Manager, Computational Genomics (Regeneron Genetic Center)

We are seeking a Manager, Computational Genomics, who can help develop and maintain applications and pipelines to analyze and interpret millions of sequenced and deeply phenotyped human samples. To enable Regeneron to deliver better medicines to patients, we must empower our scientists to efficiently generate and interact with analysis results from massive human genetics experiments. You and your team will deliver high quality and flexible tools that help scientists perform large scale genomic analysis and explore and interpret their results.  A proven track record of implementing web applications and pipelines in a cloud-based computing environment (such as Amazon Web Services or Google Cloud Platform) is essential for this role.

As a Manager Computational Genomics, a typical day may include:

• Design and implement pipelines and applications to fit users’ needs based on shifting state-of-the-art genetic analysis methods, opportunities and priorities.
• Modernize and optimize existing code bases to improve performance and create scalable, portable, unit tested code.
• Create novel, optimized, production-level pipelines and applications for performing many aspects of multi-omics data processing and analysis.
•   Interact with other developers in the team and work together on high-priority tasks.
• Provide user support by answering questions, understanding specific use cases, fixing bugs, and writing documentation.
• Communicate with, brainstorm new ideas with, and collect feature requests from a variety of colleagues who are experts in analysis methods or are users of the tools you are developing.

This role could be for you if you:

• Enjoy developing tools and solving challenging problems to aid scientists in performing creative analysis.
• Have a proven record of implementing scalable software tools, applications and workflows and in a cloud-based computing environment.
• Enjoy directly interacting with users to identify and develop solutions for their needs.
• Have a familiarity or strong interest in statistical genetics, human genetics, software development or computational genomics.
• Can effectively communicate methods and present code to a variety of technical audiences.
• Enjoy working in a highly interactive environment with a diverse team of colleagues.

To be considered for this role, you must have:

• At least a Masters degree in Computer Science, Bioinformatics, Biomedical Engineering, or related field with 6 years of relevant experience in Computational Biology or a related field. A Doctoral degree in Computer Science, Bioinformatics, Biomedical Engineering, or related field is also encouraged.
• Experience executing workflows in a cloud infrastructure (e.g. AWS, GCP, DNAnexus) using a workflow language (e.g WDL, Nextflow, snakemake) and software containerization (Docker)
• Familiarity with many standard bioinformatics tools (e.g. PLINK2, HTSlib, tabix, VCFtools, Picard) and data formats (e.g. VCF, BED, BGEN)
• Expertise in developing software and/or pipelines with a high-level programming language like Python.
• Experience in developing web applications and/or REST API with python (e.g. Flask or FastAPI).
• Experience working on a Linux/UNIX command line and SQL database.

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 a