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# Associate Manager Next-Generation Sequencing (NGS) Data Analysis

- **Company:** Regeneron
- **Location:** Tarrytown, NY, United States
- **Experience:** Starter
- **Salary:** $109,900.0 - $179,300.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Bioinformatics, Data Structures, Simple Data Format, Information Technology
- **Published:** September 10, 2026
- **Apply:** https://www.administrativejobs.com/job.asp?id=3385142018&tx=DT11505UTD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Master's (PhD preferred) in Bioinformatics or equivalent
 * 0-3 years of experience in sequencing informatics methodology, including base calling, read mapping, and variant calling algorithms and software.
 * Experience with large-scale multi-omics data types, including DNA-seq (short and long read), RNA-seq, proteomics, methylation.
 * Expert fluency in state-of-the-art bioinformatic tools and standards.
 * Demonstrated engagement in the sequencing bioinformatics community.
 * Experience creating or adapting novel bioinformatic data structures and file formats to improve actionability.

## Description

* Lead the integration of state-of-the-art and novel methods to create multi-omics informatics best-practices that increase value from RGC samples by lowering data requirements and leveraging RGC's unique data resources
 * Identify opportunities that combine multiple sequencing modalities (e.g., short-read, long-read, capture, genome, depth-based) to increase the actionability of RGC sequencing deliverables
 * Inform development of novel sequencing informatics protocols to support multi-omics applications on existing and new sequencing platforms, including DNA-seq, RNA-seq, long-read sequencing, and proteomics
 * Support RGC's joint development efforts with technology partners (e.g. NVIDIA, Google Brain) to improve base-calling, read mapping, variant calling and harmonization through bioinformatics R&D
 * Collaborate with RGC's Genomics R&D, Engineering and Production teams to deploy novel methods into the RGC's Enterprise Research environment as industry-quality software


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