Senior Manager, Predictive Analytics

Regeneron Pharmaceuticals • Tarrytown, GA

1d • Onsite

About The Position

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 mush 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. In this role, a typical day might include the following: 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 might be for you if have : Demonstrated expertise in statistics, machine learning and predictive analytics applied to biological data. Demonstrated aptitude for translating research results into products or prototypes Proven ability to independently lead and manage research projects from conception to completion. Excellent communication and collaboration skills, with a track record of working effectively in interdisciplinary teams Demonstrated ability to present data, insights, and recommendations effectively to stakeholders at all levels of the organization To be considered for this role, we require: A PhD in a relevant field (e.g., human genetics, statistics, computational biology, or related disciplines) and at least five years of experience analyzing large-scale genomics data, or a bachelors 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 Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other countries’ specific benefits, please speak to your recruiter. Please be advised that at Regeneron, we believe we are most successful and work best when we are together. For that reason, many of Regeneron’s roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regeneron’s on-site policy and expectations for your role and your location. 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, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $150,500.00 - $245,500.00 Regeneron is a leading biotechnology company that invents life-transforming medicines for people with serious diseases. Founded and led for over 30 years by physician-scientists, our unique ability to repeatedly and consistently translate science into medicine has led to nine FDA-approved treatments and numerous product candidates in development, almost all of which were homegrown in our laboratories. Our medicines and pipeline are designed to help patients with eye diseases, allergic and inflammatory diseases, cancer, cardiovascular and metabolic diseases, neurology, infectious diseases and rare diseases. Regeneron is also proud of award winning culture of innovation, being recognized as a Great Place to Work in 2021, Fast Company’s Best Workplace for Innovators in 2020, and Forbes JUST companies in 2020, among others.

Requirements

• A PhD in a relevant field (e.g., human genetics, statistics, computational biology, or related disciplines) and at least five years of experience analyzing large-scale genomics data, or a bachelors degree with at least 8 years of relevant experience.
• Demonstrated expertise in statistics, machine learning and predictive analytics applied to biological data.
• Demonstrated aptitude for translating research results into products or prototypes
• Proven ability to independently lead and manage research projects from conception to completion.
• Excellent communication and collaboration skills, with a track record of working effectively in interdisciplinary teams
• Demonstrated ability to present data, insights, and recommendations effectively to stakeholders at all levels of the organization

Nice To Haves

• 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

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
• 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.

Benefits

• health and wellness programs (including medical, dental, vision, life, and disability insurance)
• fitness centers
• 401(k) company match
• family support benefits
• equity awards
• annual bonuses
• paid time off
• paid leaves (e.g., military and parental leave)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree