Senior AI Scientist I

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 - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok ( .

Job Description

Purpose:

Nimble recognizes the potential power of AI/Machine Learning approaches to accelerate the discovery of novel peptide therapeutics, and we believe that the ability of our platform to generate massive data sets uniquely positions Nimble to be the leaders in this area. We are seeking a highly motivated Machine Learning Scientist to join Nimble to help drive our efforts to develop Machine Learning methods to accelerate peptide drug discovery. The successful candidate will be responsible for identifying and developing novel algorithms and pipelines and collaborating extensively with computational and experimental scientists to iteratively optimize the approach to Generative-AI enabled hit discovery.

Responsibilities:

• Develop machine learning and computational chemistry methods to enable discovery of peptides and/or peptide containing scaffolds that bind to target proteins.

• Develop group to leverage various computational chemistry tools and machine learning architectures to accelerate design of peptide-based molecules.

• Lead deployment of machine learning algorithms across various therapeutics areas.

• Build data sets and develop novel strategies to quantify model performance.

• Present results at internal and external scientific conferences.

• Routinely demonstrates scientific initiative and creativity in research or development activities.

• Highly autonomous and productive in performing laboratory research or method development, requiring only minimal direction from or interaction with supervisor.

• Formulate conclusions and design follow-on experiments based on multidisciplinary data.

• May initiate new areas of investigation that are scientifically meaningful, reliable, and can be incorporated directly into a research or development program.

• A primary author of publications, presentations, regulatory documents and/or primary inventor of patents.

• Understand and adhere to corporate standards regarding code of conduct, safety, appropriate handling of materials, controlled drug and radioactive compounds, GxP compliance, and animal care where applicable.

• Direct mentorship of others

Qualifications

Qualifications:

• Bachelor's Degree or equivalent education and typically 10 years of experience, Master's Degree or equivalent education and typically 8 years of experience, PhD and no experience necessary.

• Possess thorough theoretical and practical understanding of own scientific discipline.

• Applied experience toward a quantitative science (e.g., Chemistry, Biology, Biochemistry, etc.) required

• 1+ year of experience applying deep learning frameworks (academic or industry)

• Experience using deep learning frameworks (PyTorch) to build and train models, apply transfer learning, and/or fine tune models

• Fluent in Linux command-line, python (or other programming language if applied to deep learning), and git

• Extensive experience working with large chemical and biological datasets, including graph, sequence, and structure-based data

• Experience using cloud / compute / GPU clusters

• Experience with protein structure modeling, design, or prediction algorithms ranging from Physics-based to deep learning architectures

• Record of machine learning research excellence as evidenced by conference presentations or journal publications

• Ability to work collaboratively on projects with multiple contributors

Preferred:

• Experience developing or applying deep learning approaches for protein / peptide design

• Experience developing novel strategies to quantify model performance, especially for diffusion and transformer-based models

• Experience using experiment tracking platforms (e.g. MLFlow, TensorBoard, Neptune, Weights & Biases)

• Experience contributing to drug discovery efforts

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements understate or local law: ???

• The compensation range described below is the range of possible base pay compensation that theCompany believes in good faith it will pay for this role at the time of this posting based on the job gradefor this position. Individual compensation paid within this range will depend on many factors includinggeographic location, and we may ultimately pay more or less than the posted range. This range may bemodified 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 is earned, vested,and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any otherform of compensation and benefits that are allocable to a particular employee remains in the Company'ssole and absolute discretion unless and until paid and may be modified at the Company's sole andabsolute 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.

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Salary: $94,000 - $178,500