Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in both independent and collaborative research initiatives focused on biostatistics and health outcomes.

• Cleanse and analyze data derived from real-world evidence.

• Apply established statistical techniques and analysis strategies.

• Document reproducible analyses, encompassing assumptions, code, and outcomes.

• Contribute to observational studies utilizing administrative, claims, and electronic health record (EHR) data.

• Transform clearly defined research inquiries into analyses and articulate results effectively.

• Support research endeavors in collaboration with public health organizations, hospitals, health systems, and academic entities.

• Collaborate with senior team members and subject matter experts to refine research inquiries and analytical needs.

• Aid product and engineering teams in converting validated insights into product features or implementation specifications.

• Conduct data quality assessments and develop analytic datasets.

• Formulate and test defined hypotheses and summarize research findings.

• Engage in partner meetings, capture requirements, and deliver analytical updates.

• Record partner requirements, decisions, and follow-up actions.

• Provide analysis specifics and acceptance criteria for product backlogs.

• Contribute analyses, tables, figures, methodologies, and findings to manuscripts and technical reports.

• Prepare presentations, posters, and relevant documentation.

• Present designated segments of project work with guidance.

• Share analytical methodologies, demonstrations, and insights gained.

• Take part in technical evaluations, training sessions, and professional growth opportunities.

• Assist in estimating project costs, research timelines, and work plans.

• Adhere to research standards, operational protocols, version-control practices, and quality assurance checks.

• Engage in the peer review process of code, analyses, and deliverables, addressing feedback received.

⛳️ Requirements

• Minimum of 2 years of relevant experience.

• Bachelor’s degree (mandatory).

• Basic understanding of statistics, epidemiology, or healthcare analytics.

• Capability to clean, join, summarize, and analyze structured datasets.

• Proficient technical writing, presentation, and teamwork abilities.

• Knowledge of R or Python and SQL.

• Familiarity with reproducible analysis and data modeling techniques.

• Experience working with healthcare, public health, clinical, or other intricate datasets through academic, internship, or professional avenues.

• Background in applying statistical methods through coursework, research projects, internships, or job positions.

• Proven track record of producing documented analyses, tables, figures, or technical reports.

• Acquainted with real-world evidence datasets, including administrative claims or EHR data.

• Exposure to observational study designs, generalized linear models, propensity scores, or causal inference principles.

• Experience using Git, Posit, Databricks, or other collaborative analytics platforms.

• Educational or practical experience in healthcare or public health research through coursework, internships, theses, or publications.

• Ability to maintain a stationary position for extended periods.

• Flexibility to quickly adapt and reprioritize tasks to meet deadlines.

• Strong attention to detail.

• Competence in operating computer programs and software applications.

• Effective communication skills in person and through electronic means.

• Ability to work collaboratively in close quarters with colleagues while managing interruptions.

🏝️ Benefits

• Comprehensive health, dental, vision, life, and disability insurance.

• 401k retirement plan.

• Paid time off.

• Eligibility for Premier’s employee incentive programs.

• Tuition reimbursement and opportunities for professional development.

• Various perks and discounts.

• Access to on-site and online fitness classes.