Associate Manager, Clinical Informatics & Data Science

Associate Manager, 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 help us develop informatic tools to organize, visualize, and assess and interpret health information aggregated from electronic health records, surveys, digital devices, and laboratory assays. This will require coordination with data consumers and writing reusable code, pipelines and tools. You will need to understand how large and diverse datasets are structured as well as software engineering and orchestration skills. You will help design data structures that store health data. You will implement the code and processes that populate, validate, and analyze these data. This will be a dynamic, challenging position with lots of work and lots of opportunities for advancement.

A typical day might include:

• Writing code to validate, structure, and transform phenotype data that we receive from collaborators. As you process each of these data sets, you will be expected to coordinate multiple stakeholders with diverse expertise.

• Maintaining a code library for basic data processing and quality checks, gradually extending this library to accommodate richer and more varied data sources. You should be familiar with Python, with source control and with unit tests.

• Developing 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 will probably be writing and updating code in Python and using associated data science libraries, such as pandas and polars.

• Develop and maintain a toolkit with key functions, APIs, and summaries that help users understand, interpret, and interact with the data you are structuring. In addition to Python, knowledge of R, SQL and/or C++ would be a definite plus.

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

• 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.

• 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:

• You are comfortable writing Python code and are excited to play a role in helping organize and analyze health data on millions of people.

• You have a Bachelor or Master degree in Computer Science, Health Informatics, Clinical Informatics, Biostatistics, or a related field (or expect to graduate in 2025). Experience in organizing and processing rich datasets is expected.

• A demonstrated knowledge of key data science libraries in Python 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.

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

• 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.

• Ability to summarize and distil results concisely. Excellent oral presentation and writing skills.

To be considered for this position you should have a minimum Bachelor's Degree with 1+ year of relevant work/research or internship experience. Expertise writing Python code and in data processing or data analytic tasks.  Previous experience organizing large datasets in a research setting, whether in academia or industry, highly preferred.

This position will be based in Westchester County, New York.

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, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels!

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.

For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions.  For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.

Please note that certain background checks will form part of the recruitment process.  Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.

Salary Range (annually)