Manager, Applied AI, Advanced Informatics

Build our future together:

At Regeneron we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking a Manager Applied AI to join our Advanced Informatics team supporting health data systems and analytical pipelines across the this role you will design and validate applied AI/ML solutions against complex health data and clinical ground truth while collaborating with senior applied AI leaders clinical informaticists data engineers and production ML engineers to build reusable analytical capabilities the broader informatics team depends on.
This position offers the opportunity to contribute to a fast-growing science-driven organization making a meaningful difference to patients worldwide.

When & where:
Location: Tarrytown NY Armonk NY or Warren NJ

Discover your role:
Frame clinical and business informatics challenges into well-scoped AI/ML problem statements with clear success criteria
Design and build ML pipelines data ingestion feature engineering training and evaluation alongside production engineering
Run experiments benchmarks and ablation studies to validate model performance and guide modeling decisions
Partner across clinical informatics data engineering and ML engineering to bring models into real informatics workflows
Track advances in foundation models LLMs and retrieval-augmented generation and apply them to biomedical and health data
Document research findings and contribute to internal reports publications or conference presentations
Explain model behavior limitations and performance in terms both technical and non-technical team members can act on

This role requires:
Bachelors degree in Computer Science Machine Learning Data Science Biomedical Informatics Statistics or related field; Masters or Ph.D. strongly preferred with 46 years of progressive experience in applied AI/ML with demonstrated ability to independently develop and evaluate models (Ph.D. graduates with relevant research experience may be considered)
Solid grounding in supervised unsupervised and self-supervised learning deep neural networks and modern ML frameworks (PyTorch TensorFlow or equivalent)
Strong Python skills across the scientific ML stack (scikit-learn HuggingFace Transformers pandas NumPy)
Experience designing and evaluating NLP or multimodal models including LLM fine-tuning or prompt engineering
Comfort with experiment tracking model versioning and reproducible research practices (MLflow W&B DVC or similar)
Familiarity with cloud-based ML infrastructure (AWS SageMaker GCP Vertex AI Azure ML or equivalent).
Experience with health or life sciences data EHR/EMR claims clinical notes genomic or imaging data
Familiarity with medical terminologies and ontologies (SNOMED CT ICD-10/11 LOINC RxNorm OMOP CDM)
Published work or open-source contributions in applied ML NLP or computational biomedicine
Experience with MLOps CI/CD for ML or model observability in production
Familiarity with federated learning privacy-preserving ML or regulated-environment data use agreements

#AAI

Does this sound like you Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. 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 sexual orientation gender identity or expression gender reassignment marital or civil partnership status civil status pregnancy or parental status age disability nationality citizenship status ethnic or national origin membership of the Traveler community familial status genetic information military or veteran status or any other characteristic protected under applicable law. Where required we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process unless such accommodation would impose undue hardship.

Where necessary we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment specific role level and your skills and some countries collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include depending on country and role: annual bonuses or other incentive plans equity awards pension or retirement benefits 401(k) company match health and wellness programs fitness centers insurance benefits (e.g. medical dental vision life and disability) paid time off and family support benefits. For additional information about Regeneron benefits in the U.S. please visit For other locations additional information will be provided during the recruitment process. If you have any questions please speak with your recruiter.

Please be advised that at Regeneron we believe we do our best work when we are together. For that reason many roles are required to be performed onsite. Please speak with your recruiter and hiring manager for more information about onsite expectations for your role and location.

As part of the recruitment process certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity right to work and educational qualifications.

For jobs in Canada: this posting is for an existing position.

Salary Range (annually)