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 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. Lead and contribute to the writing of scientific reports and publications .
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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 learnin, and ideas to move this field forward.
- A clear 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 and proficiency 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:
- A PhD in Statistical Genetics, Machine Learning, Imaging Analysis, Human (Population) Genetics, Genetic Epidemiology, Computer Science, Computational Biology or a related field. Postdoc experience is also desirable.
- Expertise in developing software and/or pipelines with programming language like Python or C++.
- 2+ years of experience with tools and analysis for carrying out genetic association studies and/or analysis of large scale datasets and/or imaging datasets.
- Experience with standard toolkits include PyTorch, JAX, TensorFlow, Keras, ScikitLearn.
- 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 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)