Bioinformatics Jobs

Job Description Faculty Qualifications Faculty Job: Faculty Organization: School of Medicine - Clinical Departments Job Posting: Mar 5, 2025

Posting Details I. DEPARTMENT INFORMATION Job Description Summary: Founded in 1824, the GW School of Medicine and Health Sciences (SMHS) is the 11th oldest medical school in the country and the first in the nation’s capital. Since its establishment, the school has been at the forefront of medical education and has grown to include highly-ranked programs in the health and biomedical sciences. With dozens of top-tier residency programs, SMHS is a competitive and esteemed destination for medical school graduates and biomedical researchers across the country. Mazumder Lab located at the Washington DC Foggy Bottom campus is involved in the development of knowledge bases (e.g. GlyGen, ARGOS, Biomarker-Partnership) and bioinformatics software (HIVE, PredictMod). Find out more here:http://smhs.gwu.edu/ and https://hivelab.biochemistry.gwu.edu/ The Bioinformatics Specialist I will work under the direct supervision of Dr. Raja Mazumder at The George Washington University (Washington DC, USA) and will be involved in the development of knowledge bases and bioinformatics tools. Employees are in charge of the research and development process. Investigative research, research design, and experimentation are all part of the job. Employees in this subfield undertake data investigation, interpretation, and analysis for research initiatives. They will be significantly contributing to the deliverables and development of data analysis tools and web resources. Tasks include mining research data, establishing data specifications, writing data integration scripts, building data models, and managing and updating datasets. Bioinformatics is a branch of biology and computer science concerned with the collection, storage, analysis, and transmission of biological data, such as nucleotides, proteins, glycans, and other biomolecules. Responsibilities include: • Developing backend, managing, and maintaining data and processed datasets, and testing API-driven workflows. • Assisting in the testing and development of portals, software, tools, and workflows produced in the lab. • Assisting in the maintenance and update of portals and knowledge bases. • Assisting in the submission of datasets to collaborators and sponsors. • Biocuration of glycans, proteins, genes, and omics data. • Writing specification documentation for research projects, generating frontend mockups, and creating web interfaces. • Using GitHub, Slack, and similar tools for communication. • Maintaining documents and meeting notes. Creating, presenting, and discussing various progress reports with project stakeholders. • Scheduling tasks and following up on the progress with stakeholders. • Coordinating meetings and assisting in drafting research reports, proposals, publications, and presentation content. The research reports will contain statements covering tasks performed and research findings, including: a clear account of the work performed under each task during the reporting period; an outline of the work to be accomplished during the next report period; a description of any problems encountered or anticipated that will affect the completion of any work within the constraints set, together with recommended solutions to such problems. This position performs other duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position. Minimum Qualifications: Qualified candidates will hold a Bachelor’s degree in an appropriate area of specialization plus 2 years of relevant professional experience. Degree must be conferred by the start date of the position. Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications: Preferred Qualifications: • Expert in genomic data analysis and biocuration. • Has familiarity with biological databases. • Knowledge in programming/scripting, database management, and software development (Python, MongoDB). • Familiarity with web frameworks and front-end development (HTML/CSS/JavaScript). • Familiarity with bioinformatics platforms/tools and biomedical data modeling. • Familiarity with developing API web services and backend development. • Familiarity with database structures and data dictionaries. Hiring Range $52,385.57 - $83,863.89 GW Staff Approach to Pay How is pay for new employees determined at GW? Healthcare Benefits GW offers a comprehensive benefit package that includes medical, dental, vision, life & disability insurance, time off & leave, retirement savings, tuition, well-being and various voluntary benefits. For program details and eligibility, please visit https://hr.gwu.edu/benefits-programs. II. POSITION INFORMATION Campus Location: Foggy Bottom, Washington, D.C. College/School/Department: School of Medicine and Health Sciences (SMHS) Family Research and Labs Sub-Family Bioinformatics Stream Individual Contributor Level Level 1 Full-Time/Part-Time: Full-Time Hours Per Week: 40 Work Schedule: Monday through Friday, 9:00 am - 5:30 pm Will this job require the employee to work on site? Yes Employee Onsite Status Hybrid Telework: Yes Required Background Check Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search Special Instructions to Applicants: Employer will not sponsor for employment Visa status Internal Applicants Only? No Posting Number: R002251 Job Open Date: 01/30/2025 Job Close Date: Background Screening Successful Completion of a Background Screening will be required as a condition of hire. EEO Statement: The university is an Equal Employment Opportunity employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law.

