Manager, Predictive Analytics

Relha LLC

Village of Tarrytown (NY)

On-site

USD 150,000 - 210,000

Full time

14 days+
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Job summary

Regeneron Genetics Center seeks a Senior Manager of Predictive Analytics to lead analyses of proteomic and genomic data, focusing on aging and age-related diseases. You will build scalable data pipelines, harmonize data across cohorts, and communicate findings to leadership.

Collaborate with cross-functional teams to turn insights into actionable projects, while advancing disease prediction methods and ensuring reproducibility and high data quality.

Qualifications

  • PhD in a relevant field and at least 3 years of experience analyzing large-scale genomics data (or a bachelor’s degree with 8+ years of experience).
  • Experience with data harmonization/normalization across cohorts and data quality controls.

Responsibilities

  • Plan, develop, and execute large-scale analyses of proteomic and genomic datasets focusing on aging and age-related diseases.
  • Develop methods for data harmonization and normalization across cohorts for reproducibility.
  • Evaluate statistical methods for disease risk prediction and develop new methods if needed.
  • Translate disease prediction needs into concrete project proposals and budgets.
  • Stay informed on market trends in disease prediction and genomics applications to refine research directions.
  • Deliver clear presentations of genomics and proteomic findings to leadership and stakeholders.
  • Design, implement, and optimize data pipelines for high-throughput genomic/proteomic workflows.
  • Develop and integrate robust QC measures at multiple analysis stages to ensure data accuracy.

Skills

Genomics
Proteomics
Predictive analytics
Data analysis
Communication
Interpersonal skills
Cross-functional collaboration
Project leadership

Education

PhD in human genetics / statistics / computational biology
Bachelor's degree + 8 years relevant experience

Tools

Job description

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. 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 be expected to work productively in a collaborative, team working environment.

When & where:
Work model/flexibility: 4 days onsite
Discover your role:

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

Ability to provide data to internal, external, and non-scientific audience

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.

This role requires:

A 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

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. 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.

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 on‑site.

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.

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