisor, focused on your professional development • Opportunity to rapidly impact a range of ongoing research studies • Fully-funded position, with the potential to learn grant writing skills • Highly diverse city with cultures and food from around the globe • Low cost of living relative to other major research centers like Boston and San Francisco Help us to expand the range of techniques we can leverage to understand the causes of degenerative disease and design treatments to intervene. Learn more about our team and our ongoing projects at: https://www.bcm.edu/research/labs-and-centers/faculty-labs/joanna-jankowsky-lab The laboratory is located at the main Baylor College of Medicine campus which enjoys a vibrant and collegial scientific environment. BCM itself is located in Houston's Texas Medical Center, a 1,000-acre complex of over 50 independent institutions within easy access. Houston is the fourth largest city in the US and is home to a diverse international population. The city offers great restaurants, a warm climate, and affordable housing. Job Duties • Designs and conducts smart, impactful experiments to analyze transcriptional consequences of targeted genetic manipulations in mouse models of disease. • Leverages expanding single cell and bulk RNA brain transcriptional datasets for comparison with mouse findings. • Carefully collects, exhaustively analyzes, and thoughtfully interprets experimental results to conclusively test hypotheses, identify limitations, and define next steps. • Plunders the literature for new ideas, methods, and resources. • Communicates the rationale, design, outcome, and impact of our work to others in the field in clear prose and visually effective figures Minimum Qualifications • MD or Ph.D. in Basic Science, Health Science, or a related field. • No experience required. Preferred Qualifications • Strong background in bioinformatics • Strong understanding of molecular biology • Familiarity with neurodegenerative disease biology and mouse models for these disorders • Be self-motivated, detail-oriented, and independent, but also able to collaborate effectively. Additional Information: The appointment is for an initial term of one year, with the expectation of continued support pending successful progress. The position comes with competitive salary and benefits, commensurate with experience. The start date is flexible, and applications will be reviewed on a rolling basis until the position is filled. Application Documents: CV including contact information for 3 references Applicant Instructions With your application, please submit a resume/CV, including contact information for 3 references. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. Requisition ID: 15906

Are you a forward-thinking and curious Bioinformatician with skills in large scale omic analysis? Do you also want to improve the way we discover and develop medicines? Welcome to join AstraZeneca! We are looking for an experienced bioinformatician to join our Data Science & Bioinformatics team. You will be part of the Translational Science and Experimental Medicine (TSEM) department in the... Respiratory and Immunology therapeutic area. As a department we promote an open and collaborative atmosphere, with a culture that is both science-based and patient-focused. Our mission is to understand disease mechanisms at the molecular level, identify the most effective targets and the right patient populations. This role is located at one of our sites in either Gothenburg (Sweden) or Gaithersburg (US). Be encouraged and supported to think creatively in our dynamic environment. Here we are free from fear of failure, free to ask the right questions and make bold decisions. We harness data science & AI to fast-forward our research. Making sure work born in a lab can make a real difference, every day, impacting patients’ lives across the world. What you will do In this role, you will work in a highly cross-functional and thriving environment together with specialists in sequencing, immunological and respiratory disease, as well as with other data science & bioinformatics experts. For this role we are looking for an outstanding bioinformatician to enable translational science via integration of large-scale omics, clinical data, real world evidence and literature data to deliver precision medicine within our pipeline. You´ll be identifying novel targets, biomarkers and patient sub-groups through innovative data analysis approaches including utilization of clinical cohort omics data sets. You will contribute to the identification of transformational precision medicine propositions to deliver life changing medicines to patients. You will be responsible for planning, performing and interpreting your analysis and communicate results. By applying state-of-the-art analytical methods, you will maximise the knowledge extrapolated from our growing omics data in complex diseases impacting the project progression and future treatment options for patients with unmet medical needs. Depending on your previous experience, your initial career level will be an Associate Principal Scientist or Senior Scientist. Essential