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More Bioinformatics Jobs

Data Scientist, Computational Genomics

United States
2025/01/04.

About Ancestry: When you join Ancestry, you join a human-centered company where every person’s story is important. Ancestry®, the global leader in family history, empowers journeys of personal discovery to enrich lives. With our unparalleled collection of more than 40 billion records, over 3 million subscribers and over 23 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving and sharing the most important information about themselves and their families. We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity. Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve. Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious. AncestryDNA is seeking a motivated and talented Data Scientist, Computational Genomics to join our Bioinformatics organization. You will be an individual contributor responsible for developing and implementing advanced machine learning models to analyze complex biological data. Your work will directly impact our understanding of genetic variation and its implications that will enrich our customers’ lives. What you’ll do: • Design, develop, and implement machine learning algorithms to analyze large-scale genomic datasets. • Collaborate with population geneticists, data scientists and engineers to identify and solve complex problems in computational biology. • Perform data manipulation, analysis, and modeling using Python. • Develop and deploy machine learning models using AWS SageMaker. • Design and implement ETL processes using AWS Glue. • Utilize AWS Athena for querying and analyzing data stored in Amazon S3. • Stream real-time data with AWS Kinesis Data Firehose. • Process and analyze large datasets using Amazon EMR. • Analyze and interpret biological data, focusing on DNA sequence data to uncover patterns and insights. • Stay current with the latest research and advancements in computational biology, machine learning, and genomics. • Communicate findings through reports, presentations, and publications. Who you are: • Advanced degree (Ph.D. preferred) in Computational Biology, Bioinformatics, Genetics, Computer Science, Machine Learning or a related field. • Extensive experience with machine learning techniques and data analysis in a biological context. • Advanced programming skills in Python and proficiency with Linux Bash; familiarity with C is a plus. • Strong foundations in AWS including SageMaker, Glue, Athena, Kinesis Data Firehouse and EMR • Deep understanding of genetics, genomics, and DNA sequence analysis. • Familiarity with bioinformatics tools and databases. • Knowledge of statistical methods and their application to biological data. • Strong communication skills and the ability to present complex data to a diverse audience. • Excellent problem-solving skills and the ability to work independently and collaboratively in a multidisciplinary team. Helping people discover their story is at the heart of ours. Ancestry is the largest provider of family history and personal DNA testing, harnessing a powerful combination of information, science and technology to help people discover their family history and stories that were never possible before. Ancestry’s suite of products includes: AncestryDNA, AncestryProGenealogists, Fold3, Newspapers.com, Find a Grave, Archives.com, and Rootsweb. We offer excellent benefits and a competitive compensation package. For additional information, regarding our benefits and career information, please visit our website at http://ancestry.com/careers As a signatory of the ParityPledge in Support of Women and the ParityPledge in Support of People of Color, Ancestry values pay transparency and pay equity. We are pleased to share the base salary range for this position: $114,210 - $130,590 with eligibility for bonus, equity and comprehensive benefits including health, dental and vision. The actual salary will vary by geographic region and job experience. We will share detailed compensation data for a specific location during the recruiting process. Read more about our benefits HERE. • Note: Disclosure as required by sb19-085(8-5-20) and sb1162(1-1-23) Additional Information: Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities. All job offers are contingent on a background check screen that complies with applicable law. For San Francisco office candidates, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records. Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.

Bioinformatics Scientist

Bethesda, MD
2025/01/04.

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.

Senior Bioinformatics Scientist - Surgical Critical Care Initiative

Bethesda, MD
2025/01/04.

