Senior Bioinformatics Scientist Veritas Management Group, Inc. - 3.0 Research Triangle Park, NC Job Details Full-time 13 hours ago Qualifications MATLAB Computational research Data Integration (Data management) Biostatistics-based research

R UNIX DNA

sequencing Java Algorithms Doctor of Philosophy Perl Software development Bioinformatics data analysis Shell Scripting Data analysis software Biostatistical modeling

Full Job Description Position Title:

Senior Bioinformatics Scientist, Full-Time (2 Positions)

Contract Duration:

9-month base period with renewable option periods

Location:

Research Triangle Park, North Carolina Department:

Veritas Management Group/NIH SOAR Summary Veritas Management Group (VMG) is a leading management consulting firm offering solutions to complex challenges involving public health, technology, and military domains. We serve government and commercial sector organizations, academic institutions, and non-profit organizations, domestically and globally. We are committed to transforming public health through equitable, data-driven solutions. VMG is seeking two (2) Senior Bioinformatics Scientists to support the National Institute of Environmental Health Sciences (NIEHS). This position provides advanced bioinformatics, computational biology, and statistical analysis support to accelerate biomedical and environmental health research. The Senior Bioinformatics Scientist will independently develop computational workflows, analyze complex genomic and population-based datasets, collaborate with multidisciplinary scientific teams, and provide technical leadership in the analysis and interpretation of next-generation sequencing and multi-omics data supporting NIEHS research initiatives. Key Responsibilities Independently provide advanced bioinformatics and computational biology support for NIEHS research programs. Analyze and interpret large-scale genomic, epidemiologic, and population-based datasets to support biological discovery. Perform next-generation sequencing (NGS) analyses, including RNA-Seq, ChIP-Seq, miRNA-Seq, Genome-Wide Association Studies (GWAS), microarray, microbiome, and multi-omics analyses. Develop, optimize, and maintain computational workflows, pipelines, algorithms, scripts, and custom software applications supporting genomic research. Conduct quality control, validation, statistical analyses, and interpretation of genomic and population genomics datasets. Collaborate with biologists, statisticians, epidemiologists, and computational scientists to develop analytical models and interpret experimental findings. Support experimental design by developing computational approaches for data integration, genome analysis, and meta-genomic studies. Prepare publication-quality figures, graphics, technical reports, scientific documentation, and written descriptions of analytical methods. Present research findings during laboratory meetings, scientific conferences, and professional presentations. Train researchers and laboratory staff in bioinformatics software, statistical applications, computational tools, and analytical best practices. Develop training materials, tutorials, and educational resources supporting bioinformatics methodologies. Support high-performance computing environments and evaluate commercial and open-source bioinformatics software to improve research capabilities. Participate in interdisciplinary collaborations that advance NIEHS scientific research and program objectives. Required Qualifications Ph.D. in Bioinformatics, Biostatistics, Computational Biology, Biological Sciences, or a related scientific discipline. Minimum of nine (9) years of professional experience in bioinformatics, computational biology, genomic research, or a related field. Demonstrated expertise in next-generation sequencing (NGS) analysis, including RNA-Seq, ChIP-Seq, miRNA-Seq, GWAS, microarray analysis, microbiome analysis, phylogenetic analysis, and multi-omics integration. Experience analyzing large-scale genomic and population-based datasets. Experience developing computational pipelines, custom algorithms, and scientific software applications. Proficiency with R, Python, MATLAB, Perl, Shell scripting, Unix/Linux, and Java . Strong analytical, scientific writing, and problem-solving skills. Excellent written, verbal, and presentation communication skills. Ability to work independently while collaborating effectively with multidisciplinary scientific teams. Preferred Qualifications Experience supporting NIH, NIEHS, or other federally funded biomedical research programs. Experience with high-performance computing (HPC) environments and cloud-based computational resources. Experience integrating genomic, transcriptomic, metagenomic, and epidemiologic datasets. Experience developing reproducible bioinformatics workflows and automated analytical pipelines. Record of peer-reviewed scientific publications and presentations at national or international scientific conferences. Experience mentoring scientists, trainees, or research staff in bioinformatics methodologies. Work Environment Full-time position (40 hours per week). Monday through Friday schedule. Position is located at the National Institute of Environmental Health Sciences (NIEHS) in Research Triangle Park, North Carolina . Telework is available in accordance with government approval. Professional scientific research environment supporting advanced computational biology, genomics, and environmental health research. Position requires close collaboration with multidisciplinary investigators, statisticians, computational biologists, and laboratory scientists while supporting complex genomic research initiatives.