Collaborate with scientists to design, analyze,manageand interpret all types of data.

Conduct analyses on NextGen sequencing data including data derived inChIP-Seq,RNA-Seq, miRNA-Seq and other experimental models.

Work with an interdisciplinary team to apply computational data analysis approaches to make biological discoveries.

Conduct analysis and interpretationondata from genomic platforms including expression, exon, tiling,promoterandothersarray types.

Work independently with research groups to develop, implement, and refine analyticalpipelinefor single cell data analysis.

Develop,optimize, andmaintainbioinformatics pipelines, scripts, and computational tools for large-scale data analysis (e.g., NGS,scRNA-seq, multi-omics).

Perform advanced statistical and computational analyses to interpret complex datasets and derive actionable biological insights.

Collaborate with scientists and researchers to design experiments, selectappropriate analyticalapproaches, and troubleshoot methodologies.

Integrate and analyze diverse genomic and multi-omicdatasets, including sequencing and public data sources.

Install, configure, and support scientific software across computing platforms; ensure reproducibility through standardized workflows and documentation.

Generate reports, visualizations, and presentations to communicate findings to scientific and technical audiences.

Evaluate and implement new bioinformatics tools, statistical methods, and computational approaches based on current literature and research needs.

Provide training and technical guidance to staff on bioinformatics tools, pipelines, and data analysis techniques.

Maintain detailed documentation, laboratory records, and progress reports; present findings at meetings and contribute to publications.

Support interdisciplinary collaborations and contribute to advancing researchobjectivesaligned with organizationalmission.

Must be able to obtain and maintain a Federal or DoD 7public trust8; candidates must receive approved adjudication prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred.

Masters degree in bioinformatics,biostatistics,computationalbiologyor biological/life science.

At leastTWO (2)years ofdata analysisexperience.

Advancedproficiencyindisciplines such asstatistical modeling, machine learning, and integrative analysis to extract biologically meaningfulinsights from complex cellular systems.

Knowledgeable with avariety of next gen sequencing techniques.

Experience working withanalyticaltools,softwareand platforms such as, but not limited to, R, Python, MATLAB, SAS, PERL, Java, Shell, Bash, Seurat /Scanpy,Linux,Unix,Bioconductor,Cloud computing,High-PerformanceComputing (HPC).

Must be able to obtain and maintain a Federal or DoD "public trust"; candidates must obtain approved adjudication of their public trust prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred

PhD preferred

Strong verbal and writtencommunication skills

Familiar with multiplenext gen sequencingtechniques

Ability to collaborate closely with investigators and multidisciplinary teams to design analytical strategies, ensure data quality, interpret results, and translate findings into actionable scientific conclusions.