Manager, Applied AI, Advanced Informatics

BioSpace; Village of Tarrytown (NY); On-site; USD 151,000 - 246,000; Full time

Benefits offered by this job

Health and wellness benefits

Equity awards

Job summary

Regeneron is seeking a Manager, Applied AI to join the Advanced Informatics team in the United States. You will frame informatics challenges into AI/ML problems, design data pipelines, and validate models in collaboration with data engineers and clinical informaticists.

You will run experiments, compare models, and help deploy AI capabilities to informatics workflows while tracking advances in foundation models and retrieval-augmented generation for biomedical data.

Qualifications

• Advanced degree preferred with evidence of independent model development.
• Strong background in supervised, unsupervised and self-supervised learning.
• Experience with NLP or multimodal models and LLM fine-tuning.
• Experience with MLops, CI/CD for ML, and model observability.
• Familiarity with health data (EHR/claims) and biomedical terminologies.

Responsibilities

• 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 for biomedical data.

Skills

Applied AI/ML concepts

Python

Experiment tracking

NLP / multimodal models

Cloud ML platforms

Education

Master's or Ph.D. in a related field

Bachelor's in CS/ML

Tools

PyTorch

TensorFlow

MLflow

Weights & Biases

DVC

Job description

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 organization. In 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

Bachelor's degree in Computer Science, Machine Learning, Data Science, Biomedical Informatics, Statistics, or related field; Master's 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

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.

Salary Range (annually)

$150,500.00 - $245,500.00

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 experience.
• In 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.

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.