Manager, Clinical Informatics
Company: Regeneron Pharmaceuticals, Inc.
Location: Tarrytown
Posted on: July 12, 2025
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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 a Manager,
Clinical Informatics, a typical day might include : 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. 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. 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. 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: An
outstanding candidate will have an advanced degree in Computer
Science, Health Informatics, Clinical Informatics, Biostatistics,
or a related field. Experience in organizing and processing rich
datasets is expected. 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. Ability to summarize and distil
results concisely. Excellent oral presentation and writing 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 3 years of relevant experience organizing large
datasets in a research setting, whether in academia or industry,
highly preferred. LI-hybrid RGCAG 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) $126,700.00
- $206,900.00
Keywords: Regeneron Pharmaceuticals, Inc., Waterbury , Manager, Clinical Informatics, IT / Software / Systems , Tarrytown, Connecticut