About Haystack Oncology Haystack Oncology, now part of Quest Diagnostics, is a next-generation liquid biopsy company focused on advancing tumor-informed minimal residual disease (MRD) testing. Our proprietary technology enables highly sensitive and specific detection of circulating tumor DNA (ctDNA), improving patient outcomes through earlier detection of residual disease. As we continue to expand our assay portfolio and bring cutting-edge diagnostics to the public, we are seeking a skilled Bioinformatics Engineer to join our growing team. This role will play a critical part in supporting clinical production testing, clinical trials, and assay R&D for Quest Diagnostics laboratories in the US and Europe. Role Overview As a Bioinformatics Engineer, you will develop and maintain cloud-based computational infrastructure for the analysis of genomic data from our proprietary MRD assays. You will work cross-functionally with laboratory, LIMS, and IT teams to ensure seamless integration of bioinformatics workflows with clinical and research operations. This professional can work in a Hybrid capacity with 2-3 days in office a week. • Develop & maintain cloud infrastructure for scalable and efficient genomic data analysis. • Implement and optimize Python and Nextflow bioinformatics workflows • Integrate bioinformatics pipelines with Laboratory Information Management Systems (LIMS) to streamline data processing. • Ensure compliance with IT security and privacy controls, aligning with Quest Diagnostics’ corporate policies. • Apply software engineering best practices, contributing to the scalability, robustness, and maintainability of bioinformatics pipelines. • Develop and manage databases and applications for quality control (QC) and assay performance monitoring. • Document and validate bioinformatics systems in compliance with regulatory and quality standards for clinical diagnostics. Required Work Experience: 1+ year similar experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools. At least 1 year of experience working in a regulated industrial life sciences environment. Professional software development or technical engineering experience • Background in software or infrastructure engineering, with experience in bioinformatics. • Proficiency in bioinformatics pipeline workflow management, particularly Nextflow (preferred), Cromwell, or CWL. • Hands-on experience developing cloud-native infrastructure (AWS preferred) for storage, batch computing, and serverless applications. • Expertise in infrastructure as code (IaC) technologies such as Terraform or AWS CDK. • Strong programming skills in Python, JavaScript/TypeScript, R, or other relevant scripting languages. • Experience with API development and integration, particularly JSON-based RESTful APIs. • Deep understanding of version control (Git), CI/CD best practices, and software development lifecycle (SDLC). • Ability to work cross-functionally in a multi-disciplinary environment with minimal supervision. • Strong problem-solving, analytical, and troubleshooting skills, with the ability to diagnose and resolve technical issues. • Excellent verbal and written communication skills in English, with the ability to translate technical concepts for non-technical stakeholders. Preferred: • Experience in a clinical diagnostics or regulated environment (e.g., CLIA, CAP, IVDR, FDA) with knowledge of software validation and regulatory requirements. • Understanding of controlled processes, environment management, and quality control systems in a clinical setting. • Familiarity with DevOps methodologies. Why Join Haystack Oncology? • Work on cutting-edge liquid biopsy technology that directly impacts cancer patient care. • Collaborate with industry-leading experts in bioinformatics, genomics, and clinical diagnostics. • Be part of a high-growth environment with opportunities for professional development. • Contribute to innovation at the intersection of bioinformatics, cloud computing, and clinical diagnostics. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

Overview Join the HJF Team! HJF is seeking a Bioinformatics Analyst III (Computational Biology) who designs and executes computational genomics and statistical analysis (mutation discovery and trait association) in large DNA Whole Genome Sequencing (WGS) cohorts and genome wide RNA expression analysis. Provides analytic support and collaborative assistance to investigators and personnel. This position will be in support of Walter Reed Army Institute of Research (WRAIR), Medical Readiness Systems Biology Branch (MRSB) Branch. MRSB Branch, aligned under the Center for Military Psychiatry and Neuroscience (CMPN), consists of a team of laboratory molecular biology research scientists and technicians alongside computational biologists and bioinformaticians focused on identifying biomarkers of disease using a systems biology and multi-omics approach. Laboratory scientists and support staff complete a wide range of laboratory assays necessary for generating multi-omics datasets as well as research