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 www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.
Envision spending your summer working with energetic colleagues and inspirational leaders, all while gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry. This is a reality for AbbVie Interns.
The AI/ML & NMR Structural Verification Intern will interact closely with Data Sciences and Nuclear Magnetic Resonance (NMR) team members to develop an AI/ML workflow using a DP4/DP5 model coupled with Gaussian calculation for NMR structural identification. The goal of the project is to streamline and accelerate the structure verification process.
Key responsibilities include:
Evaluate the published AI-based models such as DP4/DP5-AI workflow
Test the workflow on a set of compounds with existing NMR data to assess its reliability
Improve and enhance the calculation of NMR shifts by leveraging advanced DFT calculations and Bayesian inference
Design a robust, scalable screening template that integrates the optimized AI model into the NMR identification processes
Qualifications
Minimum Qualifications
Currently enrolled in university, pursuing a PhD in Data Science, Computer Science, Computational Chemistry, Chemistry, or other related field (Chemistry is preferred)
Must be enrolled in university for at least one semester following the internship
Experience with Python, HPC, SQL, and Gaussian calculation
Strong written and verbal communication skills and the ability to interact effectively with interdisciplinary scientists and engineers
High attention to detail, creativity in problem solving, and the ability to work both independently and part of a team
Ability to work on multiple and simultaneous tasks in a fast-paced setting where priorities may change quickly
Preferred Qualifications
Expected graduation date between December 2026 - June 2027
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
Benefits and Amenities:
Competitive pay
Relocation support for eligible students
Select wellness benefits and paid holiday / sick time
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.
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:
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