Senior AI Scientist, AI Products / Life Sciences

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Scientist, AI Products / Life Sciences based in United States.

This is a high-impact individual contributor role at the intersection of advanced machine learning, clinical science, and precision <medicine.You> will research, develop, and deploy sophisticated multimodal AI models using large-scale clinical and molecular datasets.Your work will span areas such as pathology, genomics, spatial omics, and longitudinal patient data to address complex healthcare <challenges.You> will collaborate closely with life sciences partners to advance biomarker discovery, therapy outcome prediction, and companion diagnostics.The role combines deep technical ownership with opportunities to influence real-world clinical and drug-development <applications.You> will work alongside AI scientists, engineers, and domain experts in a highly collaborative research and product environment.This is an opportunity to contribute to cutting-edge AI research while helping translate scientific innovation into healthcare products with meaningful patient impact.

Accountabilities

Lead AI research and development: Design, train, validate, and deploy state-of-the-art machine learning models that address complex problems across clinical care and the life sciences.

Drive multimodal innovation: Develop models leveraging diverse data modalities, including whole-slide pathology images, genomic DNA/RNA profiles, spatial omics, and longitudinal patient records.

Own end-to-end model development: Take significant hands-on ownership across research, experimentation, model development, validation, optimization, and production deployment.

Develop life sciences solutions: Partner with life sciences organizations to create AI applications supporting biomarker discovery, therapy outcome prediction, companion diagnostics, and related drug-development initiatives.

Translate research into products: Bridge cutting-edge AI research and practical healthcare applications, ensuring models can operate effectively and reliably in production environments.

Support regulatory and quality standards: Design and develop AI solutions in alignment with applicable healthcare regulations, quality requirements, and standards for clinical applications.

Advance scientific leadership: Contribute original research to the broader AI and healthcare communities through peer-reviewed publications, conferences, and engagement with external researchers.

Collaborate across disciplines: Work closely with AI scientists, software engineers, clinical experts, and other stakeholders to solve technically challenging problems and deliver impactful solutions.

Requirements

Education: Ph.D. in Computer Science or another relevant quantitative discipline.

Industry experience: 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.

Deep learning expertise: Demonstrated expertise in large-scale deep learning and experience training production-grade machine learning models.

Multimodal and computer vision experience: Experience with computer vision and multimodal modeling is strongly preferred, particularly involving pathology, multi-omics, or similarly complex datasets.

Healthcare AI background: Prior experience applying AI or machine learning to medical or healthcare problems is highly valued, though not required.

Research track record: Strong record of peer-reviewed publications in leading machine learning or computer vision venues; publications focused on medical or healthcare AI are a plus.

Technical proficiency: Strong Python skills and proficiency with modern deep learning frameworks such as PyTorch.

Software engineering: Product-level coding ability for model development, combined with a solid understanding of industry-standard software engineering and development practices.

Scientific mindset: Strong research instincts, analytical thinking, curiosity, and the ability to translate emerging AI techniques into practical solutions.

Collaboration: Ability to work effectively across multidisciplinary teams and communicate complex technical concepts clearly to both technical and domain-oriented stakeholders.

Growth orientation: Candidates are encouraged to apply even if their background does not perfectly match every listed qualification, provided they bring strong relevant expertise and enthusiasm for the work.

Benefits

Competitive salary: California salary ranges include approximately $125,000–$185,000 for Chicago and $150,000–$190,000 for New York City/San Francisco; compensation may vary by location, qualifications, and experience.

Additional compensation: Eligibility for incentive compensation and restricted stock units, depending on position and circumstances.

Healthcare benefits: Medical and other benefits as part of a comprehensive benefits offering.

Meaningful work: Opportunity to apply advanced AI and machine learning to precision medicine, clinical care, and life sciences.

Research opportunities: Ability to publish original research and engage with the broader global AI research community.

Collaborative environment: Work alongside multidisciplinary AI scientists, engineers, and healthcare experts on challenging, high-impact problems.

Innovation-focused culture: An environment that values curiosity, continuous learning, questioning the status quo, and tackling technically ambitious problems.

Equal opportunity: Commitment to an inclusive workplace that welcomes diverse perspectives and backgrounds.