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 DescriptionPurpose:
This position brings an opportunity to make innovative contributions that will define how AbbVie leverages AI-enabled drug discovery across our small molecule portfolio. The key responsibilities of this position are to identify, develop, optimize, validate, and deploy innovative methods for computational hit generation. This role will collaborate closely with project teams comprising medicinal chemists, structural biologists, biochemists, cell biologists, and other computational chemistry / chemoinformatics experts.
Responsibilities:
- Consult with project team to establish desirable project-relevant hit/lead criteria
- Develop and maintain proficiency with the collection of cutting-edge computational methods available to the HGLG team
- Support project teams by decisively identifying the method(s) that best fit the project goals, and deploying the most suitable method(s) for the task at hand
- Effectively communicate to the project team the rationale for chosen methodologies, explaining how these approaches are optimally suited to the task and how they inform the resulting designs for a given target
- Contribute to development of methods / workflows for computational hit generation, including methods to predict binding affinities of diverse chemotypes, to design compounds with specified pharmacological properties (PK parameters, etc.), and to rapidly sample both enumerated and AI-generated chemical spaces. Computational methods to evaluate / optimize synthetic tractability of designs from generative AI are of particular interest for this role.
- Senior Scientist I: Degree in relevant field (chemistry / computer science / machine learning / cheminformatics / chemical engineering) with experience developing machine learning models related to chemical and biological data (10+ years of experience for BS, 8+ years for MS, 0+ years for PhD)
- Senior Scientist II: Degree in relevant field (chemistry / computer science / machine learning / cheminformatics / chemical engineering) with experience developing machine learning models related to chemical and biological data (12+ years of experience for BS, 10+ years for MS, 4+ years for PhD)
- Knowledge and experience in modern computational approaches for medicinal chemistry
- Expertise using cutting-edge computational approaches built on Machine Learning/Deep learning and Cheminformatics
- Ability to implement, debug, and maintain computational tools in common programming languages (e.g., Python)
- Familiarity with AI/ML-enabled molecular generation, pose prediction, affinity prediction and/or prediction of pharmacological properties (e.g. PK)
- Familarity with retrosynthetic analysis, to contribute to refining workflows for generation/prioritization of novel molecules on the basis of synthetic tractability
- Strong analytical and problem-solving skills with demonstrated ability to think critically and creatively, and provide solutions both individually and collaboratively with internal experts
- Excellent ability to communicate clearly and concisely with colleagues and collaborators including an ability to explain complex ideas to non-specialists
- Preferred: has contributed to molecular design in an early-stage drug discovery campaign (hit gen / lead gen)
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
- The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
- We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
- This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
Skills Required
- Relevant degree in chemistry, computer science, machine learning, cheminformatics, or chemical engineering
- Senior Scientist I: 10+ years of experience with a bachelor's degree, 8+ years with a master's degree, or 0+ years with a PhD
- Senior Scientist II: 12+ years of experience with a bachelor's degree, 10+ years with a master's degree, or 4+ years with a PhD
- Experience developing machine learning models related to chemical and biological data
- Knowledge and experience with modern computational approaches for medicinal chemistry
- Expertise with machine learning, deep learning, and cheminformatics approaches
- Ability to implement, debug, and maintain computational tools in common programming languages such as Python
- Familiarity with AI/ML-enabled molecular generation, pose prediction, affinity prediction, or pharmacological property prediction
- Familiarity with retrosynthetic analysis and synthetic tractability workflows
- Strong analytical, problem-solving, critical-thinking, and creative-thinking skills
- Ability to communicate complex technical ideas clearly to specialists and non-specialists
- Contribution to molecular design in an early-stage hit-generation or lead-generation campaign
AbbVie Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AbbVie and has not been reviewed or approved by AbbVie.
-
Retirement Support — Retirement programs are portrayed as a standout, with a dollar‑for‑dollar 401(k) match up to 6% and an additional annual company contribution based on age and service. Feedback suggests this materially boosts perceived total compensation for many U.S. employees.
-
Parental & Family Support — Paid parental and caregiver leave are emphasized, including up to 12 weeks of fully paid parental leave for all parents and 4 weeks of paid caregiver leave in the U.S. Feedback suggests these policies are a meaningful differentiator for employees balancing family needs.
-
Leave & Time Off Breadth — Time off is described as extensive, with tiered vacation that scales with tenure, 17 company holidays, and two paid volunteer days in the U.S. Feedback suggests the breadth of leave contributes notably to overall benefits satisfaction.
AbbVie Insights
What We Do
AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.
