Senior Programmer FSP - RWD/EPI

Cytel; Indianapolis (IN); On-site; USD 120,000 - 150,000; Full time

Job summary

Cytel Inc. in the United States seeks an experienced epidemiology/RWE analyst to prepare real-world data, advise on analytic strategies, and support stakeholders across pharmacovigilance and clinical development.

You will collaborate with epidemiologists to build analytical databases, perform SQL/SAS/R analyses, and present results to clients. You will work with data vendors, ensure timely project delivery, and may assume supervisory responsibilities in the future as you contribute to

Qualifications

• Master’s degree or PhD in epidemiology, biostatistics, statistics, bioinformatics, economics with 5+ years of RWE analytics experience.
• Must have intermediate to expert SQL; SAS or R proficiency required.
• Deep expertise analyzing RWE sources such as Optum Clinformatics Datamart, Truveta, UK Biobank.
• Experience with relational databases and claims/registry data formats.
• Experience with regression, survival, and propensity weighting analyses.

Responsibilities

• Assist in development of study protocols and analysis plans using large RWD sources.
• Liaise with data vendors for data extracts and create analytical databases.
• Conduct analyses per study protocols and generate tables/figures for reports.
• Present results to investigators and clients; contribute to study reports.
• Possibility of supervisory responsibilities in the future.

Skills

5+ years RWE analytics

Strong communication

Education

Master’s degree or PhD in epidemiology/biostatistics/related field

Tools

SQL

SAS

R

Job description

You will contribute by:

• Providing support to the Epidemiology team by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic activities
• Programming and conducting statistical analysis under the direction and supervision of epidemiologists/statisticians including data coding, creation of algorithms, linkage of datasets, and use of statistical packages or platforms
• Supporting statistical programming to generate innovative means of data standardization, visualization, and reporting of observational data
• Supporting Medical Affairs (e.g. observational studies leveraging RWD); Global Patient Safety and Risk Management (e.g., analysis to obtain background rates) for the development of regulatory/safety documents, and Clinical Development (e.g.; assessment of patient populations/ protocol feasibility)
• The position will partner with Epidemiologists to manage relationships with internal and external stakeholders
• Being able to prioritize and manage work across multiple projects and stakeholders
• Providing strong communication to ensure successful and timely project delivery
• Solving technical problems with experience and expertise

Summary of Key Responsibilities:

• Assist in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EHR)
• Liaise with data vendors to obtain relevant data extracts for research studies consistent with study protocols
• Create analytical databases from data extracts to facilitate conduct of data analyses
• Conduct analyses consistent with methods set forth in study protocols and analysis plans
• Produce tables and figures for discussions with other investigators, clients, and for study reports
• Present results internally and to clients
• Assist in the preparation of study reports and other deliverables
• May have supervisory responsibilities in the future

What we’re looking for:

• Master’s degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and 5+ years of experience conducting RWE analytics for pharma industry, CRO, or academic institution
• Intermediate to expert level proficiency in SQL is a must. In addition, SAS or R proficiency is required
• Deep expertise analyzing RWE data sources such as Optum (Clinformatics Datamart® and Market Clarity), Truveta and UK Biobank. Experience analyzing clinical trial and/or registry data is required
• Familiarity with relational databases and proficient understanding of claims and ancillary file layouts
• Experience with applied statistics including regression analysis (OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (Kaplan-Meier, cumulative incidence, accelerated failure time models), and propensity weighting
• Excellent project management skills; can prioritize multiple tasks and goals to ensure timely completion
• Confident and competent when interacting with internal and external stakeholders
• Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence

Cytel Inc. is an Equal Employment / Affir…