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 DescriptionConceive 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
- 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.
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, 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
- Bachelor's degree or equivalent education with typically 7 or more years of experience, or master's degree or equivalent education with typically 5 or more years of experience
- Relevant degree in chemistry, computer science, machine learning, cheminformatics, or chemical engineering, with experience developing machine learning models for chemical and biological data
- Thorough theoretical and practical understanding of the relevant scientific discipline
- Expertise developing, implementing, and deploying machine learning, deep learning, cheminformatics, and computational solutions
- Expertise in AI/ML-enabled molecular generation, pose prediction, affinity prediction, or pharmacological property prediction
- Strong Python programming skills and experience with NumPy, pandas, scikit-learn, and related scientific libraries
- Ability to implement, debug, and maintain computational tools in common programming languages
- Proficiency with cloud computing capabilities
- Familiarity with GNN, CNN, RNN, Transformer, GCNN, and MPNN architectures
- Familiarity with generative models, GANs, and active learning
- Strong analytical, problem-solving, critical-thinking, and creative-thinking skills
- Ability to communicate complex ideas clearly to technical and nontechnical colleagues and collaborators
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.