for the role • MSc with extensive industry experience, or preferably, PhD or equivalent in bioinformatics, data science, statistics, biostatistics, mathematics, or another similar subject area. • Experience and proficiency in large-scale omics data analysis, integration and interpretation is a requirement. Omics include transcriptomics, single cell, proteomics (Olink, LC/MS), genomics, and other types of next generation sequencing (NGS) such as chromatin state approaches. • Excellent coding skills in Python, R, or similar language appropriate for large scale omics analysis and experience with version control (Git/Bitbucket). • A good understanding of life sciences and how omics data can be utilised to derive biological insight will be a minimum requirement. Experience from applying this across different phases of pharmaceutical discovery and development is a preference. • Outstanding communication and collaboration skills, both with experts and non-experts, and with peers as well as stakeholders is expected. Our team is a collaborative group, so the ability to be comfortable working in a goal-oriented way, with a team focused approach is central to be successful in the role. • We believe you also have a high degree of independence and a proactive and delivery focused approach. Desirable for the role • Experience in pharmaceutical R&D and/or Post-doc experience. • Molecular understanding of human diseases, patient stratification and biomarker-based endpoint generation, preferentially in respiratory and immunological disorders. • Track record of applying bioinformatic analysis to drive projects in drug discovery or development in an industrial or academic setting. • Broad experience applying machine learning methods such as random forests, clustering, dimensionality reduction in a systems biology or systems medicine context. • Working in a Linux environment, ideally with experience of cluster or cloud computing (e.g. AWS or Azure). • Experience from leading projects with internal groups/external collaborators. • Experience working within cross-functional teams. Why AstraZeneca? At AstraZeneca we turn ideas into life changing medicines and strive to continuously meet the unmet needs of patients worldwide. Working here means being entrepreneurial, thinking big, and working together to make the impossible a reality. If you are swift to action, confident to lead, willing to collaborate, and curious about what science can do, then you’re our kind of person. Work policy When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working give us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. What’s next? If you are ready to make a difference - apply today, and we'll make it happen together! We welcome your application (including CV and cover letter), no later than January 12, 2024. If you’re curious to know more about the position, please get in touch with hiring manager Greet De Baets at greet.debaets1@astrazeneca.com. Where can I find out more? Follow AstraZeneca on LinkedIn: https://www.linkedin.com/company/1603/ Follow AstraZeneca on Instagram: https://www.instagram.com/astrazeneca_careers/?hl=en Read more about BioPharmaceuticals R&D: https://www.astrazeneca.com/r-d.html AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements

OPS Bioinformatics Technician Job No: 531754... Work Type: Temp Full-Time Location: Main Campus (Gainesville, FL) Categories: Biology/Life Science Department: 11600101 - RE-ICBR-BIOINFORMATICS Job Description Classification Title: OPS Bioinformatics Technician Job Description: • Scientific software development using Python, R, and Bash to support analytical activities that include scripting, visualization, and reporting in a high-performance computing environment. • Management of large datasets, developing automated procedures for data storage, archival, and delivery. • Other duties as required. Expected Salary: $18 - $21 per hour, commensurate with education and experience Minimum Requirements: A bachelor's degree in an appropriate area of specialization and two years of experience. Preferred Qualifications: • Master's degree in Bioinformatics, Computational Biology, or related discipline. • Knowledge of Python, R, and Bash scripting, with demonstrable proficiency in at least one. • Experience with scientific data visualization. • Familiarity with Unix-based high-performance computing environments. • Familiarity with pipeline development frameworks (e.g. Nextflow). • Experience with NGS data analysis including bulk and single cell RNASeq. • Ability to communicate clearly and effectively with employees and customers. • Ability to willingly accept constructive criticism from supervisor. • Self-motivated, positive individual. • Ability to work effectively in a dynamic, team-oriented environment. Special Instructions to Applicants: In order to be considered, you must upload your cover letter and resume. Application must be submitted by 11:55 p.m. (ET) of the posting end date. Health Assessment Required: No Applications Close: 06 Jun 2024 To apply, visit https://explore.jobs.ufl.edu/en-us/job/531754/ops-bioinformatics-technician The University is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. jeid-24ffffa139b5c14c9ecafad4de9124b4

