Sr. AI/ML Engineer - Life Science
Core
Lead planning and execution of complex AI/ML projects to solve problems involving biological, genomic, clinical, and healthcare data for advanced cancer screening and precision oncology.
Role type
Senior IC machine learning engineer (oncology/bioinformatics)
Builds
AI/ML solutions for cancer diagnostics, bioinformatics, and data engineering applications
Domain
Life sciences / Oncology / Genomics
Deliverable
production ML models
Required skills
Artificial neural networks, deep learning, reinforcement learning, natural language processing, image processing and computer vision, image and pattern recognition, large language models, transformer architecture, retrieval augmented generation, Python, TensorFlow, Pytorch, SKLearn, open-source AI models
Preferred skills
Life sciences industry experience with biological data, molecular diagnostics experience, data mining in healthcare, ML-Ops, cancer biology
Technologies
TensorFlow, Pytorch, SKLearn
Responsibilities
Lead development of technology perspectives, identify and formalize requirements for ML/AI solutions, provide technical and strategic leadership for software design, lead implementation and deployment of ML/AI solutions, set up Agile framework, lead AI strategy development, build training resources and knowledge bases, mentor junior team members, contribute to intellectual property portfolio
Seniority
Senior, hands-on IC with strategic leadership
