Principal - - Data Scientist

Premier Healthcare Solutions; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Premier Healthcare Solutions is seeking a Principal Data Scientist to lead independent and collaborative research programs in biostatistics and health outcomes. You will apply advanced statistical methods to real-world data (EHR, claims) to design observational studies that inform product development.

The role requires a Doctorate and extensive research experience; you will mentor peers and work with government agencies, hospitals, and academia to translate findings into features that improve

Qualifications

• Years of applicable experience: 10 or more.
• Doctorate (Required).
• Experience leading observational studies in healthcare, public health, or epidemiology.
• Strong writing and speaking skills.
• Technical: R (Tidyverse), Python, and SQL; data modeling.

Responsibilities

• Lead independent and collaborative research programs in biostatistics and health outcomes.
• Design observational studies using real-world data and communicate findings.
• Translate research results into products, services and features for quality improvement.
• Publish peer‑reviewed work and present at conferences.
• Mentor peers and contribute to research operations.

Skills

Healthcare analytics

Statistics

Simulation & math

Data search

Data matching

Research collaboration

Writing & presentations

R Tidyverse

Python

SQL

Data modeling

Education

Doctorate (Required)

Job description

Principal || Data Scientist

What you will be doing

This position will lead independent and collaborative research programs in biostatistics and health outcomes research, in partnership with public health government agencies, hospitals and health systems, and academic institutions. Apply advanced statistical and epidemiologic methods to real-world evidence (RWE) datasets, including electronic health record, administrative billing, and post-adjudicated claims data, to design observational studies, answer clinically and operationally relevant questions, and produce high-impact peer-reviewed publications. Lead the development of statistical analysis plans and research protocols, and translate study findings into new products, services, and features that support quality improvement, population health management, and policy.

A doctoral degree and considerable research experience are required. A clinical or public health background is desired, along with an understanding of how clinicians wish to deploy analytics in support of quality improvement and population health management applications.

This level is recognized as expert in their field, knowledgeable of emerging trends and industry practices. Works without supervision with complete latitude for independent judgment. May mentor less experienced peers and display leadership as needed.

Biostatistics and Epidemiology

Real-World Evidence and Observational Research

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

Key Responsibilities

Research Leadership and Collaboration - 25%

• Lead research projects in collaboration with public health government agencies, hospitals and health systems, and academic institutions
• Translate research findings into new products, services, and features with product and engineering teams, and provide scientific leadership for large scale implementation
• Design, conduct, and evaluate observational studies (e.g., cohort and cross-sectional) using RWE datasets, including administrative and EHR data
• Work with internal and external SMEs to identify research questions that improve quality, safety, and efficiency across the healthcare system

Study Design and Statistical Methodology - 25%

• Serve as a subject matter expert in biostatistics and epidemiology across business domains (Cost, Clinical, MDM, etc.)
• Develop statistical analysis plans and research protocols for studies and strategic initiatives
• Apply advanced statistical methods, including GLMs, GLMMs, GAMs, ZIPs, hypothesis testing, propensity score matching, and IPW, and causal inference methods (e.g., mediation analysis, structural equation modeling) where appropriate, to produce valid and reproducible results
• Generate and test hypotheses and interpret study results for clinical, operational, and policy audiences

Stakeholder Engagement and Research Partnerships - 15%

• Facilitate & lead meetings with public health agencies, health system and hospital partners, academic collaborators, and internal teams to define research questions and requirements
• Analyze partner needs, procedures and problems, design research approaches and make recommendations
• Use clinical, public health, or technical background to interpret partner needs and translate them into clinically meaningful research and products
• Translate research findings into features and requirements that feed product backlogs

Publishing and Presentations - 20%

• Generate peer reviewed publications in high-impact journals as first or lead author, highlighting Premier's research and innovative methodologies
• Create patent submissions to protect Premier's intellectual property
• Publicly present innovative work at conferences and symposiums to demonstrate Premier's thought

Knowledge Sharing - Operations - 10%

• Provide statistical and research methodology advice, demonstrations and presentations to colleagues, client, and management
• Provide mentoring and training

Research Operations - 10%

On your own or indirectly supervising research teams to:

• Develop project estimates, research timelines, and work plans
• Identify develop, review, and evolve best practices, standards, and processes for rigorous, reproducible research
• Participate in the review of team member analyses and deliverables

Required Qualifications

Work Experience

Years of Applicable Experience - 10 or more years

Education

Doctorate (Required)

Preferred Qualifications

Skills

• Strong business/healthcare analytics, statistics, simulation and advanced mathematics, data search, and matching experience
• Leading collaborative research with government, health system, and academic partners
• Excellent writing and speaking skills
• Technical: R (Tidyverse), Python, and SQL; data modeling

Experience

Considerable post-doctoral research experience leading observational studies in healthcare, public health, or epidemiology

Biostatistics, epidemiology, and health outcomes research; machine learning experience a plus

Strong knowledge of real-world evidence (RWE) datasets, i