Senior AI Scientist, AI Products / Life Sciences
New
J
JobgetherLife Sciences, Healthcare AI
USFull-TimeSenior
SalaryCalifornia salary ranges include approximately $125,000–$185,000 for Chicago and $150,000–$190,000 for New York City/San Francisco
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Job Details
- Experience
- At least 1 year of industry experience
- Required Skills
- PythonMachine LearningPyTorchDeep LearningComputer Vision
Requirements
- Ph.D. in Computer Science or another relevant quantitative discipline.
- At least 1 year of industry experience leading the end-to-end development of machine learning models, from research and experimentation through validation and production deployment.
- Demonstrated expertise in large-scale deep learning and experience training production-grade machine learning models.
- Strong Python skills and proficiency with modern deep learning frameworks such as PyTorch.
- Product-level coding ability for model development, combined with a solid understanding of industry-standard software engineering and development practices.
- Strong research instincts, analytical thinking, curiosity, and the ability to translate emerging AI techniques into practical solutions.
- Ability to work effectively across multidisciplinary teams and communicate complex technical concepts clearly to both technical and domain-oriented stakeholders.
- Experience with computer vision and multimodal modeling is strongly preferred, particularly involving pathology, multi-omics, or similarly complex datasets.
- Prior experience applying AI or machine learning to medical or healthcare problems is highly valued.
- Strong record of peer-reviewed publications in leading machine learning or computer vision venues.
Responsibilities
- Design, train, validate, and deploy state-of-the-art machine learning models that address complex problems across clinical care and the life sciences.
- Develop models leveraging diverse data modalities, including whole-slide pathology images, genomic DNA/RNA profiles, spatial omics, and longitudinal patient records.
- Take significant hands-on ownership across research, experimentation, model development, validation, optimization, and production deployment.
- Partner with life sciences organizations to create AI applications supporting biomarker discovery, therapy outcome prediction, companion diagnostics, and related drug-development initiatives.
- Bridge cutting-edge AI research and practical healthcare applications, ensuring models can operate effectively and reliably in production environments.
- Design and develop AI solutions in alignment with applicable healthcare regulations, quality requirements, and standards for clinical applications.
- Contribute original research to the broader AI and healthcare communities through peer-reviewed publications, conferences, and engagement with external researchers.
- Work closely with AI scientists, software engineers, clinical experts, and other stakeholders to solve technically challenging problems and deliver impactful solutions.
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