Join the HJF Team! 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. HJF is seeking a Senior Bioinformatics Scientist to contribute to the advancement of Bioinformatics, particularly in the areas of Genomics and Metagenomics. In addition, designs, develops, and guides the implementation of software solutions that aid in the visualization and analysis of Next-generation Sequencing data (NGS). Develops solutions to large scale problems as well as customized algorithms and mathematical models to problems in Genomics, Genetics, Metagenomics and NGS. This position will be in support of the Surgical Critical Care Initiative (SC2i). The Surgical Critical Care Initiative (SC2i) (https://sc2i.usuhs.edu), funded by the Department of Defense was established in 2013. SC2i is a Uniformed Services University center that leverages legacy information from service members, and critically ill civilian and military patients to develop biomarker-driven clinical decision support tools (CDSTs) with the goal of improving patient clinical outcomes and reducing costs across the injury/disease cycle. This position offers some telework capabilities with required in office days each week. Responsibilities: • Applies for grant support to novel lines of research in Bioinformatics. • Creates new algorithms and mathematical models to solve problems in Genomics and NGS. • Develops and guides the implementation of specialized software to solve Biological problems and support infrastructure development. • Develops and guides the implementation of customized pipelines to solve recurrently appearing problems in Genomics and NGS. • Trains and supervises junior scientists, Bioinformatics analysts and students providing collaborative assistance in various computing modalities toinclude but not limited to cloud experience. • Cooperates with other groups in finding Statistical and Bioinformatics solutions to problems that may improve their research flow. • Prepares funding documents, written reports, manuscripts for submission to scientific journals, and patent applications. • 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. Required Knowledge, Skills and Abilities: • Strong background in Computer Science, Statistics, Genomics, Genetics, RDBMS, Cloud Computing, Google APIs, Bioinformatics and Computational Biology required. • Programming skills in languages such as C++ or/and JAVA , and experience programming in PERL or PYTHON. • Expert level programming in statistical software such as SQL and R preferred. • RDBMS preferred. • YAML languages such as Helm, Terraform or Ansible preferred. • Cloud experience required, certifications preferred. Physical Capabilities: • Ability to stand or sit at a computer for prolonged periods. Work Environment: • This position will take place primarily in an office setting. Education and Experience: • Masters or a Doctoral Degree. • Minimum of 6-8 years experience required. Some positions or sites may require that the incumbent be fully vaccinated against COVID-19. Proof of vaccination may be required. 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.

Bioinformatics Scientist – NIH – Bethesda, MD

Bethesda, MD
2025/01/04.

Kelly Government Solutions is a strategic supplier and business partner to the federal government and its key suppliers. Through our partnership with the National Institutes of Health, Kelly Government Solutions offers administrative, IT, engineering, scientific, and healthcare professionals the opportunity to work with one of the most prestigious research organizations in the world. We are currently seeking a Bioinformatics Scientist with the National Institutes of Health in Bethesda, MD This is a long-term contract position which offers: • Competitive compensation and comprehensive benefit package • Optional health, vision, and dental plans • Paid leave (min 120 hours; prorated for part-time position) as well as 11 paid federal holidays and 401K plan. • Access to NIH’s unparalleled resources and niche scientific initiatives. • Learn more about what Kelly can do for you at https://government.kellyservices.us/ TASKS. The contractor shall: • Utilize computer simulation expertise such as molecular dynamic and monte-carlo simulations to solve protein structures’ dynamics and mechanism of protein-protein interaction. • Develop and apply in silico tools to design vaccine and therapeutic products against diverse pathogens, including HIV-1, Influenza, or Malaria. • Develop methods to study vaccine-elicited immune responses, including antibodies’ sequence and structural analysis. • Develop and apply custom-made AI/ML tools to analyze vaccine outcomes. • Serve as expert to identify critical/biological findings of experimental data and collaborate with other scientists. • Utilize High performance computing (HPC) to bring the state-of-the-art techniques such as machine learning, artificial intelligence, deep learning to vaccine target protein design. • Co-lead on projects, including (but not limited to) HIV-1 Malaria, Influenza and Lassa) and coordinate with scientists from other organizations or institutions involved in similar or related research projects. • Provide scientific expertise to facilitate protein and vaccine design. • Mentor interns and post-baccalaureate scientists. • Publish the findings and analysis in peer-reviewed journals. REQUIREMENTS. The contractor must have: • PhD in Computational Biology/Chemistry or a related field and 2-3 years of postdoctoral experience. PLEASE APPLY ONLINE When you apply, please know a Kelly Government Solutions Recruiter will review your resume and will contact you directly, if your skills and experience match the requirements of this position; a full job description can be made available at that time. Due to the high volume of inquiries, we regret that we cannot accept phone calls. Even if you aren’t contacted for this position, you are still part of our talent network. All Kelly recruiters have access to your profile, which expands your opportunities even further. As part of our promise to talent, Kelly supports those who work with us through a variety of benefits, perks, and work-related resources. Kelly offers eligible employees voluntary benefit plans including medical, dental, vision, telemedicine, term life, whole life, accident insurance, critical illness, short-term disability, and a transportation spending account. Visit https://www.mykelly.us/us-mykelly/perks/ for more information on benefits and perks that may be available to you as a member of the Kelly Talent Community. #government 9665424

Bioinformatics Research Fellowship in Microbial Genetics at WRAIR

Silver Spring, MD
2025/01/04.

