Data Scientist
Apply Job ID 38032 Date posted 04/03/2026Job Family:
Scientist (Digital)
Travel Required:
Clearance Required:
What You Will Do:
We are searching for a Data Scientist to provide advanced computational and data science expertise to support digital health and behavioral research within the NIH Intramural Research Program. This position is responsible for leading multimodal data integration, machine learning and simulation modeling, and supporting human subjects research activities to advance understanding of substance use, treatment outcomes, and recovery. The ideal candidate will demonstrate a strong publication record, including peer-reviewed scientific papers as first author, senior author, or contributing middle author, reflecting substantive contributions to computational modeling, machine learning, AI-driven research, or digital health studies. This is a full-time opportunity located in Baltimore, MD.
Develop and implement computational, statistical, and simulation-based experimental designs to evaluate behavioral and digital health research hypotheses.
Oversee project data quality; analyze and interpret project data.
Write technical reports and prepare manuscripts.
Develop and share analytical tools, scripts, and reproducible workflows to support laboratory research activities.
Review scientific data to determine if a research program can be developed around an idea or data package.
What You Will Need:
Master’s degree
Minimum of ONE (1) year of experience in data science, analytics, or research support
Hands on experience with Machine Learning and Generative AI, Natural Language Processing (NLP) and Large Language Models (LLMs), multimodal and time series data analysis, and reproducible data science using Python and/or R
Experience supporting human subjects’ research
Strong skills in data analysis, data presentation, and documentation
Experience writing SOPs and contributing to technical or research documentation
Proficiency with Python, R, SQL, Pandas, GitHub, Jupyter Notebook, and/or Linux
Must be able to obtain and maintain a Federal or DoD Public Trust. Candidates must receive approved adjudication of their Public Trust prior to onboarding with Guidehouse. Candidates with an active Public Trust or existing suitability are preferred.
What Would Be Nice To Have:
Have Good Clinical Practice (GCP) certification
Background in computational simulation modeling or advanced analytical methods
Demonstrated contribution to scientific manuscripts, abstracts, or publications
Familiarity with research operations activities, including documentation and supply coordination
Working knowledge of modern machine learning ecosystems, including PyTorch, TensorFlow, Hugging Face, and Generative AI tooling
Exposure to API‑driven workflows, including OpenAI integrations
Hands‑on use of cloud environments such as AWS and/or Azure for data or model development
Experience working with research data capture and sensing platforms (e.g., REDCap, mobile sensing technologies)
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
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
