Principal Programmer - RWD/EPI

Cytel; Austin (TX); Vor Ort; USD 120.000 - 180.000; Vollzeit

Zusammenfassung

Cytel is seeking an experienced epidemiology data scientist to leverage large real-world data sources (RWD) and advise on analytic strategies. You will work with epidemiologists and stakeholders to design studies, prepare data, and program analyses that support regulatory and research objectives.

The role includes generating innovative data standardization, visualization, and reporting methods, presenting results to clients, and contributing to study reports.

Qualifikationen

• Master’s degree or PhD in epidemiology, biostatistics, statistics, bioinformatics, or economics.
• 5+ years of experience conducting RWE analytics for pharma, CRO, or academic institutions.
• Intermediate to expert SQL; SAS or R proficiency required.
• Experience with RWE data sources like Optum Clinformatics, Truveta, UK Biobank desirable.
• Familiar with relational databases and claims/ ancillary file layouts.
• Experience with regression, survival, and propensity weighting.

Aufgaben

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

Kenntnisse

SQL

SAS

R

Data analysis

Communication skills

Project management

Stakeholder management

Survival analysis

Propensity weighting

Regression analysis

Ausbildung

Master’s degree or PhD in epidemiology/biostatistics

Tools

Optum Clinformatics Datamart

Market Clarity

Truveta

UK Biobank

Jobbeschreibung

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 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), surrogate 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 / Aff…? Applicants are considered for all 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.