Principal Research Scientist II, Computational Sciences

AbbVie

Confirmed live today High trust

Quick summary

Work type
On-site
Location
North Chicago, IL
Salary
$141,500–$268,500 / yr
Posted
60 days ago
Freshness
Confirmed live today
Closes
Aug 27, 2126

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $205k
$126k $291k
below market most similar roles pay here above market

This role pays less than 59% of similar roles. Most pay $177,587–$256,850 — the blue band above. At the midpoint, this role pays about $205k versus about $217k 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 145 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 140 roles with salary data.

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At a glance

TL;DR · Principal Research Scientist II, Computational Sciences

The Principal Research Scientist II, Computational Sciences, MPDD joins the Molecular Profiling and Drug Delivery function within the Synthetic Molecule CMC organization. This role provides scientific leadership to guide the identification, development, and democratization of computational models that optimize drug candidates across synthetic modalities. The successful candidate will lead the development of internal workflows to support molecular design, chemical transitions, and materials design from lead optimization through commercial development. Key responsibilities include mentoring scientists, establishing performance benchmarks, and collaborating with cross-functional teams to integrate tools into screening funnels. Required expertise includes quantum mechanics, atomistic molecular simulations, molecular dynamics, machine learning, artificial intelligence, and hybrid physics-informed AI/ML models. This position solves complex problems in drug discovery by establishing structure–property–performance correlations to ensure robust commercial processes for active pharmaceutical ingredients.

What does a Research Scientist earn?

Median $216250 from 45 postings across 16 companies.

See salary data

What you'll do

  • Apply physics-based computational methods, including quantum mechanics and molecular dynamics, to support drug discovery and development.
  • Develop and implement a portfolio of internal computational models and workflows for small-molecule and synthetic-modality needs.
  • Provide scientific leadership in applying computational chemistry to molecular design, chemical transitions, and materials design.
  • Guide team members in designing and executing benchmarking studies to evaluate model performance, applicability, and limitations.
  • Integrate computational tools into design and screening workflows by collaborating with medicinal chemists, data scientists, and engineers.
  • Identify emerging scientific trends and incorporate relevant opportunities into functional objectives and long-term computational sciences strategies.
  • Mentor early- and mid-career scientists in matrixed and direct-reporting relationships to foster a collaborative team environment.
  • Present research strategies, program updates, and scientific recommendations to functional leaders, project teams, and external partners.

What we're looking for

  • Bachelor’s degree with 16+ years of experience, Master’s with 14+ years, or PhD with 8+ years in a related scientific field.
  • Extensive experience applying computational chemistry and data science to medicinal chemistry, drug discovery, and molecular optimization.
  • Extensive knowledge of quantum mechanics, molecular dynamics, atomistic molecular simulations, machine learning, and hybrid physics-informed AI/ML.
  • Demonstrated experience developing and applying computational models and workflows across multiple stages of drug discovery and development.
  • Experience establishing model performance benchmarks and communicating model limitations to multidisciplinary project teams.
  • Experience leading complex research programs and capability-development activities in matrixed or direct-reporting environments.
  • Demonstrated experience mentoring early- and mid-career scientists in a collaborative and innovative team environment.
  • A record of scientific contributions through publications, conference presentations, abstracts, or patents (preferred).

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