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.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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