Data Scientist

Guidehouse•Bethesda, MD

5d•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

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

Responsibilities

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.

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