Senior Scientist I - II, Computational HitGen / LeadGen

BioSpace; North Chicago (IL); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, vision insurance

401(k) with company match

Long-term incentive programs

Job summary

AbbVie is seeking a Senior Scientist to drive AI-enabled drug discovery across small molecule programs. The role focuses on identifying, developing, and deploying innovative computational hit generation methods in close collaboration with medicinal chemists, biologists, and chemoinformatics experts.

The successful candidate will implement, debug, and maintain ML-based tools in Python, evaluate AI-generated chemical spaces, and contribute to workflows that accelerate lead generation while

Qualifications

• Degree in a relevant field with experience developing ML models for chemical/biological data.
• Experience with modern computational medicinal chemistry approaches preferred.
• Strong communication and ability to explain complex ideas to non-specialists."

Responsibilities

• Identify, develop, and deploy computational hit generation methods for drug discovery.
• Collaborate with medicinal chemists, structural biologists, biochemists, and other chemoinformatics experts.
• Develop workflows for predictive modeling of binding affinities and PK properties.
• Design and evaluate AI-generated chemical spaces with emphasis on synthetic tractability.
• Communicate rationale for selected methodologies to project teams.

Skills

Analytical thinking

Problem solving

Clear communication

Collaboration

Education

B.S. in chemistry / computer science / ML / cheminformatics / chemical engineering

Tools

Python

Job 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 atwww.abbvie.com. Follow @abbvie onLinkedIn,Facebook,Instagram,XandYouTube.

Company Description

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 atwww.abbvie.com. Follow @abbvie onLinkedIn,Facebook,Instagram,XandYouTube.

Purpose

Job Description

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.

Qualifications

• 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)

Additional Information

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof this posting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location, andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.
• This job is eligible toparticipatein our long-term incentiveprograms.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission, incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company's sole andabsolutediscretion unless and until paid andmay bemodifiedat the Companys sole and absolute discretion, consistent withapplicable 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, visithttps://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

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