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), 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
Skills Required
- Master’s degree or PhD in epidemiology, biostatistics, statistics, bioinformatics, economics, or a related field
- 5+ years of experience conducting real-world evidence analytics for the pharmaceutical industry, a CRO, or an academic institution
- Intermediate to expert-level proficiency in SQL
- Proficiency in SAS or R
- Deep expertise analyzing RWE data sources such as Optum Clinformatics Datamart, Optum Market Clarity, Truveta, and UK Biobank
- Familiarity with relational databases and claims and ancillary file layouts
- Experience with applied statistical methods, including regression, longitudinal, logistic, Cox, GLM/GEE, survival analysis, and propensity weighting
- Excellent project management skills with the ability to prioritize multiple tasks and goals
- Confidence and competence interacting with internal and external stakeholders
- Strong written and verbal communication skills, including summarizing and presenting evidence
- Experience analyzing clinical trial or registry data
Cytel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cytel and has not been reviewed or approved by Cytel.
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, life and disability, with FSAs/HSAs also available. Plan quality is often characterized as good to excellent, which lifts the perceived value of the overall package.
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Retirement Support — A 401(k) with employer match is consistently part of the benefits package. The plan is also characterized as well managed, contributing to a sense of baseline retirement support.
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Fair & Transparent Compensation — Overall pay is characterized as decent-to-good and broadly competitive in parts of the business, with stronger alignment noted in senior technical tracks like biostatistics and programming. The total package is often framed as respectable rather than premium.
Cytel Insights
What We Do
Cytel enables decision-makers in the life sciences to unlock the full potential of their products. From navigating uncertainty to proving value, Cytel’s 30 years of global expertise in consulting, data-driven analytics, and industry-leading software helps biotech and pharmaceutical companies transform intelligence into confident decisions. We have an uncompromising commitment to scientific rigor and high standards of operational excellence, which are channeled through our locations in North America, Europe, the United Kingdom, and Asia. Together, we enable our clients to deliver the therapies that propel humanity forward. Cytel employs a range of data science tools from biostatistics to machine learning to help executives in the life-sciences to make confident decisions powered by data. We are probably best known for being leaders in the field of adaptive clinical trial design, a subset of trial design that uses interim looks to enhance the patient safety and commercial value of pharmaceutical products. We also have specialists in Bayesian statistics, real world evidence, artificial intelligence, health economics, and a number of other research fields to ensure that academic and scientific findings can have impact on industry quickly and seamlessly. www.cytel.com
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