Senior Programmer FSP - RWD/EPI

Job summary

The role involves providing statistical programming and data analytic support to the Epidemiology team using Real World Data. Key duties include creating analytical databases, conducting statistical analyses, and producing reports for regulatory and safety documents.

Job details

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 Responsibilities 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 Qualifications 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

What you’ll do

The role involves providing statistical programming and data analytic support to the Epidemiology team using Real World Data. Key duties include creating analytical databases, conducting statistical analyses, and producing reports for regulatory and safety documents.

Requirements

Candidates must have a Master's or PhD in a related field and over 5 years of experience in RWE analytics within the pharma or academic sectors. Expert proficiency in SQL is required, along with proficiency in SAS or R and experience with large RWD sources like Optum and UK Biobank.

Listed skills

• SQL · Preferred
• Data visualization · Preferred
• Project management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• SQL
• SAS
• R
• Real World Evidence
• Epidemiology
• Biostatistics
• Regression Analysis
• Survival Analysis
• Propensity Weighting
• Data Standardization
• Data Visualization
• Project Management
• Clinical Trial Data Analysis
• Relational Databases
• RWD Analytics
• Study Protocol Development

Job areas

• Data & Analytics
• Science & Research
• Healthcare
• Engineering
• Manufacturing

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