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Company

Cytel · 1 day ago

Principal Statistical Programmer FSP, Epidemiology RWE

United States

Full-time

Remote

Mid, Senior Level, Lead/Staff

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H1B Sponsor Likely

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Responsibilities

Providing support to the Epidemiology and Value Evidence Strategy teams by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic activities.

Partnering with Epidemiologists to manage relationships with internal and external stakeholders including Value Evidence Strategy and Safety.

Understanding, interpreting, and integrating data from various sources to ensure clinical/biological/regulatory questions can be answered appropriately with the available data.

Assisting in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EMR).

Creating statistical programs of high quality and well-documented data manipulation, analysis, outputs, and reports.

Extensive experience selection of databases, study protocol design, statistical analysis plan, inclusion/ exclusion criteria, definitions of exposures, outcomes and covariates by medical codes for observational studies.

Planning, understanding, managing expectations of stake holders in terms of project resourcing, feasibility, deliverables, and timeline.

Solving technical problems with experience and expertise.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

RWE data experienceSQLSASR programmingApplied statisticsRelational databasesClaims data analysisMaster’sBurden of disease studies

Required

Experience with databases that link both claims and EMR is a must have.

Strong recent experience in evidence generation using RWE data (Optum Market Clarity, TriNetX, IQVIA, McKesson Compile or other type of data that link claims and EHR/EMR), ex-US RWDs such as UK CPRD, UKBB, EU Thin, JMDC, etc.

Familiarity with relational databases and proficient understanding of claims and ancillary file layouts.

Knowledge of 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 programming skills with SQL, SAS, R.

You can work independently and in a team.

You are confident, self-reliant, and a quick learner.

Good oral and written English communication skills are mandatory.

Preferred

A Master’s degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and relevant years of experience conducting RWE analytics for pharma industry, CRO.

Experience in burden of disease / HCRU / cost of illness, and/or pharmaco-epidemiological studies – please include publication in the resume.

Company

Cytel

Glassdoor

3.9

Our mission is to improve success rates in this endeavor via the optimal design, effective implementation

Founded in 1987

Cambridge, Massachusetts, USA

1001-5000 employees

http://www.cytel.com

H1B Sponsorship

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2023 (30)

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2020 (36)