The Walter Reed Army Institute of Research (WRAIR) is offering a post-Bachelor's fellowship in the Multidrug-Resistant Organism Repository and Surveillance Network (MRSN) Branch. The Multidrug-Resistant Organism Repository and Surveillance Network (MRSN) is a unique entity that serves as the primary surveillance organization for antibiotic-resistant bacteria across the Military Healthcare System (MHS) . The laboratory receives and processes (routine ID, Antibiotic Susceptibility Testing and Whole Genome Sequencing) ~1,000 new isolates of ESKAPE+ pathogens every month from military hospitals across the world, and routinely collaborates with other U.S. Government agencies, allied nations, and academic research institutions. What will I be doing? As an ORISE participant, you will join a community of scientists and researchers to perform comparative genomic analysis of hundreds of epidemiology-linked isolates (ongoing outbreaks in military hospitals) of MDR Enterococcus spp. Staphylococcus spp., Klebsiella spp., Acinetobacter spp., Pseudomonas spp., Enterobacter spp., and Escherichia coli. A variety of bioinformatic tools and software will be utilized to analyze bacterial genomes for the purpose of outbreak investigations and local, national, and international bacterial epidemiology. Within this research, you will have the chance to develop new and innovative methods for analyzing bacterial genomes and will have the opportunity to make significant contributions to this emerging field while conducting research in one of the most comprehensive sequencing laboratories in the USA. Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to complement your education and support your academic and professional goals. Along the way, you will engage in activities and research in several areas. These include, but are not limited to: • Gaining hands-on knowledge of working with both short-read and long-read DNA sequences using the Illumina Miseq and Nextseq systems and the Oxford Nanopore MinIon platform. • Conducting analyses using the most state-of-the-art software and bioinformatics tools and developing hands-on programming experience using Linux, Python, R. • Establishing a fundamental understanding of translational, military-relevant scientific research. • Expanding your network of scientific colleagues and seeking collaborations within the U.S. Department of Defense, academia, and commercial companies. Where will I be located? Silver Spring, Maryland What is the anticipated start date? The Walter Reed Army Institute of Research is ready to make appointments immediately. Exact start dates will be determined at the time of selection and in coordination with the selected candidate. Applications are reviewed on an ongoing basis and internships or fellowships will be filled as qualified candidates are identified. What is the appointment length? This appointment is a twelve month research appointment, with the possibility to be renewed for additional research periods. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant. What are the benefits? You will receive a stipend to be determined by Walter Reed Army Institute of Research. Stipends are typically based on a participant’s academic standing, discipline, experience, and research facility location. Other benefits may include the following: • Health Insurance Supplement (Participants are eligible to purchase health insurance through ORISE) • Relocation Allowance • Training and Travel Allowance About WRAIR The Walter Reed Army Institute of Research (WRAIR) aims to conduct biomedical research that is responsive to U.S. Department of Defense and U.S. Army requirements. WRAIR conducts basic science, applied science, and animal and human subjects research to deliver lifesaving products including knowledge, technology and medical material that sustain the combat effectiveness of the Warfighter. Areas of focus include tropical infectious diseases and HIV, medical care on the battlefield and post-traumatic stress disorders. For more information about the WRAIR, please visit www.wrair.army.mil. About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and DoD. Participants do not enter into an employee/employer relationship with ORISE, ORAU, DoD or any other office or agency. Instead, you will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE. For more information, visit the ORISE Research Participation Program at the U.S. Department of Defense.

FDA Oncology Bioinformatics Fellowship

Silver Spring, MD
2025/01/04.

