Associate Manager, Statistical Genetics and Machine Learning

We are seeking a talented scientist to join the Statistical and Machine Learning team at the Regeneron Genetic Center (RGC). The mission of the team is to develop new methods and implement pipelines that extract the most value from large scale sequenced and deeply phenotyped individuals in order to make new drug target discoveries and support existing targets. The Regeneron Genetics Center houses one of the world’s largest and most complete datasets on human genetics in the world. This is a fantastic opportunity to join an inspiring and talented team that is at the forefront of statistical genetics and machine learning for drug discovery and translational genetics.
 

The rapid growth in sequencing datasets at the RGC comes with many new challenges from a methods perspective. The scale at which analysis is carried out necessitates we provide state-of-the-art methods that are computational efficient, statistically powerful, robust and flexible. In addition, the complexity and depth of our phenotype data is increasing, and we increasingly have available imaging on our sequenced subjects. Your role will be to help develop new methods, test existing methods and implement user friendly pipelines that extend the analytical tool kit of the RGC. You will work together with the inclusive and multidisciplinary teams and colleagues at the RGC and Regeneron to support findings into new biological insights.
 

In this role, a typical day might include the following:

• Develop new statistical and machine learning approaches, data processing pipelines and establish internal data practices that can be applied to datasets with millions of sequenced samples.

• Part of this role will involve working closely with our imaging ML team who work to extract phenotypes from medical images. This could involve some direct machine learning projects with images (using deep learning) or down-stream analysis of derived phenotypes in GWAS and ExWAS studies and mining results.

• You will closely collaborate with other groups in the RGC to develop user friendly pipelines and to support users in applying methods in ongoing studies.

• Trial blue sky ideas.

• Generate, summarize and present results in internal and external meetings to a variety of audiences.

• Deliver reliable analyses across projects in a dynamic, high-pace and creative working environment.

• Contribute to the writing of scientific reports and publications.

This Job Might Be For You If You Have

• A strong work ethic and are proactive in providing solutions, foster scientific collaborations and drive projects forward.

• Demonstrable experience with a variety of methods and tools from the fields of statistical genetics or statistical machine learning, and ideas to move this field forward.

• A reasonable understanding of the methodological aspects and approaches involved in GWAS and ExWAS.

• Experience with setting up a codebase for human genetic studies in a high-performance computing environment.

• Experience of programming languages such as C++/C and Python that can be used to build highly efficient code bases.

• An interest or experience in working with imaging data.

To be considered for this role, you must have:

• At least a PhD in Statistical Genetics, Machine Learning, Imaging Analysis, Human (Population) Genetics, Genetic Epidemiology, Computer Science, Computational Biology or a related field.

• 0-2 years experience in developing software and/or pipelines with programming language like Python or C++.

• Experience with tools and analysis for carrying out genetic association studies and/or analysis of large scale datasets and/or imaging datasets.

• It would be desirable to have experience building and executing pipelines on an HPC or cloud infrastructure.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels!

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 commun