Principal Research Scientist I, In Vivo Antibody Discovery

AbbVie

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Worcester, MA
Salary
$124,500–$236,500 / yr
Posted
45 days ago
Freshness
Confirmed live 2 days ago
Closes
Jul 28, 2126

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $212k
This role $180k
$107k most similar roles pay here $289k

This role pays less than 68% of similar roles. Most pay $168,937–$254,750 — the shaded band above. At the midpoint, this role pays about $180k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

About AbbVie

AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.

AbbVie currently has 297 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 271 roles with salary data.

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At a glance

TL;DR · Principal Research Scientist I, In Vivo Antibody Discovery

As a Principal Research Scientist I, In Vivo Antibody Discovery, you will join the Biotherapeutics and Genetics Medicine department to lead innovative immunization-based antibody discovery. You will be responsible for leading programs from hit identification through candidate nomination while designing novel antigen engineering strategies and immunization approaches to maximize immune response quality. Your daily work involves providing technical leadership across multiple platforms, including B cell-based discovery, hybridoma, and immune repertoire screens. To solve challenges in immunology, neuroscience, and oncology, you will utilize technologies such as VHH discovery with camelids and transgenics, AI-enabled workflows, machine learning, computational biology, and laboratory automation. You will also manage cross-functional collaborations and external partnerships to identify high-quality therapeutic antibody candidates for diverse programs, including multispecifics and advanced modalities, while mentoring scientists and contributing to the organization's scientific reputation through publications and patents.

What does a Research Scientist earn?

Median $216250 from 42 postings across 13 companies.

See salary data

What you'll do

  • Lead antibody discovery programs from hit identification through lead selection and candidate nomination.
  • Design and execute novel antigen engineering strategies and immunization approaches to maximize immune response quality.
  • Provide technical leadership across multiple platforms, including B cell-based discovery, hybridoma, and immune repertoire screens.
  • Identify and develop antibody and VHH modalities for diverse therapeutic programs and multispecifics.
  • Evaluate and implement emerging technologies such as AI-enabled workflows, machine learning, and laboratory automation.
  • Manage hybrid discovery campaigns by integrating internal capabilities with external partners while mitigating risks.
  • Mentor scientists and provide technical guidance across various antibody discovery programs.
  • Contribute to the organization's scientific reputation through publications, patents, and presentations.

What we're looking for

  • BS, MS, or PhD in immunology, biochemistry, molecular biology, bioinformatics, or a related scientific field.
  • Experience for PhD holders, 12+ for MS holders, or 14+ for BS holders in the industry.
  • Deep hands-on expertise in antibody discovery platforms including single B cell cloning, immune repertoire screening, and hybridoma.
  • Extensive experience designing antigens and novel immunization strategies for challenging therapeutic targets.
  • Strong expertise in hit identification, screening cascade design, lead triage, and lead selection.
  • Working knowledge of antibody engineering principles, developability assessment, and sequence liability evaluation.
  • Experience with VHH discovery platforms using camelids and transgenics.
  • Familiarity with bioinformatics pipelines, computational antibody discovery, AI/ML-enabled design, and laboratory automation (preferred).

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