Senior AI/ML Engineer – Life Sciences

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $78k - $156k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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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

• Maintain deep expertise in one or more AI technology areas. • Clearly present and communicate relevance of technological advances as relevant to our work in biostatistics, bioinformatics and data science. • Work with stakeholders to discover and refine requirements for ML- and AI-based solutions. • Collaborate with other ML/AI engineers and relevant partners to design software solutions utilizing AI and machine learning techniques. • Work in an Agile framework focused on iterative, rapid delivery of proof-of-concept solutions. • Provide mentorship and coaching to more junior level team members.

🎯 Requirements

• Ph.D. in Statistics, Computational Biology, Computer Science, or related quantitative field or master’s degree 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 • Demonstrated knowledge and experience with advanced AI concepts, such as artificial neural networks, deep learning, and reinforcement learning • Strong programming ability with demonstrated experience in Python and one or more associated machine learning frameworks, such as TensorFlow, PyTorch, or SKLearn • Authorization to work in the United States without sponsorship.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities