Bioinformatics Jobs

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.

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

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

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.

Overview Black Canyon Consulting (BCC) is searching for a Sr. Software Developer in Bioinformatics and Big Data 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. NCBI, the National Center for Biotechnology Information, the nation’s premier biomedical resource, is seeking a software developer to help deliver biological sequence annotation and data curation infrastructure for the nation’s foremost sequence and biomedical literature repositories. Sites at NCBI, a part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH), see four million daily users searching for gene sequence data, biomedical journal citations, and a wide array of other information that directly impacts biomedical research and public health. NCBI’s annotation pipelines not only serve these diverse expert communities – they actually drive new life sciences discoveries, ranging from medical health (viruses and pandemics, genetic diseases, cancer) to public health (food safety monitoring, antimicrobial resistance, viral outbreaks), to basic research topics in computational biology, bioinformatics and microbial diversity, and many more. On a technical level, NCBI’s wide range of applications, platforms (e.g. node, Python, Django, C++), and applications and environments (petabyte-level big data, multiple cloud providers) serve more users than the US Postal Service and see more traffic than the IRS at tax time. We embrace FAIR principles (Findable, Accessible, Interoperable, Reusable) and are on the cutting edge of civic tech and cloud computing. This role calls for more than an expert coder and architect – someone who can work equally effectively with subject-matter experts, user researchers, designers, product managers, scientists, security and DevOps engineers, and more. Work with teams of dedicated, skilled developers, researchers, and product professionals as you build robust, flexible solutions serving dozens of production applications, APIs and services. Join us! 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. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today! Duties & Responsibilities: • Responsible for the development, implementation, testing, and continued maintenance of NCBI bioinformatics software and information retrieval systems • Work with a diverse group of scientists, bioinformaticians and other developers across the center to implement efficient bioinformatics algorithms • Learn new technologies, keep up with internal systems, and share your knowledge with the team Required qualifications: • 5+ years of experience handling large amounts of data or working in a distributed computing environment • Programming experience in a Linux environment • Proficiency in C++ • Experience with MS SQL server and relational database design and optimization • Fluency in some scripting languages such as BASH, csh, Perl, or Python Preferred qualifications: • 5+ years of working with genetic and biological data • Proficiency in Python and/or JavaScript and familiarity with their associated ecosystems • Experience with MongoDB or other NoSQL database technology • Experience with Docker or other containerization mechanisms • Experience with CI/CD pipelines, unit testing, integration and regression testing • Experience using GitHub • Experience with Cloud technologies a strong plus

Haystack Oncology, now part of Quest Diagnostics, is a next-generation liquid biopsy company leading advancements in tumor-informed minimal residual disease (MRD) testing. Our proprietary technology enables the highly sensitive and specific detection of circulating tumor DNA (ctDNA), revolutionizing cancer diagnostics and treatment monitoring. We are seeking an accomplished Director of Bioinformatics to lead the development and implementation of innovative bioinformatics solutions in oncology diagnostics, supporting clinical production, translational research, and regulatory-compliant assay development. This role will drive scientific and technical strategy, oversee bioinformatics teams, and ensure seamless integration of machine learning, big data analytics, and computational biology into our expanding MRD testing pipeline. As the Director of Bioinformatics, you will play a strategic leadership role in advancing Haystack Oncology’s clinical and research bioinformatics initiatives. You will collaborate closely with cross-functional teams in genomics, clinical research, IT, and laboratory operations to develop cutting-edge algorithms, bioinformatics workflows, and scalable computational solutions. You will oversee bioinformatics-driven oncology diagnostics R&D, ensuring precision, efficiency, and regulatory compliance while integrating multi-parameter approaches, machine learning, and cloud-based data processing into our liquid biopsy assays. • Strategic leadership & innovation for bioinformatics and data analysis, providing scientific and technical insights to guide strategic decision-making across Haystack Oncology and Quest Diagnostics. • Lead the design, development, and optimization of bioinformatics pipelines for high-sensitivity ctDNA detection in oncology applications. • Ensure bioinformatics platforms adhere to regulatory standards (CLIA, CAP, IVDR, FDA) and industry best practices in software validation and data security. • Oversee the development of high-throughput bioinformatics workflows, leveraging cloud-based infrastructure (AWS preferred) and scalable computing solutions. • Establish rigorous quality control (QC) frameworks for genomic data interpretation and clinical reporting. • Partner with laboratory, clinical, regulatory, and commercial teams to align bioinformatics solutions with business and clinical needs. • Work with LIMS, IT, and data science teams to integrate bioinformatics workflows into clinical and research pipelines. • Support key partnerships with academic institutions, biotech, and pharmaceutical collaborators to drive bioinformatics innovation in oncology. • Lead and mentor a high-performing bioinformatics team, fostering a culture of collaboration, innovation, and scientific excellence. • Provide guidance on computational biology methodologies, experimental design, and bioinformatics-driven insights. • Promote continuous learning and development, encouraging the adoption of emerging technologies and best practices in bioinformatics. • A Ph.D. in Bioinformatics, Computational Biology, Genomics, or a related field, with 10+ years of experience in oncology bioinformatics and genomics. • Proven leadership experience in bioinformatics R&D, driving scientific and technical innovation in oncology diagnostics. • Expertise in NGS data analysis, ctDNA detection, and multi-omics integration for cancer research and precision medicine. • Strong background in machine learning, algorithm development, and computational biology applied to genomic data. • Experience with high-throughput bioinformatics workflows and cloud computing infrastructure (AWS preferred). • Proficiency in Python, R, and other scripting languages for bioinformatics applications. • Deep understanding of regulatory compliance (CLIA, CAP, IVDR, FDA) and clinical bioinformatics validation processes. • Demonstrated success in cross-functional collaboration, working with laboratory, clinical, and IT teams to integrate bioinformatics solutions. • Strong publication record in cancer genomics, bioinformatics, and translational research. • Experience with tumor-informed MRD testing and liquid biopsy technologies. • Familiarity with LIMS integration, data visualization, and AI-driven biomarker discovery. • Previous leadership in clinical bioinformatics teams, overseeing diagnostic assay development and validation. • Expertise in immune profiling, systems biology, and immunotherapy research. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

