Associate Manager Next-Generation Sequencing Data Analysis

Regeneron

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Hybrid

Quick summary

Work type
Hybrid
Location
Tarrytown, NY
Salary
$109,900–$179,300 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $177k
This role $145k
$97k $233k
below market most similar roles pay here above market

This role pays less than 72% of similar roles. Most pay $140,412–$214,500 — the blue band above. At the midpoint, this role pays about $145k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Regeneron

Regeneron is a leading science-driven biotechnology company that invents, develops, and commercializes life-transforming medicines for serious diseases.

Regeneron currently has 69 open roles on FindRole.

Listed pay typically runs $134,400–$241,200 across 55 roles with salary data.

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At a glance

TL;DR · Associate Manager Next-Generation Sequencing Data Analysis

The Associate Manager Next-Generation Sequencing (NGS) Data Analysis joins the Genome Informatics team as the lead scientist and developer for sequencing informatics research initiatives. This role involves designing and developing sequencing informatics methods and protocols for multi-omics platforms, including PacBio, Illumina, Olink, and Ultima. Key responsibilities include integrating novel methods to create best-practices for multi-omics data, identifying opportunities to combine sequencing modalities like short-read, long-read, and capture, and supporting joint development efforts with technology partners to improve base-calling, read mapping, and variant calling. The position requires expertise in DNA-seq, RNA-seq, proteomics, and methylation data types. Candidates must demonstrate fluency in bioinformatic tools and standards while creating novel data structures and file formats to improve the actionability of sequencing deliverables within a research environment.

What you'll do

  • Design and develop sequencing informatics methods and protocols for multi-omics platforms like PacBio, Illumina, and Olink.
  • Lead the integration of novel methods to create informatics best-practices that maximize value from RGC samples.
  • Identify opportunities to combine multiple sequencing modalities to increase the actionability of sequencing deliverables.
  • Develop novel sequencing informatics protocols to support DNA-seq, RNA-seq, long-read sequencing, and proteomics.
  • Support joint development efforts with technology partners to improve base-calling, read mapping, and variant calling.
  • Deploy novel methods into the enterprise research environment as industry-quality software.
  • Create or adapt novel bioinformatic data structures and file formats to improve data actionability.

What we're looking for

  • Master’s degree in Bioinformatics or equivalent.
  • PhD in Bioinformatics (preferred).
  • 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, and 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.

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