- 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
- Act 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
- Model inclusion, accountability, innovation, integrity, quality, and teamwork
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
- Knowledge and experience with AI/ML techniques in natural language processing, image processing and computer vision, or image and pattern recognition
- Knowledge and experience with large language models, transformer architecture, and retrieval augmented generation
- Strong programming ability with demonstrated experience in Python and TensorFlow, PyTorch, or SKLearn
- Knowledge and experience working with open-source AI models
- Ability to perform essential duties with or without accommodation
- Authorization to work in the United States without sponsorship
- 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 ML-Ops and machine learning model versioning and deployment
- Preferred: Scientific understanding of cancer biology
- Ability to work on a mobile device, tablet, or computer screen and/or perform typing for approximately 85% of a typical working day
- Ability to travel 5% of working time away from the work location
Core Competencies
Demonstrates expertise in artificial intelligence and machine learning, particularly in the context of life sciences, with strong programming skills in Python and experience with frameworks like TensorFlow and PyTorch. Capable of guiding technical roadmaps and collaborating with cross-functional teams to develop scalable AI solutions.
Highest-signal resume keywords
- Ph.D. In Statistics, Computational Biology, Or Computer Science
- 3+ Years Of Experience In Artificial Intelligence And Machine Learning
- Strong Programming Ability In Python
- Knowledge Of Artificial Neural Networks And Deep Learning
- Experience With Large Language Models And Transformer Architecture
Hard Skills
- Artificial Intelligence
- Machine Learning
- Statistics
- Computational Biology
- Deep Learning
- Natural Language Processing
- Image Processing
- Python
- TensorFlow
- PyTorch
Soft Skills
- Mentorship
- Communication
- Collaboration
- Problem-Solving
- Teamwork
Industry Keywords
- Life Sciences
- Biological Data
- Molecular Diagnostics
- Cancer Diagnostics
- Healthcare Data Mining
Tools & Technologies
- AI/ML Frameworks
- Open-Source AI Models
- ML-Ops
- Document Repositories
- Scientific Systems
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Senior AI/ML Engineer – Life Sciences Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
