Assoc. Director, TAG - Clinical Informatics (Physician Scientist)

Regeneron Genetics Center is a wholly owned subsidiary of Regeneron Pharmaceuticals Inc. which is mission driven towards harnessing the power of human genetics to discover important new drug targets, validate existing research programs and optimize clinical trials. We are seeking a Physician Scientist in our TAG-CI (Therapeutic Area Genetics- Clinical Informatics) department to tap into the growing database of more than 2.5 million sequenced exomes and associated deidentified health information to make meaningful biological discoveries at speed and scale. The role requires strong research data management, healthcare ontologies and analytical skills to assess, validate and provide guidelines for creation of phenotypic assets that can be used in a standard and robust manner by the genetic teams. Working on projects to make approaches to internal and external collaborations both innovative and more streamlined, will be part of the portfolio. The ideal candidate would be a Physician Scientist with a strong research, programming skills with formal training in a biomedical informatics program.

A typical day may include:

• Understand analytical needs of a variety of therapeutic area researchers and translate them through queries on clinical databases, EHR datasets

• Support and develop phenotyping approaches through collaboration with Genetic and IT teams. This will include strategizing underlying database schema, defining pipelines for data streams and help define dashboards and tooling for creating phenotype assets

• Conduct data analysis, including mining and curating of phenotypic datasets with primary responsibility in developing and identifying complex clinical phenotypes and cohorts of interest for efficient data mining and association analysis in both phenotype first and genotype first queries

• Relevant to the role, the team's responsibilities encompass a broad range of tasks, including the acquisition, standardization, processing, and management of clinical data from diverse sources such as electronic health records, surveys, and health registries.

• Provide leadership and business acumen to influence RGC data users around common data management goals, vision, and values, including the adoption and expansion of a common data model

• Maintain close collaboration and coordination with external health system collaborators and informatics teams mining EHR and phenotypic data sets. Work with these collaborators to structure data and develop algorithms, rules engines, and querying tools to access and curate phenotypic datasets.

• Participate in an agile delivery process to own, research, and recommend new solutions

This role may be for you if:

• You have strong analytical skills.

• You have an eye for detail, thinking of scalability and overall emphasis operational excellence matters more than just finishing the tasks.

• You can multitask and manage simultaneous projects to meet deadlines with a strong attention to detail.

• You possess the ability to interpret and communicate analytical information in a clear, concise manner.

• You excel at managing relationships and projects involving diverse stakeholders. Ensuring that analyses are executed in a timely, accurate and reliable manner.

• You communicate findings clearly and document work for training and replication purposes.

To be considered for this role you must have a Medical degree with a minimum of 5-7 years of experience in biopharma, healthcare, life sciences, or a related field. At least 5-7 years of experience in managing and implementing data management and informatics solutions. A solid foundation in clinical informatics. An NLM-sponsored fellowship or an accredited master's degree or certification in informatics Is preferred. Involvement in relevant programs such as eMERGE, All of Us, Sync4Science or other such projects is a plus. Experience with OHDSI tools and the OMOP data models. Excellent coding and quantitative skills and overall familiarity with modern data technologies and cloud compute environments. Deep knowledge of clinical data standards such as ICD, RxNorm, SNOMED, and LOINC and other biomedical ontologies. Appreciation of nuances of clinical data from different sources (coding, structure, classification). Excellent understanding of epidemiology and different study designs. Basic understanding of human genetic discovery approaches.

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Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitne