Associate Director Clinical Informatics (Physician Scientist)

Regeneron Pharmaceuticals; United States; Remote; USD 100,000 - 125,000; Full time

Job summary

An established industry player is seeking a Physician Scientist to join their innovative TAG-CI department. This role focuses on leveraging a vast database of sequenced exomes to drive biological discoveries. The ideal candidate will possess strong research and programming skills, with a solid foundation in biomedical informatics. Responsibilities include translating analytical needs into actionable insights, collaborating with various teams to develop phenotyping approaches, and conducting in-depth data analysis. This position offers a unique opportunity to influence data management practices and contribute to groundbreaking projects in healthcare.

Qualifications

• 5-7 years of experience in biopharma, healthcare, or life sciences.
• Experience managing data management and informatics solutions.

Responsibilities

• Translate analytical needs into queries on clinical databases and EHR datasets.
• Support phenotyping approaches through collaboration with Genetic and IT teams.

Skills

Research Data Management

Analytical Skills

Programming Skills

Healthcare Ontologies

Data Analysis

Epidemiology Understanding

Education

Medical Degree

Master's Degree in Informatics

Tools

OHDSI Tools

OMOP Data Models

Cloud Compute Environments

Job description

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:

• Involvement in relevant programs such as eMERGE, All of Us, Sync4Science or other such projects.

• 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.

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. An NLM-sponsored fellowship or an accredited master's degree or certification in informatics is preferred.