dissemination efforts including compiling, summarizing, and presenting information to inform novel research efforts and disseminate findings. Computational scientists perform advanced data analyses and manage big data to identify biomarkers and develop products for a variety of stakeholders across the military health system, in addition to, conducting literature reviews, writing manuscripts, and developing new research protocols, and funding proposals. Products developed, analyzed, and presented by the MRSB are regularly used by enterprise leadership to inform doctrine, practices, and policies. The research mission of MRSB aims to apply robust and precise molecular-based solutions for military-relevant health performance, resilience, and readiness. MRSB is a disease agnostic program that utilizes high-throughput, multi-omics platforms supported by a suite of cutting edge, targeted assay tools and AI-driven analytical capabilities to identify diagnostic and prognostic biomarkers and generate a knowledge base about biological mechanisms and personalized care. The Henry M. Jackson Foundation for the Advancement of Military Medicine (HJF) is a nonprofit organization dedicated to advancing military medicine. We serve military, medical, academic and government clients by administering, managing and supporting preeminent scientific programs that benefit members of the armed forces and civilians alike. Since its founding in 1983, HJF has served as a vital link between the military medical community and its federal and private partners. HJF's support and administrative capabilities allow military medical researchers and clinicians to maintain their scientific focus and accomplish their research goals. This position is contingent upon contract award. Responsibilities • Evaluates, analyzes, and customizes next generation sequence analysis protocols, e.g. HiSeq Analysis Software, Genome Analysis Toolkit (GATK), open source software, for a variety of sequencing applications. • Develops new WGS, RNA-seq, Exome seq, genome analysis pipelines and procedures. • Performs genome wide trait association analyses using tools such as Plink/seq, generalized linear model (glm). • Conducts data‐driven and hypothesis-directed genomics research. • Assists with the report of experimental results for publication in technical and peer-reviewed journals. Contributes and edits data, text and figures in program publications. • May supervise junior informatics staff. • May perform other duties and responsibilities as assigned or directed by the supervisor. This may include attendance of and participation in required training for role. Supervisory Responsibilities • Assigned Lead: May recommend the following: employee hiring, disciplinary action, and starting salaries; provide input on employee performance evaluations. Qualifications Education and Experience • Master's Degree required, Doctoral degree preferred within Computational Biology, Bioinformatics, Biostatistics, Computer Science or related discipline • Minimum of 0-2 years experience required Required Knowledge, Skills and Abilities • Research training and proficiency in statistical analysis biomedical research, and quantitative analysis. Programming ability in (R or other statistical language). • Scripting language (Perl, Python, or comparable), and (C/C++, Java or comparable language). • Experience with next-generation sequencing analysis i.e. alignment, quality assessment, variant detection, statistical inference. • Preferred experience with trait association analysis such as Plink, glm. • Experience with pipeline development and implementation on compute clusters. • Experience with power calculations and study design. • Demonstrated ability to work effectively as part of a team in a deadline-driven environment. • Good communication and analytical skills. • US Citizenship and the ability to obtain and maintain a T3/Secret Clearance Physical Capabilities • Lifting: Requires lifting materials up to 10 lbs. • Ability to stand or sit at a computer for prolonged periods. Work Environment • This position will take place primarily in a laboratory setting. Compensation • The likely salary range for this position is $64,200 - $90,000 annually. This is not, however, a guarantee of compensation or salary. Final salary will be determined based on market analysis, experience, and education. Benefits • HJF offers a comprehensive suite of benefits focused on your health and well-being, from medical, dental, and vision coverage to health savings and retirement plans, and more. Employment with HJF is contingent upon successful completion of a background check, which may include, but is not limited to, contacting your professional references, verification of previous employment, education and credentials, a criminal background check, and a department of motor vehicle (DMV) check if applicable. Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) Any qualifications to be considered as equivalents, in lieu of stated minimums, require the prior approval of the Chief Human Resources Officer.

