Data Scientist

Guidehouse; Bethesda (MD); On-site; USD 65,000 - 108,000; Full time

Benefits offered by this job

Medical Insurance

401(k)

Parental Leave

Paid Holidays

Job summary

Guidehouse seeks a Data Scientist for a full-time, on-site role supporting NIH research initiatives in Bethesda, MD (onsite) or Baltimore, MD. You’ll turn complex real-world data into analytics and decision-support products with reproducible workflows and careful handling of sensitive information.

You’ll build pipelines, perform descriptive and predictive analyses, develop models, and deliver dashboards to researchers and program managers while staying current with emerging methods and tools.

Qualifications

• Bachelor's degree required and at least 1 year in data science or research support.
• Experience with Python and/or R for data processing, analysis and visualization.
• Familiarity with NLP, Generative AI, LLMs, and time series analysis.
• Ability to write SOPs and document technical work.

Responsibilities

• Collect, clean, integrate, and validate data from diverse sources.
• Develop reproducible analytical pipelines and statistical models.
• Create dashboards and visualizations for technical and nontechnical stakeholders.
• Collaborate with researchers, data engineers, and IT professionals.

Skills

Python

R

NLP

Generative AI

LLMs

Time series analysis

Data analysis

Documentation

Education

Bachelor's degree

Tools

AWS

Azure

PyTorch

TensorFlow

Hugging Face

OpenAI

Python ecosystems

Job description

Guidehouse is hiring a Data Scientist for a full-time, on-site role supporting data science activities at the NIH campus in Bethesda, MD or Baltimore, MD. In this position, you will help turn complex, real‑world data into analytics and decision‑support products for research and program objectives, with an emphasis on reproducible workflows and responsible handling of sensitive information.

This role supports analytical pipelines across acquisition, cleaning, transformation, integration, and statistical and machine learning modeling, followed by visualization and delivery to technical and nontechnical stakeholders.

Responsibilities

• Collect, clean, integrate, and validate data from diverse sources, including research, clinical, operational, and public health systems.
• Work with multiple data formats and standards, including large and complex datasets.
• Support reproducible analytical pipelines through code development, model testing and validation, documentation, and quality assurance.
• 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.

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, including support for statistical analyses and machine learning models and development of 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; approved adjudication is required prior to onboarding with Guidehouse. Active public trust or suitability is preferred.

Technologies: Python, R, NLP, Generative AI, LLMs, time series analysis, AWS, Azure, PyTorch, TensorFlow, Hugging Face, OpenAI.

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

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

Location: Bethesda, MD (onsite). Travel required: None. Clearance: Ability to Obtain Public Trust.

Compensation: USD 65,000 - 108,000 per year. Education: Bachelor's degree. Job family: Scientist.

Guidehouse offers a comprehensive, total rewards package with competitive compensation and a flexible benefits plan designed to support a diverse and inclusive workplace.