Sr. Pharmacoepidemiologist

Remote Remotesenior

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Overview

(ID: 2026-1550) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad.

Key Responsibilities

Serve as SME for RWE causal inference studies. Design and execute studies with N3C EHR data considering the following: extent of missing data; missing data handling methods; temporal component of research studies (i.e.

Requirements Summary

Ph.D. in Pharmacoepidemiology, Epidemiology, Biostatistics or related field. Experience with the following: target trial emulation, sequential trial analysis, marginal structural models, longitudinal matching, G methods, or equivalent causal…

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(ID: 2026-1550)

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

What We Offer

~5 min read

✓100% Medical, Dental & Vision Coverage for Employees

✓Paid Time Off and Paid Holidays

✓401K match up to 5%

✓Educational Benefits for Career Growth

✓Employee Referral Bonus

✓Flexible Spending Accounts: Healthcare (FSA)

✓Parking Reimbursement Account (PRK)

✓Dependent Care Assistant Program (DCAP)

✓Transportation Reimbursement Account (TRN)

✓Serve as SME for RWE causal inference studies.

✓Design and execute studies with N3C EHR data considering the following: extent of missing data; missing data handling methods; temporal component of research studies (i.e. cross-sectional, longitudinal); the causal contrast of interest (e.g., intent-to-treat, per-protocol); the effect measure of interest (e.g., risk ratio, hazard ratio); and estimand (e.g., average treatment effect, average treatment effect in the treated) of interest.

✓Develop and operationalize decision-support frameworks to standardize how causal inference studies are designed, executed, and evaluated across projects.

✓Contribute to the development of reusable, platform-level components that support reproducible and scalable RWE generation.

✓Review and recommend strategies for selecting individuals in clinical cohorts.

✓Ensure the highest data quality and minimization of bias.

✓Use tools and languages such as Python, R, SQL, and Spark.

✓Help establish and implement appropriate analytic value sets.

✓Collaboratively produce extensive documentation (i.e. through training material, research protocols, open data sources such as repositories and/or methodological and research papers).

✓Work closely with data science and software developer teams to articulate technical methods and implement decision tool strategies.

✓Extract and transform clinical data from clinical trial and observational studies.

✓Participate in project meetings, provide updates on progress, challenges, and mitigation strategies.

✓Actively engage in key relevant meetings and keep abreast of emerging best practices and methods.

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

✓Experience with the following: target trial emulation, sequential trial analysis, marginal structural models, longitudinal matching, G methods, or equivalent causal inference methods realized in at least 2 primary-author peer-reviewed publications, or equivalent.

✓Experience developing or applying structured methodological frameworks to guide observational research.

✓Ability to independently conduct statistical analysis with analytic software tools (e.g. Python, R, SQL, MatchIt/WeightIt, Matplotlib, Lifelines, SKLearn, GT-summary, statsmodels, Survey).

✓Fluent in coding languages and tools (e.g. Python, R, SQL, Spark).

✓Strong communication and collaboration skills, with the ability to work effectively in a multidisciplinary team.

✓Experience with meta-analyses and/or systematic reviews.

✓Expertise in best practices for statistical approaches, data wrangling and visualization.

✓Knowledge of FAIR data principles.

✓Clinical informatics experience.