Associate Manager Clinical Research Informatics
Company: Regeneron Pharmaceuticals, Inc.
Location: Tarrytown
Posted on: March 25, 2026
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Job Description:
The Regeneron Genetics Center uses genetics and health data on
millions of people to advance our understanding of human disease
and guide Regenerons therapeutic programs. You will help us to
organize, analyze and interpret health information aggregated from
electronic health records, surveys, digital devices, and laboratory
assays from multiple collaborators. This will require developing
and implementing standards for health data as well as code
repositories, pipelines and analysis tools that facilitate
interacting with data. You will need expertise in organizing and
structuring large and complex datasets as well as top-notch
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. You
will participate in the downstream analysis using machine learning,
genomics, and epidemiology. This will be a dynamic, challenging
position with lots of work and lots of opportunities. As an
Associate Manager Clinical Research Informatics, a typical day
might include : Developing and maintaining 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. Developing the
tools and code that will transform electronic health records,
surveys, laboratory assays, or digital device data into a
harmonized tall and narrow 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, Polars, NumPy, scikit, and others.
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. Discussing the challenges and
opportunities of using health data from electronic health records,
surveys, digital devices , and laboratory assays to characterize
human health and disease. Expertise in cutting-edge statistical
methods for epidemiology is a definite plus. Working 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. 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. Working in a highly
interactive environment with a 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: 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. Understanding strategies for mapping
structured and unstructured data to ontologies such as ICD-10,
RxNORM and LOINC. 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. To be considered for this position you
should have a PhD (or MS with additional years in lieu) in Computer
Science, Health Informatics, Clinical Informatics, Biostatistics,
or a related field with at least 0-2 years of relevant experience
organizing large datasets in a research setting, whether in
academia or industry, highly preferred. Does this sound like you?
Apply now to take your first step towards living the Regeneron Way!
We have an inclusive culture that provides comprehensive benefits,
which vary by location. In the U.S., benefits may include health
and wellness programs (including medical, dental, vision, life, and
disability insurance), fitness centers, 401(k) company match,
family support benefits, equity awards, annual bonuses, paid time
off, and paid leaves (e.g., military and parental leave) for
eligible employees at all levels! For additional information about
Regeneron benefits in the US, please visit
https://careers.regeneron.com/en/working-at-regeneron/total-rewards/.
For other countries specific benefits, please speak to your
recruiter. Please be advised that at Regeneron, we believe we are
most successful and work best when we are together. For that
reason, many of Regenerons roles are required to be performed
on-site. Please speak with your recruiter and hiring manager for
more information about Regenerons on-site policy and expectations
for your role and your location. 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) $108,300.00
- $176,700.00
Keywords: Regeneron Pharmaceuticals, Inc., Wayne , Associate Manager Clinical Research Informatics, IT / Software / Systems , Tarrytown, New Jersey