5,484 Bioinformatician jobs in the United States

Job Description

SierTeK proudly serves our clients by providing expertise in the Program Management, Information Technology, and Administrative Support domains. Founded in 2007 as a minority and service-disabled veteran-owned company, we serve as prime- and subcontractor for a multitude of Federal Department of Defense contracts. By focusing on continual improvement, our services remain at the forefront of our industry, and we pride ourselves on delivering our services with the highest degree of integrity.

SierTeK Ltd. is seeking a Bioinformatician to support an opportunity at Wright Patterson AFB, OH.

POSITION OVERVIEW SECTION

The employee will provide advanced bioinformatics support to USAFSAM by analyzing genomic sequencing data, developing and maintaining analytical pipelines, and contributing to research on respiratory pathogens and other infectious agents. This role includes supporting diagnostics development, sequence curation, and software pipeline management using modern computational tools and cloud environments.

Essential Job Functions

Genomic & Bioinformatics Analysis

• Conduct sequence analysis for respiratory and operationally significant pathogens.
• Implement, run, and maintain bioinformatics pipelines in Linux/Unix and cloud computing environments.
• Compile and curate sequencing data from public databases; submit and maintain datasets for public access.

Pipeline Development & Data Management

• Develop reproducible analytical workflows using version control (e.g., Git).
• Maintain code repositories, respond to enhancement requests, and annotate workflows to ensure reproducibility.
• Collect, assemble, and interpret large genomic datasets for surveillance and research efforts.

Innovation & Collaboration

• Support the development and evaluation of novel diagnostic tools for pathogen detection.
• Participate in publishing findings and collaborating with programmers, analysts, and end users.
• Stay current with emerging molecular and sequencing techniques.

Data Governance & Compliance

• Conduct data archiving and ensure data integrity throughout the collection and analysis process.
• Ensure compliance with federal regulations, including the Privacy Act of 1974 and HIPAA, for confidentiality of health records.
• Complete ad hoc data tasks as assigned by USAFSAM leadership.

Qualifications

Minimum Position Requirements

Education :

• Master's degree in Biological Sciences, Public Health, Biocomputing, or a related field.

Technical Competencies :

• Proficiency in scripting, programming, and data analysis (e.g., Linux/Unix, Python, Perl, R/RStudio, Tableau, Excel).
• Expert-level understanding of bioinformatics software for sequence assembly, gene expression analysis, and data visualization.
• Experience with workflow languages and containerization tools (e.g., Nextflow, Snakemake, Docker, Conda).
• Familiarity with network/server administration to support secure data storage and flow.

Data Management Skills :

• Experience with data dictionaries, collection tools, and defining minimum data elements.
• Ability to consult with programmers and end-users regarding data requirements and interpretation.

Compliance Requirement :

• Must have a Non-Disclosure Agreement (NDA) in place, with documentation provided to the Program Manager.

SierTeK is an equal opportunity employer. Employment is decided based on qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, gender identity and sexual orientation.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, and training.

If you need assistance or accommodation due to a disability, you may contact us at 1+ .

• Analyze and interpret large-scale genomic and transcriptomic datasets (e.g., WGS, WES, RNA-Seq).
• Develop and optimize bioinformatics pipelines and workflows.
• Write efficient and robust code (e.g., Python, R, Perl) for data analysis and visualization.
• Implement and utilize statistical methods for biological data analysis.
• Collaborate with research scientists to define project needs and deliver solutions.
• Contribute to the development of new research hypotheses based on data analysis.
• Stay current with the latest advancements in bioinformatics and computational biology.
• Mentor junior bioinformaticians and provide technical guidance.
• Prepare reports, presentations, and contribute to publications.

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
• 5+ years of relevant experience in bioinformatics research.
• Expertise in analyzing next-generation sequencing data.
• Proficiency in programming languages such as Python, R, and/or Perl.
• Strong understanding of statistical principles and their application in biology.
• Experience with bioinformatic databases and tools (e.g., BLAST, DAVID, KEGG).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Experience with cloud computing platforms (AWS, GCP) is a plus.

• Design, develop, and implement robust bioinformatics pipelines for analyzing high-throughput sequencing data (e.g., WGS, WES, RNA-Seq, ChIP-Seq).
• Perform statistical analysis and interpretation of large biological datasets, including genomics, transcriptomics, and proteomics.
• Develop and apply machine learning algorithms for biological data analysis and pattern recognition.
• Collaborate with experimental biologists and clinicians to define research questions and analytical strategies.
• Interpret results, generate reports, and present findings to research teams and at scientific conferences.
• Contribute to the development of novel algorithms and computational methods for biological data analysis.
• Maintain and manage bioinformatics databases and software infrastructure.
• Mentor junior bioinformaticians and research staff in computational biology techniques.
• Ensure data integrity, quality control, and reproducible research practices.

• Ph.D. or equivalent in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
• Minimum of 5 years of post-doctoral or industry experience in bioinformatics or computational biology.
• Strong programming skills in Python, R, Perl, or similar scripting languages.
• Proficiency with bioinformatics tools and databases (e.g., BLAST, Ensembl, UCSC Genome Browser, DAVID).
• Hands-on experience with next-generation sequencing (NGS) data analysis platforms and workflows (e.g., BWA, GATK, STAR, DESeq2).
• Solid understanding of statistical methods and machine learning techniques applied to biological data.
• Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a research environment.
• Strong written and verbal communication skills for scientific dissemination.
• Demonstrated experience in publishing research findings in peer-reviewed journals.

• Develop and implement bioinformatics pipelines for processing and analyzing high-throughput sequencing data (e.g., WGS, WES, RNA-Seq).
• Apply statistical methods and machine learning techniques to identify significant biological findings and generate hypotheses.
• Collaborate with biologists and researchers to define research questions and design experiments.
• Manage and maintain biological databases and computational resources.
• Visualize and communicate complex data insights effectively to both technical and non-technical audiences.
• Contribute to the development of novel algorithms and software tools for bioinformatics analysis.
• Ensure data integrity and reproducibility of analyses.
• Stay up-to-date with the latest advancements in bioinformatics tools, techniques, and biological knowledge.
• Mentor junior bioinformaticians and contribute to team knowledge sharing.

• Ph.D. or Master's degree in Bioinformatics, Computer Science, Biology, or a related quantitative field.
• Minimum of 4 years of experience in bioinformatics analysis, with a strong focus on genomics or transcriptomics.
• Proficiency in programming languages such as Python, R, and/or Perl.
• Experience with common bioinformatics tools and databases (e.g., SAMtools, BEDTools, UCSC Genome Browser, Ensembl).
• Familiarity with Unix/Linux environments and shell scripting.
• Knowledge of statistical concepts and machine learning algorithms relevant to biological data analysis.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills, with experience working in remote teams.
• Publications in peer-reviewed journals demonstrating research contributions are a plus.

• Design and implement bioinformatics pipelines for next-generation sequencing (NGS) data analysis (e.g., WGS, WES, RNA-Seq).
• Develop and apply statistical methods and machine learning algorithms for biological data interpretation.
• Collaborate with biologists, geneticists, and clinicians to define research questions and analytical strategies.
• Manage, process, and analyze large-scale biological datasets, ensuring data integrity and reproducibility.
• Develop custom scripts and tools using programming languages such as Python, R, and Perl.
• Visualize complex biological data to effectively communicate findings to diverse audiences.
• Contribute to the design of experiments and the interpretation of results.
• Stay abreast of the latest advancements in bioinformatics, genomics, and computational biology.
• Document analytical methods, workflows, and findings thoroughly.
• Mentor junior bioinformaticians and research assistants.