Associate Principal Bioinformatics Scientist

Abbott

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
San Diego, CALa Jolla, CA
Salary
$114,000–$228,000 / yr
Posted
15 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $198k
This role $171k
$99k most similar roles pay here $252k

This role pays less than 63% of similar roles. Most pay $159,000–$237,500 — the shaded band above. At the midpoint, this role pays about $171k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Abbott

Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices

Abbott currently has 90 open roles on FindRole.

Listed pay typically runs $99,300–$198,700 across 89 roles with salary data.

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At a glance

TL;DR · Associate Principal Bioinformatics Scientist

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Associate Principal Bioinformatics Scientist The Associate Principal Bioinformatics Scientist joins the Cancer Diagnostics division to support research and development for molecular diagnostics products. This role serves as a thought leader and subject matter expert, managing complex projects from concept to completion while providing technical guidance on experimental design and new technology evaluation. Key responsibilities include developing algorithms, analyzing results from experiments across multiple product areas, and presenting data-driven outcomes to senior management. The candidate will contribute to the intellectual property portfolio and mentor junior scientists. Required expertise includes bioinformatics, genomics, and next-generation sequencing (NGS). Preferred skills involve advanced linear and non-linear statistical learning methods, AI techniques like deep learning or neural networks, and experience with liquid biopsy NGS. This role addresses critical challenges in molecular diagnostics by developing innovative testing solutions for patients facing various health conditions.

Skills

Bioinformatics Genomics Next-Generation Sequencing (NGS) Deep Learning Neural Networks Molecular Diagnostics Software Development Lifecycle Dev/Ops Liquid Biopsy Excel SmartSheet MS Project R

What you'll do

  • Develop, plan, and analyze results from experiments across multiple product areas to guide project progression.
  • Independently design and develop algorithms for molecular diagnostics and complex data analysis.
  • Act as a subject matter expert to provide technical guidance on new technologies and R&D projects.
  • Create and present data-driven outcomes, scientific abstracts, and manuscripts for internal and external audiences.
  • Manage project timelines, documentation, and development plans for high-complexity research initiatives.
  • Contribute to the intellectual property portfolio by developing innovative solutions to improve current methods.
  • Train, guide, and mentor junior bioinformatics scientists within the organization.
  • Identify and lead process improvements while ensuring compliance with Quality Management System policies.

What we're looking for

  • PhD in bioinformatics, computational biology, computer science, mathematics, or a related field.
  • Master’s degree in a relevant field plus 4 years of experience, or a Bachelor’s degree plus 6 years of experience.
  • At least 9 years of industry or academia experience in bioinformatics.
  • At least 8 years of experience in molecular diagnostics, medical device/IVD/LDT development, biotech, or life science.
  • Demonstrated expertise as a thought leader in bioinformatics, genomics, and/or next-generation sequencing (NGS).
  • Demonstrated experience developing statistical and quantitative methods.
  • Proficiency in Microsoft Office including Excel, Word, and PowerPoint.
  • Experience with advanced statistical learning, AI techniques, or software development lifecycle (preferred).

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