RWE Causal Inference Scientist, Pharmacoepidemiology

Axle; United States; On-site; USD 135,000 - 140,000; Full time

Benefits offered by this job

Paid Time Off

401K match up to 5%

Educational Benefits for Career Growth

Employee Referral Bonus

Flexible Spending Accounts

Job summary

A research firm is seeking a talented Pharmacoepidemiologist to join its team, supporting projects at the NIH’s NCATS. The role involves conducting causal inference studies, collaborating with multiple disciplines, and contributing to the development of analytical frameworks. Ideal candidates will hold a Ph.D. in a related field with strong experience in statistical analysis and coding languages. Competitive salary range of $135,000 - $140,000 USD.

Qualifications

• Experience with target trial emulation and causal inference methods realized in peer-reviewed publications.
• Fluent in coding languages and tools like Python, R, SQL, and Spark.
• Strong communication and collaboration skills to work in a multidisciplinary team.

Responsibilities

• Serve as SME for RWE causal inference studies.
• Design and execute studies using N3C EHR data.
• Collaborate with data science and software developer teams.

Skills

Statistical analysis

Causal inference methods

Strong communication skills

Multidisciplinary collaboration

Education

Ph.D. in Pharmacoepidemiology, Epidemiology, Biostatistics or related field

Tools

Python

R

SQL

Spark

Job description

A research firm is seeking a talented Pharmacoepidemiologist to join its team, supporting projects at the NIH’s NCATS. The role involves conducting causal inference studies, collaborating with multiple disciplines, and contributing to the development of analytical frameworks. Ideal candidates will hold a Ph.D. in a related field with strong experience in statistical analysis and coding languages. Competitive salary range of $135,000 - $140,000 USD.