• Applications will be reviewed on a rolling-basis. CDER Office/Lab and Location: A bioinformatics research opportunity is currently available with the Office of New Drugs/Office of Hematology and Oncology Products, Center for Drug Evaluation and Research (CDER), Food and Drug Administration (FDA) located in Silver Spring, Maryland. Research Project: This project is a collaborative effort between multiple CDER offices and will provide critical information to FDA/CDER regarding the practical application of Next Generation Sequencing (NGS) from tissue acquisition to patient outcome. Through multiple collaborations (including with Johns Hopkins University and the National Cancer Institute), we will assess the use of NGS technology to answer critical research questions in cancer such as drug-induced adverse events and patient-specific indicators of disease or outcome. The main objective of this program is to assess critical parameters involved in the adoption of NGS technology for cancer care. These parameters include, but are not limited to, tissue processing, laboratory protocols, bioinformatics and variant calling, data processing and related statistical analyses. Under the guidance of a mentor, the participant will be involved in the following: • analyzing various bioinformatics approaches to understand best-in-practice NGS analytics and novel methodologies • examining current SOPs and protocols and emerging tools to understand best-in-practice approaches for NGS analysis and downstream bioinformatics • collaborating with a multi-disciplinary team including clinicians, sequencing biologists, programmers, and regulators, and engaging with multiple investigators for individual projects This project is critical to our public health mission and will prepare the participant for a successful career transition into regulatory science research. 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 one year, 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.

Bioinformatics Research in Prokaryotic Genetics

Silver Spring, MD
2025/01/04.

The Walter Reed Army Institute of Research (WRAIR) aims to conduct biomedical research that is responsive to U.S. Department of Defense and U.S. Army requirements and delivers lifesaving products including knowledge, technology and medical material that sustain the combat effectiveness of the Warfighter. For more information about WRAIR, please visit: https://www.wrair.army.mil/ The successful candidate will employ a variety of bioinformatic tools and software to analyze bacterial genomes for the purpose of outbreak investigations and local, national, and international bacterial epidemiology. The successful candidate will collaborate extensively with internal and external researchers on the molecular genetics of antibiotic resistant bacteria. In particular, the successful candidate will analyze and research the global dissemination of antibiotic resistant bacteria and participate in real-time surveillance for these organisms throughout the military healthcare system. The participant in this program will gain extensive educational experience that will greatly enhance his/her career opportunities. In particular, the participant will gain hands-on knowledge of working with both short-read and long-read DNA sequences using the Illumina Miseq and Nextseq systems and the PacBio RSII and MinIon platforms. This combination of short-read and long-read sequence experience is extremely difficult to find. Furthermore, the participant will be conducting analyses using the most state-of-the-art software and bioinformatics tools, such as Geneious, and will also develop hands-on experience using Linux. Under the mentorship of WRAIR staff, the selected candidate will help establish fundamental understanding of translational, military-relevant scientific research. The selected candidate will be highly encouraged to begin expanding their network of scientific colleagues and seek collaborations within the U.S. Department of Defense, academia, and commercial companies. Furthermore, the participant will be challenged to develop new and innovative methods for analyzing bacterial DNA, and will have the opportunity to make significant contributions to this emerging field while conducting research in one of the most comprehensive sequencing laboratories in the USA. Appointment Length An ORISE appointment period can be a short-term (less than 2 weeks), summer (10-12 weeks), or yearlong appointment. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant. Participant Benefits Participants will receive a stipend to be determined by WRAIR. Stipends are typically based on the participant’s academic standing, discipline, experience, and research facility location. Other benefits may include the following: • Health Insurance Supplement. Participants are eligible to purchase health insurance through ORISE. • Relocation Allowance • Training and Travel Allowance Nature of Appointment The participant will not enter into an employee/employer relationship with ORISE, ORAU, DOD, or any other office or agency. Instead, the participant will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment.

CBER Bioinformatics Reviewer – Cell and Gene Therapies

Silver Spring, MD
2025/01/04.

