Statistician - Real World Analytics

EPM Scientific; Indianapolis (IN); On-site; USD 140,000 - 200,000; Full time

Job summary

A life sciences consultancy is seeking an Associate Director, Statistics (Real-World Analytics) in Indianapolis, IN. This role involves leading strategic evidence generation efforts and applying statistical expertise to significant health issues. Ideal candidates will have a Ph.D. in Statistics/Biostatistics and experience in real-world evidence generation across Therapeutic Areas. This full-time position offers a competitive salary and a collaborative work environment.

Qualifications

• 3+ years of experience in real-world evidence generation.
• Strong understanding across multiple Therapeutic Areas (Oncology, Cardio-Metabolic, etc.).
• Clinical related research experience preferred.

Responsibilities

• Apply statistical expertise to solve strategic problems.
• Lead design and execution of studies addressing efficacy and safety.
• Collaborate cross-functionally to extract insights from real-world data.

Skills

Statistical expertise

Real-world evidence generation

Communication skills

Team collaboration

Education

Ph.D. in Statistics / Biostatistics

Job description

This range is provided by EPM Scientific. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$140,000.00/yr - $200,000.00/yr

Direct message the job poster from EPM Scientific

Principal Biometrics & Clinical Pharmacology Specialist - EPM Scientific

Job Title: Associate Director, Statistics (Real-World Analytics)

Job Type: Full-Time

Position Overview: This Real-World Analytics leader will be responsible for driving strategic evidence generation initiatives across key functional areas, including Medical Affairs, Access & Reimbursement, and Real-World Evidence. You will be responsible for ensuring that the proposed evidence generation activities are scientifically sound.

Key Responsibilities:

• Apply statistical expertise to solve strategic problems and develop innovative evidence-generation approaches.
• Lead design and execution of studies addressing efficacy, safety, and real-world outcomes.
• Oversee statistical planning, analysis, and publication for RWE, data mining, and indirect comparisons.
• Collaborate cross-functionally to extract insights from real-world data (claims, EMR, registries) for study and portfolio optimization.
• Provide global statistical leadership for HTA and reimbursement strategies.

Qualifications:

• Ph.D. in Statistics / Biostatistics
• 3+ years of experience in real-world evidence generation
• Strong understanding across multiple Therapeutic Areas (Oncology, Cardio-Metabolic, etc.)
• Excellent communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.
• Clinical related research experience (Preferred)
• Big Pharma Experience (Preferred)

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

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