About the Research Investigating and onboarding novel organisms and engineering novel properties into chassis biosystems requires management and analysis of bioinformation. The successful candidate will work across a number of teams to provide bioinformatic support to genetic, proteomic, biochemical, pathway, and systems biology research projects. Purpose: Microbial bioinformatics to include data analysis, predictive and descriptive modeling of genomic, metagenomictranscriptomic, proteomic, and metabolic datasets, relationships and phenomena. • Experience/Skills:* • Advanced degree (PhD or Masters with equivalent experience) in biological or chemical sciences/engineering, with focus on combined theoretical/experimental approaches to understand and engineer microbial consortia. • Must have experience with analysis of multi-omics data driving toward development of whole-system models of microbial consortia. • Experience with microbial engineering, genome-scale metabolic modeling, and experimental design are preferred. • Must have expertise in R and/or Python as well as Linux. • Must be able to obtain a secret clearance. • Able, interested, and motivated to work in a multidisciplinary environment. • Able to work on multiple sub-projects simultaneously. • Excellent English skills in speech and writing. • Overarching Position Description:* The Biotechnology Branch of the US Army Research Laboratory seeks a contract Bioinformatician to join a multidisciplinary team of microbiologists, biological engineers, computational biologists, chemists, and materials scientists performing research on microbial consortia for materials conversion. The contract Bioinformatician will be responsible for processing and analyzing large-volume sequencing, transcriptomic and proteomic data, and will contribute to the design of the –omics experiments that generate these data. In addition, this team member will build, maintain, and refine genome-scale metabolic models describing individual organisms as well as multi-organism consortia, in order to help guide the team's efforts to understand key metabolic features and relationships of natural and designed material-converting microbial consortia. Interacting and developing technical collaborations with external leaders in the field and maintaining a keen awareness of the current literature and developments in the field are also important components of this position. • Specific Tasks and Duties:* Assist with the design of genomic and metagenomic sequencing experiments. • Design and implement novel state-of-the-art analysis pipelines and methods to distill large sequencing and –omics datasets into the most significant and actionable results aligned with the experimental objectives. • Construct and analyze results from single- and multi-organism genome-scale metabolic models to predict or constrain the space of expected products and metabolic relationships between organisms in consortia. • Communicate results in presentations, written reports, open journal publications, and patent applications. • Maintain current awareness of the relevant technical landscape by reading literature and participating in technical conferences or symposia. • Identify potential external collaborators. Develop strategic and mutually beneficial collaborative relationships to advance Army capabilities and accelerate accomplishment of project goals. ARL Advisor: Valerie E. Martindale ARL Advisor Email: valerie.e.martindale.civ@army.mil About HRED The Human Research and Engineering Directorate (HRED) is ARL’s principal center for research and development directed toward optimizing Soldier performance and human-autonomy teaming. Research within HRED focuses on how to improve Soldier performance in a dynamic and changing battlefield. As technology and autonomous systems become an increasingly integral part of Soldier teams, it is critical to determine how these systems can work with and be adapted to the Soldier and their capabilities. Autonomous systems must be able to be integrated into Soldier teams and move from tools to teammates. Critical to this is an understanding of how humans and human teams perform and change in dynamic environments and situations. HRED leverages human-robot interaction, human-informed machine learning, human cognition and adaptive teaming to improve human-autonomy teaming for future Army teams. About ARL-RAP The Army Research Laboratory Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences. A complete application includes: • Curriculum Vitae or Resume • Three References Forms • An email with a link to the reference form will be available in Zintellect to the applicant upon completion of the on-line application. Please send this email to persons you have selected to complete a reference. • References should be from persons familiar with your educational and professional qualifications (include your thesis or dissertation advisor, if applicable) • Transcripts • Transcript verifying receipt of degree must be submitted with the application. Student/unofficial copy is acceptable If selected by an advisor the participant will also be required to write a research proposal to submit to the ARL-RAP review panel for : • Research topic should relate to a specific opportunity at ARL (see Research Areas) • The objective of the research topic should be clear and have a defined outcome • Explain the direction you plan to pursue • Include expected period for completing the study • Include a brief background such as preparation and motivation for the research • References of published efforts may be used to improve the proposal A link to upload the proposal will be provided to the applicant once the advisor has made their selection. Questions about this opportunity? Please email ARLFellowship@orau.org.

ORAU has a contingent job opportunity for a Bioinformatics Scientist in support of the overall functions of the Laboratory of Clinical Immunology and Microbiology (LCIM), Immune Deficiency Genetics Section, National Institutes for Health (NIH), located in Bethesda, MD. The positions are contingent on award of an upcoming contract with NIAID Professional, Scientific and Technical Support Services. Salary for positions will be determined based on education and experience. Relocation support is not available for this position. ORAU has been providing scientific and technical talent staffing solutions and designing, managing, and evaluating jobs and internships for more than 70 years. ORAU assists in connecting the best and most diverse group of students, recent graduates, faculty and professionals with world-class fellowships, internships and job opportunities, whether in national laboratories, research institutions, federal government offices or private sector R&D departments. Technical Requirements: • Perform and provide cutting edge bioinformatics approaches to study human and animal immune responses on both a single cell, cell population, and systems level using clinical and research materials from healthy subjects and patients with a variety of genetic or acquired immunodeficiencies. • Provide software and web applications for data analysis and visualization from inception to implementation to optimization. • Create custom workflows for automated data analysis using Python and other programming tools. • Perform data analysis using R, Python, JAVA, and SQL. • Provide data analysis of sequence and expression data from databases, laboratory sequencing initiatives, flow cytometry, and other sources. • Perform bioinformatics analysis including sequence processing, alignment, assembly, and annotation (such as with BWA, SAMTools, MUMmer, MetaSpades, HUMAnN2, etc). • Maintain detailed records of experiments and their results and prepare the information resulting from these experiments for presentations at laboratory-wide meetings and for publication. • Write reports of findings, stating methods and procedures, including any modifications employed, specimens and materials involved and results of experiments. Maintain laboratory records. Interpret, evaluate, and discuss the results of each experiment with the supervisor as part of the planning process for subsequent studies. • Operate and communicate effectively in a group, team-oriented working environment; Work with and support others in a collegial, open, respectful, and interactive working manner. Work collaboratively with others in the lab to generate data for publication(s). • Perform analysis and interpretation of data, prepare summaries of laboratory findings to be used in reports and papers to be presented at scientific meetings and/or publication in scientific journals. • Provide training of junior lab staff (postdocs, PhD students and postbacs) on software applications and approaches for bioinformatics.

