Data Scientist II, ML Expert

AbbVie
AbbVie logo
Location
North Chicago, IL,
Job Type
Full-time
Posted
August 20, 2026
Views
2

Job Description


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


Job Description


Conceive and implement novel experimental approaches to answer scientific questions. Investigate, identify, develop, and optimize new methods and techniques. Contribute to project science in area of expertise. Develop productive collaborations and communications with other groups across science disciplines.

Responsibilities

  • Consult with project team to establish quantitative targets for driving optimization
  • Work with project team to identify suitable models to predict small molecule binding affinities for protein targets, and to predict pharmacological properties (PK parameters, etc.)
  • Work with project team to build predictive models for each relevant endpoint, and carefully benchmark to evaluate performance and domain of applicability for each model
  • Work with project team to identify the model that should be used for each project team query molecule, using data-driven approaches that take account of model uncertainty and heteroscedasticity
  • Clearly communicate to the project team the rationale for model selection and why the selected models are best suited for the task at hand

Qualifications


  • Bachelor’s Degree or equivalent education and typically 7+ years of experience, Master’s Degree or equivalent education and typically 5+ years of experience. Degree in relevant field (chemistry / computer science / machine learning / cheminformatics / chemical engineering) with experience developing machine learning models related to chemical and biological data, preferred.
  • Possess thorough theoretical and practical understanding of own scientific discipline.
  • Expertise with developing, implementing and deploying programs and computational solutions employing Machine Learning/Deep learning and Cheminformatics.
  • Expertise in AI/ML-enabled molecular generation, pose prediction, affinity prediction and/or prediction of pharmacological properties (e.g. PK).
  • Strong programming skills in Python and experience with data science stack including numpy, pandas, scikit-learn, and other related scientific libraries.
  • Ability to implement, debug, and maintain computational tools in common programming languages (Python, etc…) and proficiency with cloud computing capabilities.
  • Familiarity with modern deep learning architectures including GNN, CNN, RNN, Transformer, GCNN and MPNN, and machine learning paradigms such as generative models, GAN, and active learning.
  • 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.

Additional Information


Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​


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


Job Description


Conceive and implement novel experimental approaches to answer scientific questions. Investigate, identify, develop, and optimize new methods and techniques. Contribute to project science in area of expertise. Develop productive collaborations and communications with other groups across science disciplines.

Responsibilities

  • Consult with project team to establish quantitative targets for driving optimization
  • Work with project team to identify suitable models to predict small molecule binding affinities for protein targets, and to predict pharmacological properties (PK parameters, etc.)
  • Work with project team to build predictive models for each relevant endpoint, and carefully benchmark to evaluate performance and domain of applicability for each model
  • Work with project team to identify the model that should be used for each project team query molecule, using data-driven approaches that take account of model uncertainty and heteroscedasticity
  • Clearly communicate to the project team the rationale for model selection and why the selected models are best suited for the task at hand

Qualifications


  • Bachelor’s Degree or equivalent education and typically 7+ years of experience, Master’s Degree or equivalent education and typically 5+ years of experience. Degree in relevant field (chemistry / computer science / machine learning / cheminformatics / chemical engineering) with experience developing machine learning models related to chemical and biological data, preferred.
  • Possess thorough theoretical and practical understanding of own scientific discipline.
  • Expertise with developing, implementing and deploying programs and computational solutions employing Machine Learning/Deep learning and Cheminformatics.
  • Expertise in AI/ML-enabled molecular generation, pose prediction, affinity prediction and/or prediction of pharmacological properties (e.g. PK).
  • Strong programming skills in Python and experience with data science stack including numpy, pandas, scikit-learn, and other related scientific libraries.
  • Ability to implement, debug, and maintain computational tools in common programming languages (Python, etc…) and proficiency with cloud computing capabilities.
  • Familiarity with modern deep learning architectures including GNN, CNN, RNN, Transformer, GCNN and MPNN, and machine learning paradigms such as generative models, GAN, and active learning.
  • 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.

Additional Information


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 roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  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 short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount isearned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that areallocable 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 absolutediscretion,  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, visithttps://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

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Frequently Asked Questions

Where is the job located, and is it remote/hybrid/on-site?
This position is located in North Chicago, IL. The job posting does not specify a remote or hybrid work-mode policy, indicating it is an on-site role.
What are the key responsibilities of this role?
You will conceive and implement novel experimental approaches, and consult with project teams to establish quantitative targets. You will identify, build, and benchmark predictive models for small molecule binding affinities and pharmacological properties, and clearly communicate model selection rationales to the team.
What qualifications and experience are required?
You need a Bachelor's degree with typically 7+ years of experience, or a Master's degree with typically 5+ years of experience. You must have expertise in ML/DL, cheminformatics, Python programming, cloud computing, and modern deep learning architectures like GNNs and Transformers.
What benefits are offered for this position?
Eligible employees are offered a comprehensive benefits package including paid time off (vacation, holidays, sick), medical, dental, and vision insurance, and a 401(k) plan. This role is also eligible to participate in short-term incentive programs.

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Explore AbbVie

Research the company before you apply.

  • 17 open roles
  • Verified H-1B salary data
  • Clinical-trial hiring momentum
  • Culture, benefits & locations
View company profile

Job Information

Source: abbvie
Remote Type: onsite
Allowed Locations: North Chicago, IL,
Skills & Tags:
pharma biotech

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