Senior Healthcare Data Analyst – Life Sciences

Jobtailor; Deutschland; Remote; EUR 82.000 - 121.000; Vollzeit

Zusammenfassung

Jobtailor is seeking an experienced analytics professional to lead healthcare analytics, HEOR and real‑world evidence studies for biopharma and device clients. You will design protocol workflows, mentor junior staff, and collaborate with statisticians to deliver rigorous analyses and clear client insights.

The role emphasizes reproducible research, data privacy, and effective scientific communication. A strong publication record is highly valued, with opportunities to contribute to journals and

Qualifikationen

• Master’s and/or doctorate degree in health services research, epidemiology, pharmacoepidemiology, biostatistics, health economics/outcomes research, data science, statistics or a related discipline
• 5+ years of professional experience conducting healthcare analytics
• Authored or co-authored at least 1 research article published in a scientific journal
• Bachelor's degree
• Demonstrated experience conducting healthcare analytics, HEOR and real-world efficacy (RWE) studies
• Strong portfolio of peer-reviewed publications as primary/senior author and contributor
• Proficiency in at least one statistical programming language; R, SQL, and/or SAS strongly preferred
• Experience with Git and reproducible research workflows
• Hands‑on expertise with real‑world data sources and data engineering/cleaning best practices
• Advanced methodological skills including causal inference, survival/time‑to‑event analysis, longitudinal models, difference‑in‑differences, and sensitivity analyses
• Strong PowerPoint development skills
• Clear verbal communication skills for explaining study design, methods, and results
• Strong scientific writing skills suitable for peer‑reviewed publication and scientific communications
• Working knowledge of HIPAA, data privacy, and compliant handling of PHI/limited datasets
• Basic knowledge of Gen AI tools, productivity applications, and ethical considerations
• Legally authorized to work in the United States without immigration support or sponsorship
• Resume or CV with a publication list or links to representative work
• Preferred: experience preparing HEOR/RWE evidence
• Preferred: familiarity with economic modeling, including cost‑effectiveness and budget impact, and integration of RWE inputs

Aufgaben

• Design rigorous healthcare analytics, HEOR, and RWE studies for biopharma and medical device clients
• Partner with project managers to scope engagements, recommend analytic approaches, and align objectives with client needs and timelines
• Mentor analysts and develop skills in study design, coding standards, and reproducible research
• Collaborate with analysts and statisticians on protocol design, statistical analysis plans, and advanced methods
• Design and execute studies using reusable R/Python packages, SAS code libraries, and Git-based versioning
• Analyze large administrative claims datasets while ensuring methodological rigor, data quality, and defensibility
• Ensure internal quality documentation requirements
• Communicate assumptions, methods, limitations, and results to non-technical stakeholders
• Prepare abstracts, posters, and manuscripts for peer-reviewed journals and scientific conferences
• Evaluate new data sources and emerging methods
• Recommend tools and standards to improve practice-wide analytics capability
• Support scientific publications and translate complex methods into actionable client insights

Kenntnisse

Statistical programming

Mentoring

Communication

Data privacy

Git

Reproducible research

Causal inference

Publications

Ausbildung

Master’s or Doctorate in health services research

Bachelor’s degree

Tools

Git

SAS Code Libraries

R/Python packages

PowerPoint

Gen AI tools

Jobbeschreibung

• Design rigorous healthcare analytics, HEOR, and RWE studies for biopharma and medical device clients
• Partner with project managers to scope engagements, recommend analytic approaches, and align objectives with client needs and timelines
• Mentor analysts and develop skills in study design, coding standards, and reproducible research
• Collaborate with analysts and statisticians on protocol design, statistical analysis plans, and advanced methods
• Design and execute studies using reusable R/Python packages, SAS code libraries, and Git-based versioning
• Analyze large administrative claims datasets while ensuring methodological rigor, data quality, and defensibility
• Ensure internal quality documentation requirements
• Communicate assumptions, methods, limitations, and results to non-technical stakeholders
• Prepare abstracts, posters, and manuscripts for peer-reviewed journals and scientific conferences
• Evaluate new data sources and emerging methods
• Recommend tools and standards to improve practice-wide analytics capability
• Support scientific publications and translate complex methods into actionable client insights

Requirements

• Master’s and/or doctorate degree in health services research, epidemiology, pharmacoepidemiology, biostatistics, health economics/outcomes research, data science, statistics or a related discipline
• 5+ years of professional experience conducting healthcare analytics
• Authored or co-authored at least 1 research article published in a scientific journal
• Bachelor's degree
• Demonstrated experience conducting healthcare analytics, HEOR and real-world efficacy (RWE) studies
• Strong portfolio of peer-reviewed publications as primary/senior author and contributor
• Proficiency in at least one statistical programming language; R, SQL, and/or SAS strongly preferred
• Experience with Git and reproducible research workflows
• Hands‑on expertise with real‑world data sources and data engineering/cleaning best practices
• Advanced methodological skills including causal inference, survival/time‑to‑event analysis, longitudinal models, difference‑in‑differences, and sensitivity analyses
• Strong PowerPoint development skills
• Clear verbal communication skills for explaining study design, methods, and results
• Strong scientific writing skills suitable for peer‑reviewed publication and scientific communications
• Working knowledge of HIPAA, data privacy, and compliant handling of PHI/limited datasets
• Basic knowledge of Gen AI tools, productivity applications, and ethical considerations
• Legally authorized to work in the United States without immigration support or sponsorship
• Resume or CV with a publication list or links to representative work
• Preferred: experience preparing HEOR/RWE evidence
• Preferred: familiarity with economic modeling, including cost‑effectiveness and budget impact, and integration of RWE inputs

Core Competencies

Demonstrates expertise in healthcare analytics, HEOR, and RWE study design, with proficiency in statistical programming languages such as R, SQL, and SAS. Strong capabilities in scientific writing, communication, and mentoring, alongside a solid portfolio of peer-reviewed publications.

Highest-signal resume keywords

• Healthcare Analytics
• HEOR Studies
• RWE Studies
• Statistical Programming (R, SQL, SAS)
• Scientific Writing

Hard Skills

• Healthcare Analytics
• HEOR Studies
• RWE Studies
• Statistical Programming (R, SQL, SAS)
• Causal Inference
• Survival Analysis
• Longitudinal Models
• Data Engineering
• Methodological Rigor
• Reproducible Research

Soft Skills

• Clear Verbal Communication
• Mentoring
• Collaboration
• Presentation Skills
• Scientific Communication

Industry Keywords

• Health Services Research
• Epidemiology
• Pharmacoepidemiology
• Biostatistics
• Health Economics
• Data Privacy
• HIPAA Compliance
• Peer‑Reviewed Publications
• Economic Modeling
• Cost‑Effectiveness Analysis

Tools & Technologies

• Git
• SAS Code Libraries
• R/Python Packages
• PowerPoint
• Gen AI Tools