At Geneva, we are always on the search for top talent. While this role is not associated with a current opening, one may become available in the near future. Resumes are reviewed on an ongoing basis, and you could be contacted for this role or similar, at anytime. MRSB is a disease-agnostic program that utilizes high-throughput, multi-omics platforms supported by a suite of cutting edge, targeted assay tools and Artificial Intelligence (AI)-driven analytical capabilities to identify diagnostic and prognostic biomarkers that generate a knowledge base about biological mechanisms and personalized care. The MRSB is committed to developing a seamless, integrative module enabling to interrogate genome-to-phenome landscape to inform medical interventions and develop products to improve Warfighter health, performance, resilience, and readiness. Responsibilities • Computational Biology/Bioinformatics Research • Perform routine and specialized computational biology/bioinformatics research effort procedures within molecular and systems biology, and analytical techniques necessary to identify biomarkers from conditions/diseases of military relevance. • Process and analyze data, visualize the outcome, utilize high performance computing, and draw scientific conclusions for identifying multi-omics molecular underpinnings of the diseases and disorders of military service. • Perform research to identify biomarkers of military relevant diseases to be used in the development of evidence-based knowledge products (e.g., government reports, peer-reviewed publications), diagnostic panels, and medical interventions in Servicemembers. • Determine differential expression to include transcriptomic analysis of microarrays/next generation sequencing, single cell sequencing, epigenetic analysis including DNA methylation and miRNA analysis, high throughput proteomics and metabolomics, proteomics, exome sequencing, whole genome arrays. • Utilize tools such as R programming, Bioconductor, Ingenuity Pathway Analysis, CLC genomics workbench, Genespring or equivalent software. • Be involved in project specific assay design, data generation and /or data analysis. • Develop and maintain databases as specified in the proposals and protocols and use the DOD High Performance Computing (HPC) system for data storage analysis and data mining. • Perform statistical analysis for descriptive, diagnostic, predictive, and prescriptive data analysis. • Provide unsupervised analysis using tools, such as Principal Component Analysis (PCA) and/or Self Organization Map (SOM). • Apply random forest and logistic regression model to identify sets of predictive molecules, pathway enrichment analysis by mining Ingenuity Pathway Analysis (IPA), GO, KEGG, and MsigDB databases. • Perform unbiased assessment for the microbiome of the metagenome, non-metric multidimensional scaling (NMDS), uniform manifold approximation projection (UMAP), and t-distributed stochastic neighbor embedding (t-SNE). • Perform didactic instruction to laboratory members on statistical methods/techniques and analytical software. • Manage and execute scientific protocols for multi-omics studies including genomics, transcriptomics, epigenomics, proteomics, metabolomics, and single cell analysis. • Develop and manage protocols that require Institutional Review Boards (IRB) and Institutional Animal Care and Use Committee (IACUC) reviews. • Maintain an accurate account of assigned project's funding, progress against proposed outcomes and necessary updates or issues that would prevent project completion being reported to funding agencies. • Navigate and utilize grant submission portals, such as grants.gov. • Support timely, compliant, and accurate submissions of technical reports and/or project updates required by funding agencies to support and track science project execution. • Draft and submit funding proposals to support novel research efforts in funding topics relevant to MRSB. • Assist in preparing briefings, technical reports, and writing and figures for manuscript publication in professional/scientific journals. • Review and edit written communications, research protocols, research records, and presentations. • Assist in presentations of future, current or previous research efforts. Requirements • Minimum of a Bachelor's (or Master's degree preferred) in Behavioral Biology, Computational Biology, Bioinformatics, Analytics, or other related concentration. • Graduate level training and proficiency in: • Statistical analysis • Biomedical research • Quantitative analysis • Previous direct experience with the DOD High Performance Computing (HPC) system for data storage analysis and data mining. (Preferred) • Must have functional experience utilizing tools such as R programming, Bioconductor, Ingenuity Pathway Analysis, CLC genomics workbench, Genespring or equivalent software. • Must have knowledge about intra- and extramural partners of MRSB to include but not limited to: • The National Institutes of Health (NIH) • NASA • Various University Partners • Commercial and Non-Profit Entities. • Must have the knowledge, skills, and abilities in multiple relevant academic disciplines, including but not limited to: • Biomedical and mechanical engineering • Neuroscience • Psychology • Pharmacology • Biochemistry • Neuroanatomy • Areas of research experience to include but not limited to: • Kinetic and non-kinetic TBI • Injury biomechanics • Cellular biology • Biomarkers • Neuropathology • PTSD • Sleep rhythmicity • Combat stress • Psychological and physiological stress • Resilience Citizenship and Clearance Requirements • Must be a U.S. Citizen • Must hold a minimum Tier II/Secret DoD Clearance level The Geneva Foundation is an equal opportunity employer and prohibits discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

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