Sr. AI/ML Engineer - Life Science

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.

     

• Ph.D in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties, or Master’s Degree in Statistics, Computational Biology, Computer Science, or related quantitative field as outlined in the essential duties plus 4 years of relevant experience.
• 5+ years of experience in statistics, computational biology, applied mathematics, or related quantitative field as outlined in the essential duties.
• 5+ years of experience with artificial intelligence and machine learning algorithms.
• Demonstrated experience with and mastery of advanced AI concepts, such as artificial neural networks, deep learning, and reinforcement learning.
• Demonstrated experience with and mastery of artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition.
• Demonstrated experience with and mastery of large language models for generative AI and associated concepts, such as transformer architecture and retrieval augmented generation.
• Strong programming ability with demonstrated experience in Python and one or more associated machine learning frameworks, such as TensorFlow, PyTorch, or SKLearn.
• Knowledge and experience working with open-source AI models.
• Excellent communication skills and the ability to explain complex topics to audiences of varied backgrounds.
• Demonstrated ability to perform the essential duties of the position with or without accommodation.
• Authorization to work in the United States without sponsorship.

• 8+ years of life sciences industry experience working with biological data.
• 8+ years of industry experience in molecular diagnostics, preferably cancer diagnostics.
• Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data.
• Basic knowledge of ML-Ops and processes for managing the versioning and deployment of machine learning models.
• Scientific understanding of cancer biology

     

$99,300.00 – $198,700.00

In specific locations, the pay range may vary from the range posted.

     

Product Development

     

ONCO Cancer Diagnostics

        

United States > California : Remote

     

Standard

     

Yes, 5 % of the Time

     

Not Applicable

     

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)

     

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

     

EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf

     

EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf