Senior Principal Research Scientist, Computational Drug Discovery Optimization Team Lead

Benefits

Parental leave

12 weeks From the posting source

Non-birth-parent leave

12 weeks From the posting source

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Staff Plus From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Principal Research Scientist, Computational Drug Discovery Optimization Team Lead North Chicago, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: Purpose: This position brings an opportunity to make innovative contributions that will define how AbbVie leverages AI-enabled drug discovery across our small molecule portfolio. Reports to Head of Computational Drug Discovery (CDD) and will lead the computational Lead Optimization team. Will implement and enable collaborative design between members of the Optimization team and Global Medicinal Chemistry (GMEC) teams. Must possess strong expertise in modern medicinal chemistry, including a deep understanding of modern computational and experimental strategies, property-based drug design, and pharmacology needed to develop low-dose small molecule drug candidates. The ideal candidate will have a strong and established background in drug discovery from exploratory through candidate nomination including an established external footprint, and network as well as a proven track record of successfully leading diverse project teams to identify novel drug candidates. Past experience will have included mentorship of early/mid-career scientists in matrixed and/or direct reporting relationships. Responsibilities: Consult with project team and

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