Job Family:

Travel Required:

Clearance Required:

What You Will Do:
We are searching for a Data Scientists to provide analytical and technical support for data science activities, including data acquisition, cleaning, transformation, integration, statistical analysis, visualization, and machine learning model development. These full time, on-site positions are based on the NIH campus in Bethesda, MD or Baltimore, MD.

• Collect, clean, integrate, and validate data from diverse sources, including research, clinical, operational, and public health systems.

• Work with different data formats and standards with data sets that may be large and complex.

• Support implementation of reproducible analytical pipelines, code development, model testing and validation, documentation, and quality assurance.

• Assist in developing dashboards, reports, and decision-support products.  

• Develop and maintain reproducible data pipelines, analytical workflows, and statistical models.

• Conduct exploratory, descriptive, predictive, and inferential analyses.

• Apply appropriate statistical and machine learning methods to support NIH research and program objectives.

• Create dashboards, visualizations, reports, and presentations for technical and nontechnical stakeholders.

• Collaborate with subject-matter experts, researchers, data engineers, program managers, and IT professionals.

• Support data governance, quality assurance, documentation, privacy, security, and responsible use of sensitive information.

• Contribute to the design of data standards, metadata, documentation, and reproducible research practices.

• Monitor analytical products and models for accuracy, performance, bias, and continued relevance.

• Stay current with emerging methods, tools, and best practices in data science, biomedical informatics, and public health analytics.

What You Will Need:

What Would Be Nice To Have:

• Background in computational simulation modeling or advanced analytical methods

• Demonstrated contribution to scientific manuscripts, abstracts, or publications

• Experience working for NIH or HHS Agency.

• Familiarity with research operations activities, including documentation and supply coordination

• Hands‑on use of cloud environments such as AWS and/or Azure for data or model development

• Working knowledge of modern machine learning ecosystems, including PyTorch, TensorFlow, Hugging Face, and Generative AI tooling

• Exposure to API‑driven workflows, including OpenAI integrations

• Proficiency in additional analytical or technical environments such as MATLAB

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• 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