Start Date
Immediate
Expiry Date
07 Sep, 25
Salary
336000.0
Posted On
07 Jun, 25
Experience
8 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Bioinformatics, Computer Science, It, Working Model, Deep Learning, Computational Biology, Display Technologies, Incentive Programs, Protein Engineering
Industry
Information Technology/IT
Director II, Discovery Biotherapeutics AI/ML
Worcester, MA
Job ID: R00130376
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.
Job Description
PREFERRED EXPERIENCE
LOCATION & TRAVEL
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
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:
https://www.abbvie.com/join-us/reasonable-accommodations.htm
ROLE SUMMARY
AbbVie is building a best-in-class, AI-enabled antibody discovery engine. We need an industry proven leader to architect, deploy, and continuously improve this platform, applying state-of-the-art machine learning and protein language models to advance large molecule assets from Hit ID through IND.
CORE RESPONSIBILITIES