Associate Manager, Predictive Analytics

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.
- Evaluate statistical methods for disease risk prediction, and develop new methods as needed.
- Stay informed on emerging trends in disease prediction and applications of genomics data to refine research directions.
- Deliver clear, concise presentations of genomics and proteomic findings to leadership.
- Provide data to internal, external, and non-scientific audiences.
- Design, implement, and optimize data pipelines for high-throughput genomic and proteomic workflows.
- Develop and integrate robust quality control (QC) measures at multiple stages of analysis pipelines.

Qualifications (To Be Considered For This Role, We Require):
- PhD in a relevant field (e.g., human genetics, statistics, computational biology, or related), or a Bachelor’s degree with at least 4 years of experience analyzing large-scale genomics datasets.
- Prior industry experience preferred.
- Experience in exploratory data analysis, applied statistics, or software engineering preferred.

Skills / Role Might Be For You If You Have:
- Expertise in statistics, machine learning, and predictive analytics applied to biological data.
- Ability to translate research results into products or prototypes.
- Ability to independently lead and manage research projects from conception to completion.
- Excellent communication and collaboration skills; track record working in interdisciplinary teams.
- Ability to present data, insights, and recommendations effectively to stakeholders at all levels.

Application instructions:
- Apply now to take your first step towards living the Regeneron Way.