R&D Data Analytics Engineer

The Regeneron Genetics Center’s Genome Informatics & Data Engineering R&D team is looking for a Data Analytics Engineer/Data Scientist to work at the interface of genomics, big data engineering, and ML/advanced analytics. The candidate will work on a team of engineers focused on designing modern, scalable, and production-quality analytical methods that integrate genomic and health data from millions of individuals. The candidate will work heavily within our Databricks/Apache Spark ecosystem on AWS, expanding the analytical tools and infrastructure designed to use our genomic and health data lake. The ideal candidate will have a passion for designing high performance methods that use modern data science, engineering, and compute architectures, with the goal of bringing the state-of-the-art in data science & engineering to the human genomic data domain. As part of the R&D team, this individual will have the opportunity to contribute innovative methods, pipelines, and infrastructure to both our internal systems as well as our open-source initiatives (eg. Project Glow), where our tools contribute to Regeneron’s drug development pipelines and push the state-of-the-art in large scale analytics for genomic health.

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

• Apply modern data mining and machine learning methodologies to our internal genetic and phenotypic data lake, maximizing distributed computing technologies to uncover insights to improve drug development efforts
• Engineer and productionize analytic/ML methods and pipelines capable of processing terabytes of genomic and clinical data
• Perform applied research, working on projects within and across scientific teams
• Contribute enhancements to internal data “browser” applications that enable Regeneron scientists to mine terabytes of RGC data for insights
• Interact and collaborate with other technical teams, including data engineers, data architects, application developers, and dev ops engineers
• Contribute to open-source initiatives including Project Glow (https://projectglow.io/)
• Keep abreast of state-of-the-art software engineering and data science technologies

• You have a passion to work with data in the health & life sciences domain.
• With your sleeves rolled up, you work on current problems while thinking of future solutions.
• You have excellent written and verbal communication skills with expertise in documentation and visual presentations.
• You enjoy collaborating with multiple cross-functional teams of scientists, analysts, and engineers.

To be considered for this role you must have a PhD or M.S. or B.S. with 5+ years of relevant experience in computer science, data mining, bioinformatics, data science, software engineering, or machine learning. Experience in developing scalable, high-performance analytics software, with a deep understanding of algorithm design principles and data processing pipelines. Knowledge of distributed and high-performance compute technologies, such as Spark, MPI, Dask, or other parallel computing frameworks. Domain knowledge in genomics, bioinformatics, or statistical genetics preferred, but not required. 3+ years of software engineering experience in a modern Object Oriented or Functional language. Knowledge of modern data infrastructure technologies, such as data lake/lakehouse, data warehousing, relational DB/SQL, NoSQL, etc. Experience with cloud computing (AWS preferred). Demonstrated experience in engineering scalable and performant data processing software in Spark or another distributed compute environment is a plus.

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Does this sound like you? Apply now to take your first steps toward living the Regeneron Way! We have an inclusive and diverse culture that provides amazing benefits including health and wellness programs, fitness centers and stock for 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 maternity status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. Please contact us to discuss any accommodations you think you may need. role.