Manager, Applied AI, Advanced Informatics

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

Benefits offered by this job

Annual bonuses

Equity awards

Pension/retirement benefits

401(k) company match

Health and wellness programs

Fitness centers

Insurance benefits

Paid time off

Family support benefits

Job summary

Regeneron is seeking a Manager, Applied AI to join the Advanced Informatics team. You will design and validate AI/ML solutions for health data, collaborating with clinical informaticists, data engineers, and production ML engineers to build reusable analytical capabilities.

The role involves framing informatics challenges, building ML pipelines, running experiments, and applying cutting-edge techniques to biomedical data while contributing to internal reports and publications.

Qualifications

• Degree in a relevant field and advanced degree preferred.
• Experience designing and evaluating AI/ML models on health data.
• Ability to independently develop and evaluate models.

Responsibilities

• Frame informatics challenges into AI/ML problems with clear success criteria.
• Design and build ML pipelines for data ingestion, feature engineering, training, evaluation.
• Run experiments and ablation studies to guide modeling decisions.
• Collaborate across teams to deploy models into workflows.
• Stay updated on foundation models and retrieval-augmented generation for biomedical data.
• Document research findings for reports, publications, or conference presentations.
• Explain model behavior and performance to technical and non-technical stakeholders.

Skills

Python

ML frameworks

NLP

Multimodal models

Experiment tracking

Cloud ML

Model deployment

Education

Bachelor’s degree in Computer Science/ML/DS/biomedical informatics/statistics

Tools

PyTorch

TensorFlow

MLflow

Weights & Biases

DVC

AWS SageMaker

GCP Vertex AI

Azure ML

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

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
• family support benefits

For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process.

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)

$150,500.00 - $245,500.00