Bioinformatics, Analyst II - ITEB, CGR Job ID: req4277 Employee Type: exempt full-time Division: Clinical Research Program Facility: Rockville: 9615 MedCtrDr Location: 9615 Medical Center Drive, Rockville, MD 20850 USA The Frederick National Laboratory is 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 DESCRIPTION We are seeking a skilled and motivated bioinformatics professional to join the Cancer Genomics Research Laboratory (CGR), located at the National Cancer Institute (NCI) Shady Grove campus in Rockville, MD. CGR is operated by Leidos Biomedical Research, Inc., and collaborates with the NCI’s Division of Cancer Epidemiology and Genetics (DCEG)—the world’s leading cancer epidemiology research group. Our scientific team leverages cutting-edge technologies to investigate genetic, epigenetic, transcriptomic, proteomic, and molecular factors that drive cancer susceptibility and outcomes. We are deeply committed to the mission of discovering the causes of cancer and advancing new prevention strategies through our contributions to DCEG’s pioneering research. Our team of CGR bioinformaticians supports DCEG’s multidisciplinary family- and population-based studies by working closely with epidemiologists, biostatisticians, and basic research scientists in DCEG’s intramural research program. We provide end-to-end bioinformatics support for genome-wide association studies (GWAS), methylation, targeted, whole-exome, whole-transcriptome and whole-genome sequencing along with viral and metagenomic studies from both short- and long-read sequencing platforms. This includes the analysis of germline and somatic variants, structural variations, copy number variations, gene and isoform expression, base modifications, viral and bacterial genomics, and more. Additionally, we advance cancer research by integrating latest technologies such as single cell, multiomics, spatial transcriptomics, and proteomics, in collaboration with the Functional and Molecular and Digital Pathology Laboratory groups within CGR. We extensively analyze large population databases such as All of Us, UK BioBank, gnomAD and 1000 genomes to inform and validate GWAS signals, study the association between genetic variation and gene expression and develop polygenic risk scores across multiple populations. Our bioinformatics team develops and implements sophisticated, cloud-enabled pipelines and data analysis methodologies, blending traditional bioinformatics and statistical approaches with cutting-edge techniques like machine learning, deep learning, and generative AI models. We prioritize reproducibility through the use of containerization, workflow management tools, thorough benchmarking, and detailed workflow documentation. Our infrastructure and data management team works closely with researchers and bioinformaticians to maintain and optimize a high-performance computing (HPC) cluster, provision cloud environments, and curate and share large datasets. The successful incumbent will provide dedicated analytical support to the Integrative Tumor Epidemiology Branch (ITEB) and contribute to the areas of metagenomics, spatial omics and somatic variant analysis in lung cancer research. The selected individual is expected to develop and apply computational tools to analyze complex microbial communities from environmental, clinical, or industrial samples, analysis of spatial transcriptomics and proteomics data to understand lung tissue microenvironment and cellular signatures, as well as detect and interpret somatic mutations in lung cancer. The bioinformatics analyst will work closely with DCEG investigators and CGR bioinformaticians and scientists with a high degree of independence. This role involves working with large-scale sequencing data, developing pipelines, and collaborating with interdisciplinary teams to derive biological insights, requiring the candidate to: KEY ROLES/RESPONSIBILITIES • Develop, implement, and optimize bioinformatics pipelines for metagenomic sequencing data analysis (e.g., taxonomic classification, functional annotation, and comparative genomics). • Analyze high-throughput sequencing data from lung whole-genome sequencing (WGS), bulk RNA sequencing (RNA-seq), and 16S amplicon sequencing. • Develop and maintain computational workflows for metagenomic analysis using tools such as Kraken2, Bracken, MetaPhlAn, and HUMAnN. • Perform quality control and model batch effects in lung metagenomics data. • Perform functional and taxonomic profiling of microbial communities to identify key patterns. • Use statistical approaches to interpret lung metagenomics data and associate with clinical and multi-omics data. • Develop robust pipeline for somatic variant analysis of WGS from lung cancer using tools like GATK, Mutect, Strelka. • Perform copy number and structural variant analysis in lung cancer samples. • Work with a multi-disciplinary team towards the development and analysis of reproducible, standardized workflows, in single-cell and spatial omics, by thoroughly researching the latest publications, developments and combining them with strong programming skills. • Review, QC, and integrate single-cell and spatial datasets and perform downstream statistical analysis using phenotypic and clinical metadata. • Maintain and document bioinformatics software and scripts for reproducibility and scalability. • Present research findings in publications, reports, and scientific conferences. • Lead instructional classes on bioinformatic approaches for somatic analysis of cancer. • Develop interactive web-based instructional materials, using tools such as GitHub Pages. BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of a bachelor’s or master’s degree from an accredited college/university in genetics, genomics, bioinformatics, biostatistics, computer science, computational biology or another related field, according to the Council for Higher Education Accreditation (CHEA) or four (4) 