Data Scientist

Job Family:

Scientist

Travel Required:

None

Clearance Required:

Ability to Obtain Public Trust

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.

• Bachelor’s degree
• Minimum of ONE (1) year of experience in data science, analytics, or research support.
• Experience using Python and/or R to acquire, clean, transform, analyze, and visualize data; support statistical analyses and machine learning models; and develop reproducible analytical workflows.
• Familiarity with NLP, Generative AI, LLMs, time series analysis, or other advanced data science techniques.
• Strong skills in data analysis, data presentation, and documentation.
• Experience writing SOPs and contributing to technical or research documentation.
• 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.

• 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, Tensor Flow, Hugging Face, and Generative AI tooling
• Exposure to API‑driven workflows, including OpenAI integrations
• Proficiency in additional analytical or technical environments such as MATLAB

The annual salary range for this position is $65,000.00-$. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that…