Bioinformatics Scientist (Computational Genomicist/Biologist)

The Regeneron Genetics Center uses human genetics to gain insights into disease mechanisms, identify novel therapeutic targets, and ultimately improve drug discovery and development to help patients in need. We are looking to hire an enthusiastic and motivated Computational Geneticist/Biologist to join the Computational Biology group in the Genome Informatics and Data Engineering Team. You will focus on developing methods to understand the effect of variants on gene function, efficient tools for high-throughput annotation and large-scale data mining of genetic variants.

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

• Create workflows and tools to enable large scale annotation of genetic data.
• Develop new machine-learning methods for variant interpretation as well as implement published state-of-art variant prediction methods. Understanding loss of function variants and human knockouts will be a high priority
• Develop methods for variant interpretation based on integration of various external and internal functional genomics data (RNASeq, ChIP-Seq etc.)
• Build computational frameworks for large scale functional screening to complement variant interpretation efforts
• Use machine learning and other data mining methods to integrate genetic data with annotation resources to provide insights into gene function
• Keep abreast of emerging methods in computational biology and applications for novel omics technologies.

This job might be for you if:

• Bring innovative thinking to large-scale genetic variant analysis
• You have a strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward within Regeneron
• Value teamwork and team excellence

To be considered for this role, you must have a PhD in computational biology/genomics, bioinformatics, computer science, human genetics or related fields. Experience in Python, R, and/or C/C++. Strong programming skills with ability to write clean, robust and scalable code. Experience with machine-learning methods for variant and gene function interpretation. Knowledge of bioinformatics tools, databases, and approaches to support genetics driven drug discovery programs. Familiarity with genetics and biochemistry concepts, protein 3D structure analysis, graph theory and graph neural networks. Experience with Spark or other distributed computing frameworks, SCALA, Javascript, interactive data visualization methods and tools is desirable.

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.