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 two (2) years of progressively responsible experience. • The ability to construct practical computational pipelines for data parsing, quality control and analysis for large-scale genetic or genomics datasets. • Strong programming skills (e.g., in R, Python) with experience in RStudio and Jupyter Notebooks. • Demonstrable shell scripting skills (e.g., bash, awk, sed). • Experience working in a Linux environment (especially a HPC environment or cloud). • Ability to obtain and maintain a security clearance. PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • Strong proficiency in programming (R and Bash) and GitHub. • Previous experience with lung cancer genomics research. • Strong experience analyzing high-throughput sequencing data including whole-genome sequencing data, bulk RNA sequencing, 16S rRNA sequencing. • Strong experience with microbial ecology, genomics, and statistical analysis. • Experience or familiarity with processing of single-cell and spatial omics data utilizing latest bioinformatics tools such as Cell Ranger, Space Ranger, Seurat, Scanpy, Squidpy, Cell2location etc. • Experience working in Linux-based environments and using HPC (high-performance computing) clusters. • Strong experience with large-scale multi-omics data integration (e.g., genomics, transcriptomics, metagenomics, meta-transcriptomics). • Good understanding of algorithmic efficiency and working on high performance clusters for supporting large and diverse datasets. • Experience with various environment/dependency management tools (e.g. pip, venv, conda, renv) and workflow management systems such as Snakemake or Nextflow. • Knowledge of containerization with Docker/Singularity, JIRA and GitHub for project management. • Understanding of software and workflow development best practices such as source control, test driven programming and continuous integration/deployment. • Strong analytical and problem-solving skills with attention to detail. • Strong communication skills, and the ability to work both independently and collaboratively as part of team. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, color, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here 90,500.00 - 155,625.00 The posted pay range for this job is a general guideline 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, and alignment with market data. The salary range posted is a full-time equivalent salary and will vary depending on scheduled hours for part time positions

Job Description Summary Job Description We are the makers of possible BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities. We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you’ll be supported to learn, grow and become your best self. Become a maker of possible with us. About us BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it's something we all embrace as we collectively design, manufacture and market billions of MedTech products per year. BD's Diagnostics Solutions business is seeking a Senior Bioinformatics scientist to join a highly multi-disciplinary team developing new infectious disease diagnostic technologies. The senior bioinformatics scientist will be expected to develop new methods and tools for data analysis and interpretation, including translating data into clinically actionable decision algorithms to support our customers and patients. The role will also design and optimize data analysis pipelines for improving R&D capability and efficiency. The ability to answer scientific questions from biological experiments is an essential skill for this position. The senior bioinformatics scientist will collaborate with research and development teams throughout the full project life-cycle, participating in product development from start to finish. This role offers an excellent opportunity to impact many aspects of the medical diagnostic business, while providing a substantial contribution to BD’s strong culture and commitment to quality product design and manufacture. Responsibilities: • Innovate, develop, train and validate automated algorithms to translate extensive microbiological datasets into clinically actionable decisions. • Collaborate to develop descriptive models and metrics from instrument platform data to enable exploratory data analysis and decision algorithm training. • Support project team activities by developing and maintaining algorithm and data analysis pipelines that collect, process and analyze, and display experimental data. • Collaborate with clinical and project teams to plan and analyze studies, experiments, and surveys; use statistics fundamentals to support and facilitate strategic decision making for management and project teams. • Program, document, and validate software code to execute data handling tasks, perform data analysis and produce data visualization results. • As a member of the R&D systems engineering and bioinformatics team, identify hardware design risks and work to implement process improvement initiatives. • Serve as cross-functional subject-matter expert in product and pipeline development from feasibility to market launch. • Present analyses and interpretations to internal and external customers. • Provide data analysis deliverables for projects to meet schedules and goals. Develop/revise work plans independently except for unusual situations, which might require consultation. • Review and/or prepare formal written reports/documents for distribution within and outside the department. QUALIFCATIONS • Self-Motivated Learner • Strong communication skills and ability to discuss data, modeling, and analysis with technical and non-technical audiences • A high degree of professionalism, customer focus, and organizational skills is required • Prior experience working within a regulated device or healthcare industry is preferred Requirements: • Bachelor’s degree with a Master’s degree in Computer