Senior AI/ML Engineer – Life Sciences

🔥 17 hours ago

🇺🇸 United States – Remote

💵 $78k - $156k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Abbott

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1888

🏥 Healthcare

⚕️ Healthcare Insurance

🧬 Biotechnology

Healthcare • Healthcare Insurance • Biotechnology

Abbott is a global healthcare company committed to advancing medical technologies and improving lives around the world. It offers a broad range of leading products in diagnostics, medical devices, nutrition, and branded generic medicines. Abbott's innovations such as the FreeStyle Libre glucose monitoring systems and BinaxNOW rapid antigen tests are transforming diabetes management and COVID-19 response. Through its partnerships and initiatives, Abbott aims to foster health equity, improve access to healthcare, and address critical health challenges like malnutrition and infectious diseases. Abbott is also dedicated to sustainability and social responsibility, striving to make life-changing technologies accessible and affordable.

📋 Description

• Guide the architecture, technical roadmap, and strategic evolution of Abbott’s life sciences generative AI platform • Design and implement shared platform services, reusable components, and supported solution patterns • Integrate agent frameworks and interoperability protocols with enterprise data sources, document repositories, and scientific systems • Partner with stakeholders and AI/ML engineers across science and medical functions to translate workflows, SOPs, and business needs into scalable AI solutions • Define and apply evaluation criteria for solution quality, reliability, efficiency, and business value • Apply Agile practices to develop, evaluate, and mature concepts into validated, reusable solutions • Provide mentorship and coaching to junior team members • Serve as a subject matter expert in core and cross-functional meetings • Communicate complex information to technical and non-technical stakeholders • Support and comply with Abbott’s Quality Management System policies and procedures • Maintain regular and reliable attendance and availability during the designated work schedule • Travel 5% of working time, potentially including overnight or weekend travel

🎯 Requirements

• Ph.D. in Statistics, Computational Biology, Computer Science, or related quantitative field, or master’s degree in one of these fields plus 4 years of experience in lieu of a Ph.D. • 3+ years of experience in statistics, computational biology, applied mathematics, or related quantitative field • 3+ years of experience with artificial intelligence and machine learning algorithms • Knowledge and experience with artificial neural networks, deep learning, and reinforcement learning • Experience with natural language processing, image processing and computer vision, or image and pattern recognition • Experience with large language models for generative AI, transformer architecture, and retrieval augmented generation • Strong programming ability with Python and one or more machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn • Knowledge and experience with open-source AI models • Authorization to work in the United States without sponsorship • Ability to perform essential duties with or without accommodation • Ability to work on a mobile device, tablet, or computer screen and type for approximately 85% of a typical working day • Preferred: 2+ years of life sciences industry experience working with biological data • Preferred: 2+ years of industry experience in molecular diagnostics, preferably cancer diagnostics • Preferred: expertise in healthcare data mining • Preferred: basic knowledge of MLOps and machine learning model versioning and deployment • Preferred: scientific understanding of cancer biology

🏖️ Benefits

• Remote work arrangement (United States of America: Remote) • Travel at 5% of working time • Equal opportunity employment