Bioinformatics Scientist

Guidehouse • Durham, NC

1d • Onsite

About The Position

We are currently searching for Bioinformatics Scientist to provide bioinformatics support to advance the institute research programs, with a primary focus on single cell and spatial omics data analysis. This is a full-time, on-site opportunity in Durham, NC. Collaborate with scientists to design, analyze, manage and interpret all types of data. Conduct analyses on NextGen sequencing data including data derived in ChIP-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 interpretation on data from genomic platforms including expression, exon, tiling, promoter and others array types. Work independently with research groups to develop, implement, and refine analytical pipeline for single cell data analysis. Develop, optimize, and maintain bioinformatics 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, select appropriate analytical approaches, and troubleshoot methodologies. Integrate and analyze diverse genomic and multi-omic datasets, 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 research objectives aligned with organizational mission. Must be able to obtain and maintain a Federal or DoD “public trust”; candidates must receive approved adjudication prior to onboarding with Guidehouse. Candidates with an active public trust or suitability are preferred.

Requirements

• Master’s degree in bioinformatics, biostatistics, computational biology or biological/life science.
• At least TWO (2) years of data analysis experience.
• Advanced proficiency in disciplines such as statistical modeling, machine learning, and integrative analysis to extract biologically meaningful insights from complex cellular systems.
• Knowledgeable with a variety of next gen sequencing techniques.
• Experience working with analytical tools, software and platforms such as, but not limited to, R, Python, MATLAB, SAS, PERL, Java, Shell, Bash, Seurat / Scanpy, Linux, Unix, Bioconductor, Cloud computing, High-Performance Computing (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.

Nice To Haves

• PhD preferred
• Strong verbal and written communication skills
• Familiar with multiple next gen sequencing techniques
• 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.
• Candidates with an active public trust or suitability are preferred.

Responsibilities

• Collaborate with scientists to design, analyze, manage and interpret all types of data.
• Conduct analyses on NextGen sequencing data including data derived in ChIP-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 interpretation on data from genomic platforms including expression, exon, tiling, promoter and others array types.
• Work independently with research groups to develop, implement, and refine analytical pipeline for single cell data analysis.
• Develop, optimize, and maintain bioinformatics 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, select appropriate analytical approaches, and troubleshoot methodologies.
• Integrate and analyze diverse genomic and multi-omic datasets, 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 research objectives aligned with organizational mission.

Benefits

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Parental Leave
• 401(k) Retirement Plan
• Group Term Life and Travel Assistance
• Voluntary Life and AD&D Insurance
• Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
• Transit and Parking Commuter Benefits
• Short-Term & Long-Term Disability
• Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach Care.com annual membership
• Employee Assistance Program
• Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
• Position may be eligible for a discretionary variable incentive bonus

What This Job Offers

• Job Type: Full-time
• Career Level: Senior