Head, Clinical Informatics

Tarrytown, New York
Mar 20, 2018
Required Education
Position Type
Full time
Position Summary

The Regeneron Genetics Center (RGC) is a wholly-owned subsidiary of the Company, whose goals are to apply large scale human genetics to identify new drug targets and to guide the development of therapeutics programs and precision medicine. Building upon Regeneron's strengths in mouse genetics and genetics-driven drug discovery and development, the RGC specializes in ultra-high-throughput exome sequencing, large scale informatics and data analysis encompassing genomics and electronic health records, and translating genetic discoveries into new biology and drug discovery opportunities. The RGC leverages multiple approaches including large population based studies, Mendelian genetics and family based studies, founder population genetics, and large-scale disease focused projects and has developed a network of over 50 collaborations with research organizations around the world. Including some of the largest sequencing studies in the world, such as the DiscovEHR study in collaboration with Geisinger Health System, and an initiative to sequence 500,000 participants with the UK Biobank, the RGC has built one of the largest human genetics databases, including sequence data from over several hundred thousand participants and rapidly growing. Our interests encompass a breadth of different areas across all therapeutic areas and the RGC is highly integrated into all facets of research and development at Regeneron. 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 providers of collaborating health-care systems, improving patient outcomes, and identifying novel targets for drug development.


The Head of Clinical Informatics will be a member of the leadership team at the Regeneron Genetics Center (RGC) whose goals are the application of large scale human genetics to identify new drug targets, guide the development of therapeutics programs, and identify genetic predictors of drug response. Primary responsibilities for the Head of Clinical Informatics include leading the structuring, processing, and provision of analysis ready large-scale clinical datasets for genetic analyses in the RGC; provision of datasets for clinical epidemiology studies will also be supported by this function as secondary responsibilities. The role will require extensive participation and collaboration in these analyses with the RGC's Analytical Genetics and Therapeutic Area Genetics teams. Responsibilities will include processing and harmonizing large-scale phenotypic data sets and supporting and collaborating with downstream analysis teams in the creation of custom clinical datasets supporting their analytical needs and project aims. The Head of Clinical Informatics will manage large-scale phenotypic datasets, including de-identified EMR extracts from external collaborators, case report forms and databases from disease focused studies with extensive clinical measurements and research-use phenotyping, and internal datasets from clinical trials and other human subject research from a worldwide network of collaborators. The role will also require evaluating new clinical datasets and data sources and ensuring provision of analysis-ready data in accordance with the RGC's data standards and requirements. It will also entail managing RGC's current phenotypic datasets, regular updates from collaborators, and integration of data across collaborators and cohorts in unified data structures. The position will involve working with a team of informaticians, clinical scientists, and analysts/programmers to structure and mine clinical and phenotypic data. Responsibilities will also involve the definition, configuration, and maintenance of pipelines and tools for processing phenotypic data and browsers/interfaces for viewing and querying the data; this will entail extensive collaboration with RGC's Genome Informatics team and development support. The position will require coordination and collaboration with other functional area heads within the department, research and clinical scientists at Regeneron, and external collaborators.

• Coordinate and collaborate with external collaborators in the review of phenotypic datasets for new collaborations and provide specifications and requirements for clinical datasets, including data formats and accompanying data dictionaries.
• For ongoing collaborations involving large scale EHR datasets (and other longitudinal datasets), coordinate and manage the process of data extraction, curation, provision and regular updates. Provide specifications and requirements for provision of data, extraction of additional data fields from ancillary data-sources (i.e. department specific data sources or registries), and frequency of updates for new and interval data.
• Lead internal efforts to QC, clean, harmonize, and prepare phenotypic datasets for downstream analysis teams, including Analytical Genetics and Therapeutic Area Genetics teams. Collaborate with these teams in the processing, modeling, and curation of phenotypic datasets for analysis, including trait transformations, heuristics for case/control definitions, and the development of custom phenotypic algorithms; the final deliverable of such efforts is the provision of analysis ready phenotypic datasets to RGC analysis teams.
• As the RGC has established collaborations with over 50 institutions around the world and continues to grow, a major responsibility moving forward will be the integration of datasets across collaborators and data sources. Key responsibilities will include integrating phenotypic traits and variables (diagnoses, laboratories, medications, procedures, etc) across multiple EHR systems and establishing common data models and ontologies, as well as analysis ready datasets.
• Establish detailed and complete documentation and SOPs covering all phenotypic datasets, including data dictionaries, specifications for modeling of traits, and custom phenotypic algorithms.
• In collaboration with Genome Informatics (providing development and infrastructure support), guide, coordinate, and provide specifications for tools, pipelines, and browsers to support broad use of clinical data by Regeneron scientists. Requirements for this role will involve continued efforts to incorporate and harmonize data for use in these tools and provide requirements defining additional and evolving functionalities for these tools and browsers.
• Support teams in Regeneron's Clinical Development and Regulatory Affairs unit, as well as Health Economics Outcomes Research, who leverage these datasets for their analysis. Support will entail provision of datasets in similar formats as used by the RGC and enabling scientists and analysts in this groups to leverage RGC datasets for their aims and analyses.
• Communicate and report findings to colleagues, senior management, and external collaborators.
• Manage and grow a Clinical Informatics team consisting of informaticians, clinicians, analysts, and other required staff. Hire, train, and develop talent and leaders.
• Develop department goals, as well as team and individual development goals. Contribute to the development of RGC goals, culture, and strategy.

• MD required. Qualified candidates should have relevant training (or years of experience) in computational biology, computer science, biomedical informatics, or clinical informatics fields. Experience working closely with human genetics and bioinformatics investigators is a requirement.
• Minimum of 5 years of managerial experience and providing scientific and strategic leadership to a mid- to large-sized team in a collaborative research organization.
• A minimum of 5 years of experience in clinical informatics with extensive hands-on experience with EHR data analytics. At least 5 years of experience in clinical informatics and EHR data analytics.
• Extensive familiarity with data mining, clinical databases, hospital health informatics databases including EPIC, Cerner, and other EHR (electronic health records) databases. Extensive Familiarity with clinical data standards, ICD, SNOMED, and other standard clinical phenotypic vocabularies and mapping, and clinical data warehouse architecture/administration.
• Experience with HIPAA compliance standards and experience with IRB protocols around use of EMR data.
• Involvement in and use of large scale EHR data analysis, such as Health Care Systems Research Network (previously named the HMO Research Network), eMERGE, UK Biobank, or others.

This is an opportunity to join our select team that is already leading the way in the Pharmaceutical/Biotech industry. Apply today and learn more about Regeneron's unwavering commitment to combining good science & good business.

To all agencies: Please, no phone calls or emails to any employee of Regeneron about this opening. All resumes submitted by search firms/employment agencies to any employee at Regeneron via-email, the internet or in any form and/or method will be deemed the sole property of Regeneron, unless such search firms/employment agencies were engaged by Regeneron for this position and a valid agreement with Regeneron is in place. In the event a candidate who was submitted outside of the Regeneron agency engagement process is hired, no fee or payment of any kind will be paid.

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.

Requisition Number: 10651BR