Senior AI Scientist – Life Sciences

Job not on LinkedIn

🔥 4 minutes ago

🌽 Illinois – Remote

infoinfo

💵 $99.3k - $198.7k / year

⏰ Full Time

🟠 Senior

🧠 AI Research Scientist

Where this job comes from

Posted on Abbott's careers page, not through a job board

First seen by Remote Rocketship 4 minutes ago

Logo of Abbott

Abbott

10,000+ employees

🏥 Healthcare

💊 Pharmaceuticals

💰 $100k Post IPO debt on 2011-04

Healthcare • Pharmaceuticals

Abbott is a global healthcare company that develops, manufactures, and markets a broad range of medical devices, diagnostic systems, branded generic pharmaceuticals, and nutritional products. The company focuses on improving health through products such as diagnostic tests and systems, cardiovascular and neuromodulation devices, diabetes care devices (including glucose monitoring), and adult and pediatric nutritionals. Abbott operates worldwide and emphasizes research & development and innovation in healthcare technologies and nutrition.

📋 Description

• Develop perspectives on AI technology affordances and identify how advances can improve efficiency and effectiveness • Identify, refine, prioritize, and formalize requirements for ML- and AI-based solutions • Provide technical and strategic leadership for software solutions using advanced AI and ML techniques • Lead implementation and deployment of ML and AI solutions • Deliver hands-on technical work and clear deliverables • Develop AI strategy for Abbott Cancer Diagnostics/Exact Sciences applications • Leverage existing and in-house AI and ML tools to improve bioinformatics, biostatistics, and data science processes • Build training resources, knowledge bases, and educational initiatives on advanced AI and ML technologies • Solve complex problems and identify innovative solutions • Mentor and coach junior team members • Serve as a subject matter expert in core and cross-functional meetings • Contribute innovative ideas to the intellectual property portfolio • Apply judgment in selecting methods, techniques, and evaluation criteria • Communicate complex information and influence decision-making • Support quality management system policies and procedures • Maintain regular and reliable attendance • Work the designated schedule • Use mobile devices, tablets, or computers and perform typing for approximately 85% of the workday • Travel approximately 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 relevant experience • 5+ years of experience in statistics, computational biology, applied mathematics, or related quantitative field • 5+ years of experience with artificial intelligence and machine learning algorithms • Mastery of artificial neural networks, deep learning, and model architectures • Mastery of AI and ML techniques in natural language processing, image processing and computer vision, or image and pattern recognition • Mastery of large language models for generative AI, transformer architecture, and retrieval augmented generation • Strong programming ability with Python and machine learning libraries such as PyTorch and MLFlow • Knowledge and experience with open-source AI models • Excellent communication skills and ability to explain complex topics to varied audiences • Authorization to work in the United States without sponsorship • Ability to perform essential duties with or without accommodation • Preferred: 8+ years of life sciences industry experience working with biological data • Preferred: 8+ years of industry experience in molecular diagnostics, preferably cancer diagnostics • Preferred: Expertise in healthcare data mining • Preferred: Basic knowledge of MLOps, model versioning, and deployment • Preferred: Scientific understanding of cancer biology • Preferred: Basic knowledge of cloud computing, AWS SageMaker, and HyperPod

🏖️ Benefits

• Ability to work remotely • 5% travel allowance/requirement • Opportunity to contribute to intellectual property portfolio • Mentorship and coaching opportunities • Training resources and knowledge-base development initiatives

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