Director, Computational Sciences

AbbVie

Confirmed live today High trust

Quick summary

Work type
On-site
Location
North Chicago, IL
Salary
$182,000–$346,000 / yr
Posted
41 days ago
Freshness
Confirmed live today
Closes
Sep 16, 2126

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $248k
This role $264k
$162k $366k
below market most similar roles pay here above market

This role pays more than 65% of similar roles. Most pay $211,799–$285,086 — the blue band above. At the midpoint, this role pays about $264k versus about $248k 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 · Director, Computational Sciences

The Director, Computational Sciences leads a global team of scientists within the Molecular Profiling and Drug Delivery function of the Synthetic Molecule CMC organization. This leader oversees the development of hierarchical modeling approaches to advance synthetic modalities from lead optimization through commercial development. Key responsibilities include co-creating a forward-looking strategy for AI-enabled drug discovery, managing project intake for small molecule portfolios, and establishing external research collaborations. The role requires expertise in quantum mechanics, atomistic molecular simulations, molecular dynamics, and artificial intelligence or machine learning. The team builds tools to identify structure–property–performance correlations and establish commercial solid forms of active pharmaceutical ingredients. By integrating physics-based methods with hybrid physics-informed AI/ML models, the role solves complex problems in molecular design, chemical transitions, and materials design to improve drug candidate developability.

What you'll do

  • Co-create and implement a forward-looking strategy for Computational Sciences and AI-enabled drug discovery.
  • Manage a global team of 10-12 scientists and lead a matrixed modeling community.
  • Oversee an ecosystem of external research collaborations across academia and technology partners.
  • Manage project intake and capacity planning for the small molecule portfolio to align with medicinal chemistry optimization.
  • Lead the development and democratization of computational models using quantum mechanics, molecular dynamics, and machine learning.
  • Drive the integration of emerging technologies into full-stack solutions for mid-late discovery and early clinical development.
  • Resolve inter-group conflicts and manage resource allocation to overcome scientific setbacks.
  • Mentor scientists to develop their full potential and identify internal growth opportunities.

What we're looking for

  • Bachelor’s degree with 18+ years of experience, Master’s with 16+ years, or PhD with 12+ years of related work experience.
  • Experience must include managerial experience leading scientific research teams.
  • Degree must be in chemistry, computational chemistry, pharmaceutical sciences, chemical engineering, computer science, or a related field.
  • Proven track record of people, technical, and research project management with significant impact.
  • Proven track record of high-impact scientific achievement including a robust publication record.
  • Expertise in quantum mechanics, atomistic molecular simulations, molecular dynamics, and AI/machine learning.
  • Knowledge of state-of-the-art computational methodologies, technology platforms, and emerging trends to accelerate drug discovery.
  • Strong written and oral communication skills with executive presence and leadership skills to navigate multiple stakeholders.

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