Pharmacoepidemiologist, Causal Inference

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

Overview

Axle is seeking a talented Pharmacoepidemiologist to join our team to support projects at the NIH’s National Center for Advancing Translational Sciences (NCATS). You will collaborate with clinical and data scientists, methodologists, and software engineers to develop and execute exemplar causal inference studies. You will work as a subject matter expert to create a real-world evidence (RWE) methods decision tree; support master protocol development; and support development of gold-standard guides and methodologies for conducting best practices causal inference research. You will design, execute, and analyze studies using the National Clinical Cohort Collaborative (N3C) data; review and recommend strategies for selecting study designs to answer causal inference questions; and help establish, and implement appropriate analytic value sets.

Responsibilities

• Serve as SME for RWE causal inference studies.
• Design and execute studies with N3C EHR data, considering missing data handling, temporal aspects (cross-sectional, longitudinal), causal contrast, effect measure, and estimands.
• 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 (training materials, research protocols, open data sources, repositories, and methodological 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 trials and observational studies.
• Participate in project meetings and provide progress updates, challenges, and mitigation strategies.
• Stay abreast of emerging best practices and methods.

Required Qualifications

• Ph.D. in Pharmacoepidemiology, Epidemiology, Biostatistics or related field.
• Experience with 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.
• Ability to independently conduct statistical analysis with analytic software tools (e.g., Python, R, SQL, MatchIt / WeightIt, Matplotlib, Lifelines, scikit-learn, statsmodels, etc.).
• Fluent in coding languages and tools (Python, R, SQL, Spark).
• Strong communication and collaboration skills to work in a multidisciplinary team.

Preferred Qualifications

• 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.

Benefits

• 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)

Disclaimer

The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law.

Accessibility: If you need an accommodation as part of the employment process please contact: [e-mail]

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.

Salary Range: $135,000 USD - $140,000 USD