Bioinformatics Jobs

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

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.

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

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

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.

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

• Applications will be reviewed on a rolling-basis, and this posting will remain open until filled. A research opportunity is currently available in the Office of Biostatistics and Epidemiology (OBE) at the Center for Biologics Evaluation and Research (CBER), Food and Drug Administration (FDA) in Silver Spring, Maryland. The participant will be working on the development of an analytical framework for the development of machine learning (ML) models to predict phenotypes based on genomic variation data. Our team is working on multiple bioinformatics project that range from viral mutational scans, where ML models can be applied to predict epitopes, to human cancer data where ML models can be applied to predict treatment outcomes. All ML models are based on genomic variation data. The candidate will be working on a framework we built that solves common challenges across these cases. The selected participant will use tools developed internally, as well as open source and third-party genomics software, to create ML models to analyze genomic and immunological data. Under the guidance of a mentor, the participant will be involved in the following activities: • Identify, import and quality check high throughput sequencing (HTS) datasets • Design, develop and maintain bioinformatics protocols and pipelines • Develop machine learning models and algorithms on genomics and immunological data • Analyze scientific data to validate ML models • Communicate scientific results and interpretation to a diverse audience, including senior FDA scientists, collaborators, and internal stakeholders Anticipated Appointment Start Date: February 2022; start date is flexible This program, administered by ORAU through its contract with the U.S. Department of Energy to manage the Oak Ridge Institute for Science and Education, was established through an interagency agreement between DOE and FDA. The initial appointment is for three months, but may be renewed upon recommendation of FDA contingent on the availability of funds. The participant will receive a monthly stipend commensurate with educational level and experience. Proof of health insurance is required for participation in this program. The appointment is full-time at FDA in the Silver Spring, Maryland, area. Participants do not become employees of FDA, DOE or the program administrator, and there are no employment-related benefits. Completion of a successful background investigation by the Office of Personnel Management is required for an applicant to be on-boarded at FDA. OPM can complete a background investigation only for individuals, including non-US Citizens, who have resided in the US for a total of three of the past five years. FDA requires ORISE participants to read and sign their FDA Education and Training Agreement within 30 days of his/her start date, setting forth the conditions and expectations for his/her educational appointment at the agency. This agreement covers such topics as the following: • Non-employee nature of the ORISE appointment; • Prohibition on ORISE Fellows performing inherently governmental functions; • Obligation of ORISE Fellows to convey all necessary rights to the FDA regarding intellectual property conceived or first reduced to practice during their fellowship; • The fact that research materials and laboratory notebooks are the property of the FDA; • ORISE fellow’s obligation to protect and not to further disclose or use non-public information.

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

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.