Senior Statistical Programmer FSP - RWD/EPI

Cytel; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Cytel is seeking an experienced epidemiology data analyst to support Real World Data (RWD) analytics. You will partner with epidemiologists to design studies, prepare data extracts, and develop analysis plans leveraging large RWD sources such as claims and EHR data.

You will create analytic databases and generate results for internal and client discussions. You will apply regression, survival, and propensity weighting methods, with strong SQL/SAS/R or R skills.

Qualifications

• Master’s degree or PhD in epidemiology, biostatistics, statistics, bioinformatics, or economics with 5+ years of RWE analytics experience.
• Proficiency in SQL is required; SAS or R proficiency is required.
• Experience with RWE data sources such as Optum Clinformatics Datamart, Truveta, UK Biobank is preferred.
• Familiarity with relational databases and familiarity with claims and ancillary file layouts.
• Experience with regression, survival, and propensity weighting methods.
• Excellent project management and strong communication with stakeholders.

Responsibilities

• Assist in development of study protocols and analysis plans using large RWD sources (Claims and/or EHR).
• Liaise with data vendors to obtain data extracts aligning with study protocols.
• Create analytical databases from data extracts for analyses.
• Conduct analyses per study protocols and analysis plans.
• Produce tables/figures for discussions with investigators, clients, and reports.
• Present results internally and to clients; assist in study reports and deliverables.
• Potential supervisory responsibilities in the future.

Skills

SQL proficiency

SAS or R proficiency

RWE analytics

Project management

Communication skills

Stakeholder management

Statistical modeling

Education

Master’s degree or PhD in epidemiology/biostatistics/statistics/bioinformatics/economics

Tools

SAS

R

SQL Server

Job description

Job Description

• 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 desirable
• 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