Associate Manager Next-Generation Sequencing (NGS) Data Analysis
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Role details
Tech stack
Job 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
Requirements
- 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.
Benefits & conditions
Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/ . For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.
Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about on-site expectations for your role and location.
As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.
For jobs in Canada: this posting is for an existing position.
Salary Range (annually)
$109,900.00 - $179,300.00
About the company
The Regeneron Genetic Center’s (RGC) Genome Informatics team is looking for an Associate Manager of Sequencing Informatics Research to serve as the lead scientist and developer for the RGC’s Sequencing Informatics research initiatives. This individual will contribute to development and design of sequencing informatics methods and protocols for new and existing multi-omics platforms, including PacBio, Illumina, Olink, and Ultima. These efforts will be driven by the goal to maximize value from RGC samples and data.
Working closely with the Sequencing & Lab Operations and Production Informatics teams, this role will also assist the methods engagement with RGC’s technology partners to on-board new sequencing and informatics platforms and ensure they can meet the RGC’s unique scaling and analysis needs.
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