Office of Cellular Therapy and Human Tissue (OCTHT) Center for Biologics Evaluation and Research (CBER) Food And Drug Administration (FDA) Department of Health and Human Services (HHS) Become a part of an agency that touches the lives of every American! The FDA’s Center for Biologics Evaluation and Research (CBER), Office of Cellular Therapy and Human Tissue (OCTHT) is recruiting Bioinformatics Review Scientists as Staff Fellows. OCTHT is strongly committed to bringing scientists, patient advocates, and the public together in partnership to develop novel advanced therapies for the 21st Century, while protecting human subjects and ensuring product safety and quality. OCTHT oversees the development and regulation of a wide variety of cutting-edge biological products including cell therapy products, tissue-engineered products, gene therapy products, and medical devices used in the production of these products. Review Scientists are an integral part of OCTHT’s fast paced regulatory science review and oversight program. Successful candidates will work with a team of dynamic multi-disciplinary scientists and clinicians and apply bioinformatics expertise to perform assessments of scientific and regulatory information of cell and gene therapy products including genome editing products submitted to CBER. The candidates may also have opportunities to contribute to the development of FDA’s regulatory policy and guidance on bioinformatics in emerging therapeutic areas such as genome editing products, next-generation sequencing (NGS)-based precision medicine, and individualized cancer vaccines. RESPONSIBILITIES: The selected candidate will be responsible for: • Evaluating NGS and bioinformatics analysis data relevant to the safety of genome editing products particularly regarding off-target effects and genomic modifications • Evaluating NGS and other genomics and bioinformatics datasets and pipelines relevant to the development of advanced individualized precision medicine products • Assessing and ensuring data suitability for regulatory purposes, identifying critical components in the data, and determining acceptable data quality attributes and thresholds • Performing independent data analyses using internally developed bioinformatics tools as well as open source and third-party genomics software and prediction algorithms • Reviewing experimental design, data acquisition methods, and interpreting results • Developing and implementing bioinformatics data standards and data quality assessment programs for scientific and regulatory reviews performed in CBER • Communicating results and interpretation to a diverse audience, including FDA scientists, collaborators, and external stakeholders BASIC QUALIFICATIONS: This position is multidisciplinary, and applicants will be required to meet the specific qualification requirements of one of the applicable occupational series: General Natural Resources Management and Biological Sciences (RG-0401), Microbiology (RG-0403), Computer Science, RG-1550, Statistics (RG-1530). ADDITIONAL QUALIFICATIONS: Ph.D. degree in Bioinformatics, Computational Biology, Genetics, Computer Science, Genomics, Biology, Statistics, or a related field is required, and a strong publication record is preferable. Candidate must have strong collaborative skills, excellent written and oral communication skills, and show clear evidence of leadership potential. Additionally, candidates who have a good general understanding of cell biology, molecular biology, and human genetics are preferred. Knowledge of federal regulations applicable to biological products and drugs is helpful but not required for consideration. Research and development (R&D) experience in genome editing- or NGS-based therapeutics is a plus; but, this not an R&D position. PREFERRED SPECIALIZED EXPERIENCE: • Developing tools and/or implementing bioinformatics pipelines to analyze NGS-based assays for cell and gene therapies and genome editing Using bioinformatics tools for identifying off-target nomination sites (e.g., GUIDE-Seq, Digenome-Seq, SITE-Seq, CIRCLE-Seq, CHANGE-Seq, PEM-Seq, DISCOVER-Seq) Using bioinformatics tools and complex analytical pipelines including diverse sequencing primary analysis tools (e.g., samtools, bedtools, GATK, BWA, Bowtie, IGV), secondary analysis tools (e.g., muTect, VarScan, VarDict), and statistical or machine learning algorithms (e.g., DESeq2, clustering, t-SNE) • Using bioinformatics tools or pipelines for identifying and predicting neoantigens and their immunogenicity for individual cancer patients using NGS technology Using publicly available data sources (e.g., TCGA, ENCODE, 1000 Genomes, COSMIC, dbSNP, ESP, gnomAD) and diverse genomic annotations Working in the JupyterLab environment Developing and running Python code and/or R code Working in the Linux environment • Working in the JupyterLab environment Developing and running Python code and/or R code Working in the Linux environment FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit the U.S. Department of Education website for Foreign Education Evaluation. SALARY: Salary is commensurate with education and experience. LOCATION: Silver Spring, MD CONDITIONS OF EMPLOYMENT: This position will be filled through the Service Fellowship program. The appointment provides up to (4) years with opportunities for renewal. Applications will ONLY be accepted from U.S. citizens and/or permanent residents (green card). No previous Federal experience is required. Appointment does not confer any entitlement to a position in the competitive service, and there is no entitlement to Merit Systems Protection Board (MSPB) appeals rights. • One-year probationary period may be required. Official Transcripts required Background and/or Security investigation required. If applicant is an U.S. Citizen, males born on, or after, December 31st, 1959 must be registered with the Selective Service System or have an approved exemption. Visit www.SSS.gov for more info. Prohibited financial interest restrictions may apply. For additional information on the prohibited financial interests, please visit the FDA Ethics and Integrity Office website at FDA Ethics and Integrity Office. The COVID-19 vaccination requirement for federal employees pursuant to Executive Order 14043, does not currently apply. Non-US and permanent residents are required to have resided in the United States for a minimum of three of the last five years. HOW TO APPLY: Submit electronic resume or curriculum vitae with a cover letter containing a brief summary of career interest and scientific accomplishments, a statement of how your education and experience would be applicable to this position, and the names/contact information of three references to Rebecca Escobar at Rebecca.Escobar@fda.hhs.gov. Applications and all supporting documentation will be accepted through January 10, 2025. Please reference Job Code: OTP-25-01-FDA ADDITIONAL INFORMATION: For additional information on CBER Careers, please visit: • CBER Careers • Scientific Careers at the FDA HHS/FDA is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status DEPARTMENT OF HEALTH AND HUMAN SERVICES IS AN EQUAL OPPORTUNITY EMPLOYER WITH A SMOKE FREE ENVIRONMENT