Science/Engineering, Bioinformatics, Biostatistics or a related field preferred and/or 5+ years of equivalent experience in related role • 3+ year of experience in a related role with BA or MA degree, and/or 2+ years of experience with relevant PhD work. • Proficiency with Python, R, or similar data scripting / programming language is required • Demonstrated database management skills and familiarity with SQL required Preferred: • Coursework or experience in statistics fundamentals • Ability to interpret project level requirements and develop programming specifications, as appropriate • Experience with Software production and Test management tools • Demonstrable scientific experimental design and data science experience preferred. • Clear understanding of fundamentals of biological sciences. Knowledge in clinical microbiology is a plus. • Experience working both in Linux/UNIX and MS Windows environments is preferred. At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting. For certain roles at BD, employment is contingent upon the Company’s receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD’s Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law. Why Join Us? A career at BD means being part of a team that values your opinions and contributions and that encourages you to bring your authentic self to work. It’s also a place where we help each other be great, we do what’s right, we hold each other accountable, and learn and improve every day. To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of health. At BD, you’ll discover a culture in which you can learn, grow, and thrive. And find satisfaction in doing your part to make the world a better place. To learn more about BD visit https://bd.com/careers Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status. Required Skills Optional Skills . Primary Work Location USA MD - Sparks - 7 Loveton Circle Additional Locations Work Shift At BD, we are strongly committed to investing in our associates—their well-being and development, and in providing rewards and recognition opportunities that promote a performance-based culture. We demonstrate this commitment by offering a valuable, competitive package of compensation and benefits programs which you can learn more about on our Careers Site under Our Commitment to You. Salary or hourly rate ranges have been implemented to reward associates fairly and competitively, as well as to support recognition of associates’ progress, ranging from entry level to experts in their field, and talent mobility. There are many factors, such as location, that contribute to the range displayed. The salary or hourly rate offered to a successful candidate is based on experience, education, skills, and any step rate pay system of the actual work location, as applicable to the role or position. Salary or hourly pay ranges may vary for Field-based and Remote roles. Salary Range Information $90,000.00 - $148,400.00 USD Annual

Bioinformatics Analyst I Job ID: req4276 Employee Type: exempt full-time Division: Clinical Research Program Facility: Rockville: 9615 MedCtrDr Location: 9615 Medical Center Drive, Rockville, MD 20850 USA The Frederick National Laboratory is 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 DESCRIPTION The Cancer Genomics Research Laboratory (CGR) investigates the contribution of germline and somatic genetic variation to cancer susceptibility and outcomes in support of the NCI's Division of Cancer Epidemiology and Genetics (DCEG), the world’s most comprehensive cancer epidemiology research group. CGR is located at the NCI-Shady Grove campus in Rockville, MD and operated by Leidos Biomedical Research, Inc. We care deeply about discovering the genetic and environmental determinants of cancer, and new approaches to cancer prevention, through our contributions to the molecular, genetic, and epidemiologic research of the 70+ principal investigators (PIs) in DCEG. Working in concert with epidemiologists, biostatisticians and basic research scientists in DCEG’s intramural research program, CGR provides the capacity to conduct genome-wide discovery studies and targeted regional approaches to identify the heritable determinants of various forms of cancer. Within CGR, the Molecular and Digital Pathology Laboratory (MDPL) is dedicated to the support of genetic and epidemiologic studies for DCEG investigators through tissue profiling and image analysis. This includes the design and analysis of high throughput molecular epidemiologic studies using various types of “omics” technologies such as AI-based histomics, proteomics (immunohistochemistry, multiplex immunofluorescence, digital spatial profiling), and somatic genomic analyses. We are seeking a highly motivated bioinformatics analyst to provide dedicated statistical support and AI model development to support large-scale epidemiological research on cancer etiology and progression through integrative analyses of risk factors and image analysis to inform prevention and clinical strategies. KEY ROLES/RESPONSIBILITIES • Coordinate with existing laboratory, project management and analytical staff to track study progress from conception (developing analytical plans and study protocols) through completion (preparation of summary reports for presentation and publication) • Execute statistical and AI efforts of epidemiologic and clinical image-based data • Accurately maintain thorough documentation and version control of data management activities (data cleaning, harmonization, and statistical analysis) • Document all analyses and pipelines used in support of reproducible and FAIR research • Support process improvement and assay development activities in collaboration with CGR development resources and senior laboratory management staff • Participate in the writing and review of laboratory SOPs to help ensure image quality and data is suitable for downstream analyses. Follow established protocols and assist with deviations and corrective