Associate Manager/Manager, Clinical Biostatistics and Epidemiology

Organization
Regeneron Pharmaceuticals
Job Location
Tarrytown, NY 10591
Job Description

The position will be responsible for designing and conducting analyses involving clinical and phenotypic data for genetics studies at the Regeneron Genetics Center. Responsibilities will include analyzing large-scale clinical and phenotypic datasets, including de-identified EMR extracts from external collaborators, clinical datasets in selected cohorts, and internal datasets from clinical trials and other human subjects research. The position will involve working within a team of database administrators, clinical informaticists, clinical scientists, and programmers to design and perform association analysis within clinical and phenotypic data sets to support large-scale genetic studies. The position will require coordination and collaboration with other scientists within the department, research and clinical scientists at Regeneron, and external collaborators.   Additional responsibilities include, but are not limited to: - Work within a team of informaticists, programmers, database administrators, and clinical scientists, as well as external collaborators to analyze data from multiple health system partners. - Design and conduct data analysis, with primary responsibility for developing analytical models to identify clinical phenotypes and cohorts of interest in large clinical datasets for genetic association discovery. - Develop analytic methodologies and approaches to address queries for cohort selection related to sequencing and epidemiological outcomes studies. - Conduct algorithm development and implementation for primary epidemiological discovery in large clinical datasets. - Close collaboration and coordination with external health system collaborators and bioinformatics teams mining EMR and phenotypic data sets. - Execute the analyses in a timely, accurate and reliable manner. Communicate findings clearly to diverse stakeholders and document work for training and replication purposes.

Requirements

This position requires a PhD or Master's degree in Epidemiology, Statistics, Biostatistics, Public Health, or other relevant analytical/data field, and a minimum of three years data analysis experience.  Healthcare and EMR data analytics experience are also required.  Additional requirements include: - Experience with HIPAA-compliant data use and IRB protocols around use of EMR and other clinical data. - Mastery of major statistical analysis packages and languages (e.g. SAS, SPSS, S-plus, R, etc.). - Extensive experience designing and performing epidemiological association studies, including survival analysis, longitudinal data analysis, multivariate regression, propensity score generation and matching, instrumental variable analysis, and sensitivity analysis. - Familiarity and basic experience with clinical databases and hospital health informatics databases, including EPIC and EMR (electronic medical records) data structures. - Experience working with genomic and bioinformatics investigators is preferred. - Involvement in relevant programs such as eMERGE, HMO Research Network, or other such projects is preferred. - Demonstrates the ability to multitask and manage simultaneous projects to meet deadlines with a strong attention to detail. - Demonstrates ability to interpret and communicate analytical information in a clear, concise manner.

About Our Organization

The Regeneron Genetics Center is a wholly-owned subsidiary of the Company organized to collaborate with health systems and research groups to elucidate, on a large scale, genetic factors that cause or influence a range of human diseases.  Building upon Regeneron's strengths in mouse genetics and genetics-driven drug discovery and development, the Center will specialize in ultra-high-throughput exome sequencing and computational biology; discovery of genotype-phenotype associations through linkage to well-annotated de-identified patient electronic medical records; and validation of discoveries using Regeneron’s VelociGene® technology.  Our interests encompass a breadth of different areas such as Mendelian and family frameworks, large-scale population genetics (both common and rare variants), and gene-gene interactions.  Program goals include target discovery, indication discovery, and patient-disease stratification.  Objectives include advancing basic science around the world through public sharing of discoveries, providing clinically-valuable insights to physicians and patients of collaborating health-care systems, and identifying novel targets for drug development.

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