About this opportunity
Guidehouse lists this Data Scientist opportunity in baltimore, Maryland. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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.
Job Family
Scientist
Travel Required
None
Clearance Required
Ability to Obtain Public Trust
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 or via email at 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 Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.
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.
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Worksite address
baltimore, MD, 21276, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.