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 group in the Department of Biomedical and Health Informatics (DBHI) at Children’s Hospital of Philadelphia (CHOP) is seeking a Bioinformatics Scientist to join our team to support ongoing basic and translational research within the Center for Childhood Cancer Research (CCCR) and the Department of Anesthesiology and Critical Care Medicine. The candidate will be embedded in the laboratories of Dr. Caroline Diorio and Dr. Robert B. Lindell and will support scientific projects focused on immune dysregulation disorders related to infection, or due to cancers or cancer therapies. Major areas of focus will be CAR-T and cytokine release syndrome/immune effector cell associated neurotoxicity syndrome, and the immunologic phenotypes of sepsis. The candidate will attend lab meetings and interact daily with principal investigators and individual lab members. Additionally, the candidate will work with a principal investigator overseeing the bioinformatics group in the CCCR and our extended bioinformatics group in DBHI to stay current on emerging technologies and algorithms. The successful candidate will preferably have a MS degree in Bioinformatics, Computational Biology, or a related field, and must have demonstrable skills in coding in R and/or Python, though both are preferred. The successful candidate will have had biology training, experience with high-performance and/or cloud-based computing environments and will be expected to analyze data generated from proximity extension assays (i.e. Olink), bulk RNA sequencing, and multiparameter flow cytometry. Additionally, the successful candidate is expected to have experience with single cell RNA sequencing somatic single nucleotide variants (SNVs), indels, structural variations (SVs), fusion transcripts, or copy number analyses as well as experience in other types of bioinformatics analyses, particularly those involving next-generation sequencing. The successful candidate will have experience with established algorithms/pipelines processing genomics data, and the ability to learn and apply new methods. They will also be able to conceive and develop innovative solutions for a variety of computational challenges of these data and develop creative data visualizations. Strong communication, time-management, and presentation skills are essential. Knowledge of cancer biology and/or genomics is preferred. 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. 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 Experience • Four (4) or more years of experience in applied bioinformatics, genomics, and computational work. • Knowledge of cancer biology and/or genomics. 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 Agricultural Research Service (ARS) is the United States Department of Agriculture's chief scientific research agency and one of the world's premiere scientific organizations. ARS Postdoctoral Research Associates are hired to supplement a lead scientist's research on agricultural problems of high national priority affecting American agriculture. • *ANNOUNCEMENT IS OPEN UNTIL FILLED OR DECEMBER 14, 2024

Financial Analyst I, Lyda Hill Department of Bioinformatics Why UT Southwestern ... With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As one of the world’s foremost research institutions, UT Southwestern Medical Center is known for our life-changing research that has led us to 6 Nobel Prizes. With a Financial Analyst I career in our esteemed Lyda Hill Department of Bioinformatics; you will be a key part of our multidisciplinary research facility with opportunities to work with leaders in patient care and medical research. We invite you to be a part of the UT Southwestern team where you’ll discover a culture of teamwork, professionalism, and a rewarding career! Job Summary The Lyda Hill Department of Bioinformatics seeks a highly motivated, career-minded Financial Analyst I to join a thriving administrative team. This position will work closely with the Sr. Financial Analyst and members of the administrative team in a range of activities to prepare reports, process forms, and monitor and analyze all financial aspects of the Department and associated research teams. The Department is highly collaborative, strong team culture collaborative while also empowering each team member to take ownership of their areas of responsibility and pursue their full career potential. This role offers a hybrid work arrangement (subject to change). Experience and Education Minimum Requirements • Bachelor's degree in finance, accounting, or other related field and no experience required. Preferred Requirements • 1 - 2 years of accounting or finance experience. Advanced Excel skills Job Duties • Completes monthly financial management reports and reviews all reports for errors and inconsistencies; analyzes variations in forecasts and actual performance; determines reasons for variance; develops recommendations for improvement; completes written summaries of financial data. • Assists with preparing monthly financial