Lead Statistical Programmer - Data​/Epidemiology. Carson LilyLifestyle

In this role, you will play a vital part by:

• Supporting the Epidemiology team with Real World Data preparation, offering insights on data analytics strategies, and assisting stakeholders in various epidemiological analyses.

• Conducting statistical analyses under the guidance of epidemiologists/statisticians, which includes data coding, creating algorithms, linking datasets, and utilizing statistical software.

• Enhancing statistical programming to innovate data standardization, visualization, and reporting processes for observational data.

• Collaborating with Medical Affairs (e.g., observational studies using RWD), Global Patient Safety and Risk Management (e.g., conducting analysis for regulatory documents), and Clinical Development (e.g., evaluating patient populations and protocol feasibility).

• Building and maintaining strong partnerships with both internal and external stakeholders alongside the Epidemiologists.

• Effectively managing and prioritizing work across multiple projects and stakeholder needs.

• Ensuring clear communication for successful and timely project execution.

• Applying your technical problem-solving skills with expertise and industry experience.

Summary of

Key Responsibilities:

• Aiding in the development of study protocols and analytical plans utilizing extensive RWD sources (Claims and/or EHR).

• Collaborating with data vendors to acquire pertinent data extracts that align with research study protocols.

• Creating analytical databases from data extracts to streamline data analysis processes.

• Executing analyses that adhere to the methodologies outlined in study protocols and analysis plans.

• Generating tables and figures for presentations with other investigators, clients, and for study documentation.

• Presenting findings internally and to clients in a clear and engaging manner.

• Assisting in crafting study reports and other essential deliverables.

• Potentially overseeing team members in the future.

We are seeking candidates who possess:

• A Master's degree or PhD in a relevant field (epidemiology, biostatistics, statistics, bioinformatics, economics) with a minimum of 5 years' experience in RWE analytics within the pharmaceutical industry, CRO, or academia.

• Intermediate to expert proficiency in SQL, along with required skills in SAS or R.

• Deep understanding of RWE data sources such as Optum (Cl informatics Datamart® and Market Clarity), Truveta, and UK Biobank; experience with clinical trial or registry data is advantageous.

• Familiarity with relational databases and comprehensive knowledge of claims and ancillary file formats.

• Expertise in applied statistics, including regression analysis (OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (Kaplan-Meier, cumulative incidence, accelerated failure time models), and propensity weighting.

• Strong project management skills; ability to juggle multiple tasks and objectives for on-time completion.

• Confidence and capability in engaging with both internal and external stakeholders.

• Excellent written and verbal communication skills, proficient at summarizing and presenting key insights and evidence.

Cytel Inc. is committed to being an Equal Employment / Affirmative Action Employer. All applicants are considered for positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.