Data Scientist

** Job Family**  **:*
* Scientist

** Travel Required**  **:*
* None

** Clearance Required**  **:*
* Ability to Obtain Public Trust

** 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**  **:*
* + 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.

** 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, 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.

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* What We Offer:

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