Data Scientist

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

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave

Transit and Parking Benefits

Tuition Reimbursement, Certifications

Employee Referral Program

Employee Assistance Program

Discretionary bonus

Job summary

Guidehouse is seeking a Data Scientist to provide analytical and technical support for data science activities on-site at NIH campuses in Bethesda, MD or Baltimore, MD. Responsibilities include data acquisition, cleaning, transformation, integration, statistical analysis, visualization, and machine learning model development.

You will develop reproducible pipelines, dashboards, and decision-support products while collaborating with subject-matter experts, researchers, data engineers, program

Qualifications

• Bachelor’s degree in a related field.
• Minimum of 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 ML models; develop reproducible 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; active public trust preferred.

Responsibilities

• Collect, clean, integrate, and validate data from diverse sources.
• Work with large and complex data sets.
• Support reproducible analytical pipelines and model testing.
• Develop dashboards, reports, and decision-support products.
• Create reproducible data pipelines, workflows, and models.
• Conduct exploratory, descriptive, predictive, and inferential analyses.
• Apply statistical and ML methods to NIH research objectives.
• Produce visualizations and presentations for stakeholders.
• Collaborate with researchers, data engineers, program managers, and IT professionals.
• Support data governance, privacy, and responsible use of sensitive information.
• Contribute to data standards, metadata, and reproducible research practices.
• Monitor analytics products for accuracy and relevance.
• Stay updated with new data science methods and tools.

Skills

Python

R

Data analysis

Data visualization

Statistical analysis

Machine learning

NLP familiarity

SOPs writing

Documentation

Collaboration

Education

Bachelor’s degree

Tools

PyTorch

TensorFlow

Hugging Face

OpenAI API

Job description

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, 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

The annual salary range for this position is $65,000.00-$108,000.00. 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.

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 [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.