Associate Director, Clinical Informatics

Associate Director, Clinical Informatics and Data Sciences

The Regeneron Genetics Center uses genetics and health data on millions of people to advance our understanding of human disease and guide Regeneron's therapeutic programs. You will lead our efforts to organize health information aggregated from electronic health records, surveys, digital devices, and laboratory assays from multiple collaborators.

You will need expertise in organizing and structuring large and diverse datasets as well as top-notch software engineering and orchestration skills. You will be responsible for the design of data structures that store health data. You will architect the code and processes that populate, validate, and analyze these data. You will participate in the downstream analysis using machine learning, genomics, and epidemiology.

A Typical Day Might Include:

2. Identifying courses, projects, and resources that facilitate the professional development and growth of your team members, with the goal of growing their knowledge of clinical informatics, computer science, data engineering, epidemiology, and collaboration.

3. Reviewing the structure, content, and quality of phenotype data extracted from electronic health records, surveys, digital devices, or laboratory assays. Each of these datasets may include data on 100,000s of people and require coordination and input from multiple stakeholders with varied expertise.

4. Architecting, developing, and testing the tools and code that will transform electronic health records, surveys, laboratory assays, or digital device data into a harmonized format compatible with RGC analytical tools, applications, and processes. You and your team will probably be writing and updating code in Python and using associated data science libraries, such as pandas, Polars, NumPy, scikit, and others.

5. Architecting, developing, and testing a toolkit with key functions, APIs, and summaries that help users understand, interpret, and interact with phenotype data. In addition to Python, knowledge of R, SQL, and/or C is a definite plus.

6. You will work with modern cloud environments and platforms. Experience with AWS, data processing, relational databases, and related toolkits will be useful for your day-to-day work. You will be using your computational skills to architect and execute analysis and data processing at scale and to facilitate automation and repeatability of all key processes.

7. You will be presenting results and summaries of these datasets and data processing plans to a variety of technical audiences, ranging from experts in statistics, epidemiology, genetics, and computation to experts in biology, drug design, and medicine. You will need outstanding communication skills and an ability to summarize and present to a variety of technical audiences.

8. You will work in a highly interactive environment with a diverse team of colleagues. We highly value the ability to interact, learn, and teach so that you and other skilled individuals consistently achieve high levels of motivation, enthusiasm, and performance.

This Role Might Be For You If:

1. An outstanding candidate will have an advanced degree in Computer Science, Health Informatics, Clinical Informatics, Biostatistics, or a related field. 5-10 years of experience in organizing and processing rich datasets is expected.

2. A demonstrated knowledge of Python and key data science libraries is a must. Knowledge of R, SQL, and/or C/C is also highly valued. If you have contributed to code in GitHub or another public repository, let us know.

3. You have a passion for teaching others and helping your team grow. We expect our people managers to make their teams better.

4. Understanding strategies for mapping structured and unstructured data to ontologies such as ICD-10, RxNORM, and LOINC.

5. Knowledge and experience applying best practices for data quality control, summarization, and visualization.

6. You have a passion for learning. We are a fast-moving team in a fast-moving company. You should expect to encounter challenging work and to learn many new skills.

7. You have the ability to summarize and distill results concisely. Excellent oral presentation and writing skills are essential.

To be considered for this position, you should have a PhD (or MS with additional years in lieu of) in Computer Science, Health Informatics, Clinical Informatics, Biostatistics, or a related field with 7 years of demonstrated experience organizing large datasets in a research setting, whether in academia or industry, is expected.