Sr Scientist, Bioinformatics (Genetic Medicines)

The Molecular Profiling and Data Science Department at Regeneron is looking for an enthusiastic and motivated Computational Scientist who values independent research in an open and collaborative work environment. You will lead algorithmic development and bioinformatic efforts that help the Regeneron Genetic Medicines group create next generation therapies in gene editing, gene suppression, gene expression, and gene insertion. In this role, you will work on projects that use cutting-edge technologies like AAVs, shRNAs, siRNAs, LNPs, and CRISPR-Cas9 to treat or cure diseases. You will design synthetic cell type-specific promoters and analyze RNA-seq and other omics data to characterize our therapies. Our department consists of computational scientists with backgrounds ranging from genomics to machine learning, as well as wet-lab NGS technology developers with plenty of sequencing capacity. Beyond our group, you will collaborate closely with scientists in Regeneron Genetic Medicines and other departments to create genetic therapies in a wide range of disease areas, including hemophilia, lysosomal storage disorders, metabolic diseases, and hearing loss, that directly impact the lives of patients.

As a Sr. Scientist, Bioinformatics, a day might include the following:

• Developing algorithms using concepts in transcriptional regulation, synthetic biology, and machine learning to design new promoters in AAV payloads for cell type- and tissue-targeted expression.

• Leading computational biology efforts in genetic medicines by analyzing RNA-seq data to understand drug mechanism, efficacy, biodistribution, and immunological response.

• Building tools to characterize RNA transcripts using long-read sequencing.

• Discovering new nucleic acid modifying enzymes by mining metagenomic datasets.

• Collaborating extensively with wet-lab biologists to design the best experiments and NGS readouts.

• Contributing to regulatory submissions.

• Publishing and presenting novel findings in patents, conferences, and peer-reviewed journals.

This job might be for you if you:

• Want to contribute to the advancement and design of next generation genetic therapies and help shape computational tools used by a rapidly growing part of the company.

• Have a strong computational background and enjoy creating new methods.

• Like working at the interface between computation and experiments.

• Like diving deep into data, including analyzing raw NGS reads.

• Have a curious mindset, pay strong attention to detail, and challenge conventional wisdom.

• Can effectively communicate with collaborators from various backgrounds and value teamwork.

• Want opportunities to showcase and publish your work.

To be considered for this role, you must have a PhD degree in Computational Biology, Systems Biology, Quantitative Biology, Bioinformatics, Computer Science, Applied Mathematics, Bioengineering, or related quantitative fields. You must also have experience conducting bioinformatics analysis at either the gene or sequence level, have experience with developing new computational methods, and have a strong background (3+ years) in R and/or Python. Previous experience or familiarity with NGS technologies and experimental wet-lab molecular biology is highly desirable. Familiarity with a Linux environment, shell scripting, and high-performance computing clusters is a plus. Experience with machine learning on biological problems is also highly valued.

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