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Senior AI Scientist
Remote (US), $180,000 to $210,000 base salary
This is a rare opportunity to join a scaling health tech organisation where advanced AI research directly impacts patient outcomes at national scale. You will work on clinically meaningful problems, take ownership of cutting edge research, and see your work deployed into real world healthcare products.

The Company
They are a well funded, high growth health tech business operating at the intersection of AI, data science and clinical care. Their technology focuses on improving diagnostic accuracy in medical imaging, helping reduce misdiagnosis and increase trust in healthcare decisions. Backed by significant venture funding, they partner with large employers and insurers to improve access to high quality care across the US.

The Role
As a Senior AI Scientist, you will play a key role in shaping research direction and translating innovation into production systems.

• Design and develop deep learning models applied to medical images and clinical text
• Lead end to end research projects from idea generation through evaluation and deployment
• Collaborate closely with AI researchers, ML engineers, data scientists and clinical experts
• Drive innovation through experimentation, publication and conference representation
• Contribute to technical decision making at the boundary of AI research and clinical products

Your Skills and Experience

• Strong commercial or academic experience in deep learning using Python and PyTorch
• Proven ability to lead and own research projects independently
• Hands on experience training models at scale, including GPU or cluster based workflows
• Comfort working in Linux or Ubuntu environments
• Experience with AI operations or engineering practices such as Docker and model deployment
• Exposure to healthcare or medical imaging AI is highly beneficial
• A publication record in applied AI or medical AI is advantageous

What They Offer

• Base salary between $180,000 and $210,000, with flexibility for exceptional candidates
• Fully remote role with no travel requirement
• A zero cost health insurance plan option
• Strong visibility across the organisation and clear progression as a senior individual contributor
• The chance to work on impactful AI that directly improves patient care

How to Apply
Apply now to learn more about this opportunity and how your AI research could make a real difference in healthcare.

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Senior AI Scientist

Cambridge, MA – 4 days onsite

$200,000 – $220,000 + bonus + equity

THE COMPANY

Harnham is partnering with a well-funded biotech startup that is developing an AI-driven approach to more personalized cancer monitoring-integrating proprietary methods, diverse datasets, and evolving diagnostic capabilities to support ongoing care for individuals with elevated risk. The team brings experience across genomics and health data modeling, applying these foundations toward new screening and recommendation approaches, with a focus on translating research into practical clinical applications.

RESPONSIBILITIES

• Research Strategy & State of the Art – Stay current with advances in AI, genomics, and oncology, identifying high-impact opportunities and shaping the research roadmap.
• Model Development – Design, train, and evaluate ML models for biomarker detection, risk stratification, longitudinal monitoring, and decision-support systems for screening and survivorship.
• Publications & Scientific Communication – Contribute to peer-reviewed publications, conference papers, and technical reports; engage with academic and research communities.
• Research to Production – Collaborate with engineering teams to bring research into production, including adapting foundation models and integrating multi-modal approaches into clinical workflows.
• Evaluation & Rigor – Develop robust experimental frameworks and validation protocols to ensure scientific integrity and clinical reliability.
• Collaboration – Work cross-functionally with clinicians, researchers, product managers, and engineers to align research initiatives with clinical and product priorities.

SKILLS AND EXPERIENCE

• PhD in machine learning, computational biology, bioinformatics, or a related field
• Strong publication record in applied AI and/or AI in healthcare or biology
• Hands-on experience building and evaluating ML models; proficiency in Python and frameworks like PyTorch, JAX, or TensorFlow
• Familiarity with cloud-based accelerators (GPU/TPU) and modern ML pipelines
• Solid software engineering practices (version control, testing, code review)
• Clear scientific communication skills across technical and clinical audiences
• Experience with biomedical data (e.g., genomics, pathology, EHRs)
• Track record of translating research into real-world impact
• Startup or entrepreneurial experience, especially building systems from zero to one

BENEFITS

The compensation package contains a base salary, bonus, equity and a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Artificial Intelligence | AI | Deep Learning | Machine Learning | ML Scientist | Research | Applied Research | Production | Real Time | Cancer Detection | Statistics | Reinforcement Learning | Foundation Modeling | Foundational Models | Anomaly Detection | Publications | Biotech | Health-tech | Genomics | Oncology | Pathology | EHR | Electronic Health Records | GPU | TPU | Startup

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