Manager, Predictive Analytics

We are seeking a highly motivated and talented Senior Manager of Predictive Analytics to join the Regeneron Genetics Center (RGC) to pioneer clinical use cases for proteomic and genomic data.

About the role

In this role, you will develop and apply predictive models on the world’s largest integrated datasets of genomics, proteomics, and electronic medical records. The role involves partnering with cross-functional teams, including Business Development, Laboratory staff, and other scientific groups, to foster collaboration and advance key initiatives. The candidate must have the ability to influence, with strong interpersonal skills. Excellent communication and interpersonal skills are also required as this candidate will work productively in a collaborative, team-oriented environment.

Location: Tarrytown, NY. Work model: 4 days onsite.

Responsibilities

• Plan, develop, and execute large-scale analyses of proteomic and genomic datasets, with an emphasis on aging and age-related diseases.
• Develop and implement methods for data harmonization and normalization across distinct cohorts to ensure consistency and reproducibility of results.
• Evaluate statistical methods for disease risk prediction, and if necessary, develop new methods.
• Turn disease prediction needs from other teams and collaborators into concrete project/budget proposals.
• Stay informed on emerging market trends in disease prediction and applications of genomics data to continuously refine research directions.
• Deliver clear and concise presentations of genomics and proteomic findings to leadership, ensuring alignment with organizational goals and priorities.
• Provide data to internal, external, and non-scientific audiences.
• Design, implement, and optimize data pipelines for high-throughput genomic and proteomic workflows, ensuring efficient processing of large-scale proteomic datasets.
• Develop and integrate robust quality control (QC) measures at multiple stages of analysis pipelines to ensure data accuracy, consistency, and reproducibility.

Requirements

• PhD in a relevant field (e.g., human genetics, statistics, computational biology, or related disciplines) and at least 3 years of experience analyzing large-scale genomics data, or a bachelor’s degree with at least 8 years of relevant experience.
• Candidates with prior industry experience are preferred.
• Experience in exploratory data analysis, applied statistics, or software engineering is preferred in one or more of these domains.

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.

Pay

Salary Range (annually): $128,600.00 – $210,000.00.