Senior Programmer FSP - RWD/EPI

Cytel; Geldern; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Cytel Inc. in Germany is seeking an experienced epidemiology data scientist to support Real World Data analytics and regulatory submissions.

You will program and conduct statistical analyses under supervision, develop data-driven strategies, and collaborate with epidemiologists and medical affairs to inform study design and safety documents. The role emphasizes strong SQL/SAS/R skills, data wrangling of claims and EHR sources, and clear communication with internal and external stakeholders to

Qualifikationen

• Master’s degree or PhD in epidemiology, biostatistics, statistics, bioinformatics or economics with 5+ years of RWE analytics experience.
• Experience analyzing RWE data sources (Optum Clinformatics Datamart®, Truveta, UK Biobank) required.
• Strong knowledge of relational databases and claims data layouts.
• Proficiency in regression, survival analysis, and causal inference methods.
• Excellent project management and stakeholder communication skills.

Aufgaben

• Develop study protocols and analysis plans using large RWD sources (Claims and/or EHR).
• Collaborate with vendors to obtain data extracts per study protocols.
• Create analytical databases to facilitate data analyses.
• Conduct analyses per study protocols and analysis plans.
• Produce tables/figures for discussions with investigators and clients.
• Present results to internal teams and clients.
• Assist in preparing study reports and deliverables.
• Possibly supervise others in the future.

Kenntnisse

RWE analytics

SQL proficiency

SAS or R proficiency

Project management

Stakeholder communication

Relational databases

Ausbildung

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

Tools

SQL

SAS

R

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 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 / 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.