Data Scientist

Premier Healthcare Solutions; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Premier Healthcare Solutions is seeking a Data Scientist to support real‑world evidence research in biostatistics and health outcomes. You will clean and analyze data, apply established statistical methods, and document analyses for reproducibility.

You will collaborate with researchers, clinicians, product teams, and engineers to translate research questions into concrete analyses and to communicate results clearly. A Master’s degree is preferred, with strong coding and writing skills.

Qualifications

• Foundation in statistics, epidemiology, or healthcare analytics.
• Ability to clean, join, summarize, and analyze structured data.
• Clear technical writing, presentation, and collaboration skills.

Responsibilities

• Research support and collaboration on projects with agencies, hospitals, and academia.
• Implement statistical analyses using descriptive statistics, regression, and basic propensity score methods.
• Document code, assumptions, and results to support reproducibility.
• Translate research questions into analytical requirements for product and engineering teams.
• Contribute analyses and results to manuscripts and technical reports.
• Share methods and lessons learned with colleagues and participate in reviews.

Skills

R

Python

SQL

Biostatistics

Epidemiology

Data cleaning

Education

Bachelor's degree

Master's degree

Tools

Git

Databricks

Posit

Job description

Data Scientist

What you will be doing:

This position will support independent and collaborative research programs in biostatistics and health outcomes research. Under the direction of senior team members, you will clean and analyze RWE data, implement established statistical methods, document reproducible analyses, and contribute to observational studies and partner deliverables. You will work with researchers, clinicians, product teams, and engineers to translate well-defined research questions into analyses and to communicate results clearly.

Biostatistics and Epidemiology

Real-World Evidence and Observational Research

Partner support: public health agencies, health systems, and academia

Key Responsibilities

• Research Support and Collaboration - 25%

  Support research projects conducted with public health agencies, hospitals and health systems, and academic institutions

  Contribute to observational studies, such as cohort and cross-sectional analyses, using administrative, claims, and EHR data

  Work with senior team members and subject matter experts to refine research questions and analytical requirements

  Assist product and engineering teams in translating validated findings into product features or implementation requirements

• Study Design and Statistical Analysis - 25%

  Implement statistical analysis plans and research protocols developed with senior researchers

  Apply established statistical methods, including descriptive statistics, hypothesis testing, regression models, and basic propensity score methods, with guidance

  Perform data quality checks, create analytic datasets, and document assumptions, code, and results to support reproducibility

  Generate and test defined hypotheses and summarize study results for clinical, operational, and policy audiences

• Stakeholder Engagement and Research Partnerships - 15%

  Participate in meetings with agency, health system, academic, and internal partners to gather requirements and provide analytical updates

  Document partner needs, decisions, and follow-up actions

  Use developing clinical, public health, or technical knowledge to help translate partner questions into measurable outcomes

  Contribute analysis details and acceptance criteria to product backlogs

• Publishing and Presentations - 15%

  Contribute analyses, tables, figures, methods, and results to peer-reviewed manuscripts and technical reports

  Prepare presentation materials, posters, and supporting documentation for conferences, partner meetings, and internal reviews

  Present assigned portions of project work with coaching from senior team members

• Knowledge Sharing - 10%

  Share analytical approaches, demonstrations, and lessons learned with colleagues

  Participate in technical reviews, training, and professional development

  Build proficiency in healthcare data, epidemiologic methods, and team tools

• Research Operations - 10%

  Contribute to project estimates, research timelines, and work plans

  Follow established research standards, operating procedures, version-control practices, and quality checks

  Participate in peer review of code, analyses, and deliverables and address feedback promptly

Required Qualifications

Work Experience:
Years of Applicable Experience - 2 or more years Education:
Bachelors (Required)

Preferred Qualifications

• Skills:

  Foundational knowledge of statistics, epidemiology, or healthcare analytics

  Ability to clean, join, summarize, and analyze structured data

  Clear technical writing, presentation, and collaboration skills

  Working knowledge of R or Python and SQL; familiarity with reproducible analysis and data modeling

• Experience:

  Academic, internship, or professional experience analyzing healthcare, public health, clinical, or other complex datasets

  Experience applying statistical methods through coursework, research, internships, or employment

  Experience producing documented analyses, tables, figures, or technical reports

  Ability to work effectively on cross-functional teams and incorporate technical review feedback

  Familiarity with real-world evidence datasets, including administrative claims or EHR data

  Exposure to observational study designs, generalized linear models, propensity scores, or causal inference concepts

  Experience with Git, Posit, Databricks, or another collaborative analytics environment

  Coursework, internship, thesis, or publication experience in healthcare or public health research

• Education:

  Master's degree, in statistics, biostatistics, epidemiology, public health, data science, economics, mathematics, engineering, or a related empirical field

Additional Job Requirements:

• Remain in a stationary position for prolonged periods of time
• Be adaptive and change priorities quickly; meet deadlines
• Attention to detail
• Operate computer programs and software
• Ability to communicate effectively with audiences in person and in electronic formats.
• Day-to-day contact with others (co-workers and/or the public)
• Making independent decisions
• Ability to work in a collaborative busi