LIMS Bioinformatics Engineer, Associate (Remote)

Baltimore, MD
2025/01/04.

Haystack Oncology at Quest Diagnostics is seeking to grow its laboratory informatics team as we expand our assay portfolio and introduce cutting edge diagnostic technology to the public. As a Bioinformatics Engineer - LIMS, you will be responsible for developing, configuring, maintaining, and optimizing key functionality within our cloud-based enterprise Laboratory Information Management System (LIMS) that manages the generation, analysis, quality control, and interpretation of clinical data produced by diagnostic NGS assays. The ideal candidate will possess technical development experience within a LIMS platform, a rounded understanding of clinical laboratory processes and FDA regulations, strong analytical and problem-solving skills and a collaborative and continuous improvement mindset. This is a salaried position and weekend work may be required to satisfy project timelines and to support end-users. This position can work 100% remote and may require up to 10% travel as needed. Professional must be located in the US and is expected to be available during normal business hours in the Eastern and Central US time zones in order to provide support for laboratory sites in these regions. • Work extensively within our cloud-based StarLIMS system to develop and configure frontend and backend solutions that further automate our scientific and technical processes. • Develop new or modify existing code using StarLIMS scripting languages, HTML5, Jscript, .NET libraries, and Python following industry best practices. • Develop scientific reports using SQL, Crystal Reports, and StarLIMS QBE. • Gather and analyze requirements provided by cross functional stakeholders and translate into functional requirements that allow for the development of technical solutions. • Manage workload in Jira and provide timely and accurate status updates on project-based issue tickets that are either assigned or self-assigned. • Document system configurations, procedures, and any changes for reference and compliance purposes. • Both individually and as a part of a team, troubleshoot, debug, and test technical solutions • Provide ongoing support and training to laboratory staff and stakeholders on LIMS usage and best practices. • Respectfully and clearly communicate in English both textually and verbally with stakeholders. • Other duties, as assigned, that will contribute to the success of our company and the data systems we deploy. • Bachelors' or greater degree in Bioinformatics, Computer Science or other STEM-related disciplines. • Minimum 3 years of experience in the configuration and customization of an enterprise LIMS system is required. Experience with StarLIMS is preferred. • Minimum 3 years of experience in the development of custom code using scripting and/or programming languages. • Minimum 3 years of experience with relational databases and reporting tools, including Crystal Reports. • Experience with system integration techniques including REST APIs, web services, and middleware. • Strong understanding of laboratory workflows, data management, and compliance standards. • Experience with laboratory testing and scientific equipment. • Professional experience with a bug/issue tracking system. • Understanding of software design controls and SDLC. • Ability to work effectively with minimal direct supervision in a multiple discipline environment. • Ability to manage multiple tasks and assignments simultaneously. • Ability to adapt quickly to changing priorities in a fast-paced environment. • Excellent analytical, troubleshooting and problem-solving abilities. Proficient in diagnosing and providing solutions for bugs and issues. • Excellent communication and interpersonal skills, both verbal and written in English, with the ability to translate technical information for non-technical stakeholders. • Certificates in IT related topics are a plus. Education: Bachelor’s Degree(Required) Master’s Degree Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

Bioinformatics for Army Biotechnologies

Adelphi, MD
2025/01/04.

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.

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