Senior Programmer FSP - RWD/EPI

Cytel; Saint Paul (MN); On-site; USD 120,000 - 180,000; Full time

Job summary

Cytel is seeking a seasoned epidemiology data analyst to support the Real World Evidence program. You will prepare RWD, advise on analytic strategies, and work with epidemiologists to analyze data using SQL, SAS or R, and advanced methods.

You will build analytic datasets, run regression and survival analyses, and present results to stakeholders. Strong communication and project management are essential for timely delivery.

Qualifications

• Master’s degree or PhD in epidemiology, biostatistics, statistics, bioinformatics, or economics with 5+ years of RWE analytics experience.
• Proficiency in SQL (intermediate to expert) and SAS or R is required.
• Experience with RWE data sources such as Optum Clinformatics Datamart, Truveta, and UK Biobank.
• Familiarity with relational databases and claims/other data file layouts.
• Experience with regression, survival, and propensity weighting analyses.
• Strong project management and stakeholder communication skills.

Responsibilities

• Prepare Real World data and advise on analytic strategies for Epidemiology team.
• Program and conduct statistical analyses under supervision.
• Create data dictionaries, link datasets, and produce analytic databases.
• Generate tables/figures for investigators and study reports.
• Present results to clients and internal teams; assist in study reports.
• Supervise future staff as responsibilities grow.

Skills

SQL

SAS

R

RWE analytics

Data wrangling

Education

Master’s or PhD in epidemiology/biostatistics/biomed informatics

5+ years of RWE analytics experience

Tools

Optum Clinformatics Datamart

Truveta

UK Biobank

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…