Data Scientist

Position Summary

Prometheus Federal Services (PFS) is a trusted partner of federal health agencies. We are exploring the addition of an experienced Data Scientist to support clinical research across the Veterans Health Administration (VHA). This role transforms complex clinical and research data into actionable insights that drive patient outcomes, operational efficiency, and evidence-based decision-making. The Data Scientist ensures data quality, regulatory compliance, and statistical rigor while collaborating with researchers, clinicians, and regulatory stakeholders to support the success and integrity of clinical trials and research studies.

Essential Functions & Responsibilities

Statistical Metric Development & Oversight

Serve as a statistical lead across multiple biomedical research initiatives

Design and oversee healthcare performance measures with clear clinical and operational impact

Partner with clinicians, analysts, and data owners to ensure data integrity, validity, and alignment

Define statistical significance thresholds to support evidence-based decision-makingStudy Design & Biostatistical Consultant

Collaborate with principal investigators to design rigorous clinical and biomedical studies

Develop and execute Statistical Analysis Plans (SAPs) aligned with regulatory and scientific standards

Support study protocols with sample size calculations, randomization strategies, and power analyses

Ensure compliance with ICH-GCP, FDA, and EMA guidelines throughout the data lifecycleData Management & Analysis

Manage and analyze large, complex datasets spanning clinical, genomic, and laboratory domains

Apply advanced statistical methods, including regression models, survival analysis, mixed-effects, longitudinal, and Bayesian approaches

Conduct simulations and novel modeling to address complex research questionsBenchmarking & Performance Evaluations

Leverage industry standards (CMS, NCQA, HEDIS, Joint Commission) to inform target setting

Perform comparative and population health analyses across peer organizationsBiostatistical Analysis & Study Design

Apply biostatistical methods to analyze health data

Design and execute analytics studies using statistical analysis techniques

Evaluate causality, confounding factors, and data limitations in clinical datasets

Provide methodological support for research, quality improvement, and program evaluation initiativesReporting & Visualization

Develop executive-ready dashboards and visualizations using tools such as Power BI, Tableau, and Python

Translate complex findings into clear, actionable insights for technical and non-technical audiences

Build reproducible, automated, and version-controlled analytic workflowsData Governance & Compliance

Ensure adherence to HIPAA, data privacy, and institutional governance standards

Maintain comprehensive documentation to support transparency and reproducibilityScientific Communication & Compliance

Author and contributor to manuscripts, technical reports, and conference presentations

Clearly interpret statistical results for investigators with varying levels of quantitative expertiseStrategic & Ad Hoc Analytics

Deliver rapid-cycle analyses supporting population health, patient safety, and strategic prioritiesMinimum Qualifications

Master's degree in Biostatistics, Health Informatics, Data Science, or a related quantitative discipline

Three (3) + years of experience in healthcare analytics, with demonstrated proficiency in statistical modeling and data interpretation

Deep familiarity with healthcare data types (e.g., claims, EMR, registries, surveys); VHA Corporate Data Warehouse (CDW) knowledge preferred

Strong knowledge of biostatistical techniques, including hypothesis testing, mixed models, and longitudinal analysis

Proficiency in Microsoft Excel, R, SAS, Python, SQL, and data visualization tools

Ability to communicate with both clinical and technical teams, translating numbers into narratives

Ability to work independently and in a multidisciplinary team

Authorized to work in the U.S. indefinitely without sponsorship

Ability to obtain a Public TrustPreferred Qualification

Experience building semantic data models in Power BI and Analysis Services Tabular

Experience utilizing RedCap in clinical data collection and management

Proficiency with DAX (Data Analysis Expressions) to create custom measures, KPIs, and dynamic reporting

Ability to translate business requirements into intuitive data structures and reusable logic

Compensation & Benefits

PFS offers a benefits package that may include health, dental, and vision coverage; flexible spending accounts; disability and life insurance; retirement plan; paid time off; and other programs to support employees and their families. Learn more about PFS Benefits.

PFS benefits, compensation, and bonuses are determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract and organizational requirements.

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, parental status, national origin, age, disability, genetic information, political affiliation, military service, or other status protected by law.

Accommodations

PFS is committed to providing equal employment opportunities to all applicants. If you require a reasonable accommodation during the application or interview process, please contact us at . Reasonable accommodations are available to ensure applicants with disabilities have equal access to the hiring process, in accordance with the Americans with Disabilities Act (ADA) and applicable laws.

Workplace Health, Safety, and Compliance

This position may be subject to client specific or government mandated vaccination, health, or safety requirements, which may change over time.

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