reports, schedules for annual financial reports, and reports to various government agencies, ensuring conformance of such reports with applicable procedures and regulations of University of Texas System and Federal and State agencies concerned. • Identifies areas of poor performance, presents findings, and makes recommendations to upper management. • Prepares financial models and conducts financial analyses. • May assists in maintaining controls for policies and procedures for financial system; develops and maintains delegation of authority of various procedures, such as check requests, refunds, invoice approval, bad debt write-offs, etc. • Assists with special projects as requested. • Performs other duties as assigned. To learn more about the benefits UT Southwestern offers visit https://www.utsouthwestern.edu/employees/hr-resources/ For general COVID-19 information, applicants should visit https://www.utsouthwestern.edu/covid-19/work-on-campus/ UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of: race; color; religion; national origin; sex; including sexual harassment; age; disability; genetic information; citizenship status; and protected veteran status. In addition, it is UT Southwestern policy to prohibit discrimination on the basis of sexual orientation, gender identity, or gender expression

Description Are you looking for a career that will make an impact ... The Leidos Health & Civil Sector is currently looking for a Bioinformatics Engineer to support biological research at the Biological Defense Research Directorate (BDRD) at the Naval Medical Research Center (NMRC) in Frederick, MD. The BDRD within NMRC facilitates biological research for the rapid detection of infectious diseases of global importance and the enhancement of global disease surveillance for early pathogen detection and response. Are you ready for unique and exciting work? The Bioinformatics Engineer plays an important role in the quality control, assembly, annotation, and dissemination of microbial (bacterial and viral) genomes in a military medical research setting. While the primary task for the Bioinformatics Engineer is to assist in microbial genome assemblies and downstream analyses to a complete (polished genome) standard, they will also contribute to other tasks such as analysis of RNAseq data and bioinformatic pipeline development and testing. Primary Responsibilities The ideal candidate shall: • Manipulate and process raw sequencing data from in-house Next Generation Sequencing (NGS) platforms (MiSeq, NextSeq500, Ion S5, PacBio, MinION), microarrays, publicly accessible databases, and/or external collaborators. • Perform quality control, assembly, annotation, etc. • Integrate high-throughput data from multiple sequencing platforms. • Use a variety of bioinformatic tools and potentially develop new software applications to solve salient problems in the field of genomics. • Download, install, and benchmark open-source software packages from a variety of sources (GitHub, SourceForge, etc.). • Assist staff scientists in summarizing research data, preparing posters, and/or presenting results via conference presentations, scientific publications, or project reports. • Attend internal meetings and teleconferences as well as external meetings with collaborators and stakeholders when deemed appropriate. • Contribute to technical reports, presentations and manuscripts for publication. • Assist with appropriate training of other personnel. • Work is to be performed on a government installation. The normal work week is Monday - Friday 0800 to 1630. • Candidates may need to work evenings and weekends on very rare occasions. If this sounds like an environment where you can thrive, keep reading for the keys to success! Required Education, Knowledge, Skills and Abilities: • Candidates must have completed a Master’s degree in Bioinformatics from an accredited US university, or international university of equivalent standard • Candidates must have at least 2-4 years of hands-on experience in Bioinformatics. • Possess programming skills in languages such as JAVA, PERL, PYTHON, and statistical software such as R or R Studio. • Maintain a familiarity with next generation sequencing and microarrays. • Have excellent verbal and writing communications skills. • Be able to think independently and must have excellent problem-solving skills. • The candidate will be required to acquire, at a minimum, a SECRET classification access level. Preference will be given to a candidate who already has this clearance level. • Due to Federal contract requirements, US citizenship is required. • Strong background in genomics, bioinformatics computer science, bacterial or viral genetics, and/or computational biology. • Be able to perform under deadlines and in austere environments. Preferred Qualifications • Experience in a military medical research laboratory is a plus. • Ability to work well independently with little to no supervision. Naval Health East - NHE Original Posting Date: 2024-05-29 While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $65,000.00 - $117,500.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law