actions • Meet expected schedules and performance expectations in a fast-paced research environment • Support a culture of continuous improvement and accountability; contribute to troubleshooting of issues associated with assay and image processing BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of a bachelor’s or master’s degree from an accredited college/university in genetics, genomics, bioinformatics, biostatistics, computer science, computational biology or another related field. Foreign degrees must be evaluated for U.S equivalency • No additional work experience required with a bachelor's degree • Strong analytical skills and experience with statistical software applications used in public health research, such as Stata and/or R, Python, C++ (please indicate relevant software applications and degree of proficiency) • Demonstrable shell scripting skills (e.g., bash, awk, sed) • Experience working in a Linux environment (especially a HPC environment or cloud) • Careful attention to detail • Collaborative, team-oriented approach to solving problems and achieving goals • Strong organization skills, ability to multitask and manage time effectively • Excellent communication skills (verbal and written) • Ability to obtain and maintain a security clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • Master’s degree in epidemiology, public health, data science, biostatistics, or a related field • Familiarity with eLN and/or LIMS systems for sample and workflow tracking • Experience with image analysis software such as Halo, QuPath, Visiopharm, Definiens, etc. (please indicate relevant software applications and level of proficiency) • Experience in the application of artificial intelligence (machine learning or deep learning) to pathology and clinical image analysis • Proficiency with core statistical and bioinformatics methods (linear regression, logistic regression, eQTL analysis, LDscore regression, credible set and colocalization analysis, etc.) • Experience with various environment/dependency management tools (e.g. pip, venv, conda, renv) • Knowledge of DevOps tools and technologies, such as Docker/Singularity, GitHub for code management • Team-oriented with demonstrated ability to self-educate in current bioinformatics techniques and resources • Ability to multi-task in a fast-paced environment, organize and execute multiple projects in parallel both independently and as part of working groups Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, color, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here 74,800.00 - 128,625.00 The posted pay range for this job is a general guideline 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, and alignment with market data. The salary range posted is a full-time equivalent salary and will vary depending on scheduled hours for part time positions

Overview Black Canyon Consulting (BCC) is searching for a Bioinformatics Data Scientist/Analyst to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work. The National Center for Biotechnology Information (NCBI) is part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH). NCBI is the world’s premier biomedical center hosting over six million daily users that seek research, clinical, genetic, and other information that directly impacts biomedical research and public health. The National Center for Biotechnology Information (NCBI) is part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH). NCBI is one of the top 400 most visited sites and its wide range of applications serve more users and more data than any other US Government Agency. NCBI provides free access to petabytes of biomedical and genomic information, and scientists all over the world use our products, including PubMed, ClinicalTrials.gov, GenBank, RefSeq, and ClinVar. Job Description We are looking for an outstanding candidate to help process and analyze data in NLM-NCBI’s RefSeq Virus group. The candidate will be responsible for: • Collecting, processing, and analyzing biological datasets to support public virus resources • Developing methodologies and tools for the identification and classification of viral sequences based upon genomic and protein sequence content • Improving sequence data quality and annotation based on bioinformatic analysis, appropriate scientific literature, and through direct communication with scientists • Outreach to research scientists, data scientists, and clinicians • Interacting and collaborating with a diverse group of scientists, bioinformaticians and software developers within and outside the NIH to meet the needs of clinical and basic researchers and public health professionals. Qualifications: The ideal candidate must have a doctoral degree and postdoctoral experience. We are looking for an individual with: • A track record of research or work in viral genomics and bioinformatics • Familiarity with virus taxonomy, comparative genomics, and evolutionary processes • Experience in bioinformatics of DNA and RNA sequence analysis and the development of robust workflows for automated data processing • Proficiency in at least one scripting language (e.g., Python) • Experience with SQL • Ability to work with common structured documents (XML, JSON, CSV) • Familiarity with NCBI resources and tools • Experience in interpreting complex biological problems, critically analyzing the scientific literature, and demonstrating a thorough understanding of the strengths and weaknesses of high-throughput experimental datasets • Excellent verbal and written communication skills, organizational skills, and problem-solving skills • A proven ability to successfully engage in multi-disciplinary collaborative research Benefits and Salary We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. We offer a competitive salary commensurate with experience and location. The targeted range for this position is $125,000 - $145,000. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!