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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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Research Scientist Human Attention and Spatial AI

London – Remote – x2 a month visits

The Role
You will design and build models that predict, interpret, and simulate human attention and behaviour in visual and spatial contexts. Working closely with the founders, you will influence both the technical roadmap and future diversification into new application areas.
Key responsibilities include:

• Developing machine learning and computer vision models focused on human attention, perception, and intent
• Designing and running experiments independently across visual and spatial data
• Working with multimodal and temporal data such as gaze, motion, and interaction signals
• Contributing to new research directions and exploratory projects beyond the initial domain
• Publishing research in leading academic venues while working on applied problems

Your Skills and Experience

• PhD or near completed PhD, or equivalent research experience, in computer vision, machine learning, neuroscience, cognitive science, robotics, HCI, or a related field
• Strong publication record, ideally at venues such as CVPR or ICCV, or equivalent research output
• Hands on experience with Python and deep learning frameworks such as PyTorch or TensorFlow
• Ability to design, run, and analyse machine learning experiments end to end
• Clear interest in human behaviour, perception, attention, or cognitive modelling
• Comfortable working in a very small team with ambiguity and open ended research problems

Useful or Nice to Have

• Gaze modelling, eye tracking, visual saliency, or attention modelling
• Spatial AI, 2D or 3D vision, simulation, or digital twins
• EEG or other physiological signals combined with computer vision
• Multimodal or temporal modelling, egocentric video, or embodied AI

What They Offer

• Meaningful equity as an early and influential hire
• Flexibility on location across London, Bristol, or remote working
• Freedom to continue publishing and shaping your own research agenda
• The chance to work directly with founders and have real ownership over technical direction

How to Apply
If you are excited by human centred computer vision and want to take on a founding level research role in a small, ambitious team, apply to find out more.

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Senior AI Scientist (Research)
United States | $170,000 to $190,000 base salary plus bonus and benefits

This role offers the chance to apply deep learning to high-impact healthcare problems, working with complex medical imaging and clinical data to directly improve diagnostic quality and patient outcomes.

The Company
They are a healthcare technology organisation using clinically validated, AI-driven solutions to improve quality of care at scale. Working across providers and payers, they focus on applying rigorous science to real-world clinical challenges. Their platforms support better decision-making across the patient journey and have national-level reach.

The Role

• Develop and deploy deep learning models to reduce misdiagnosis and improve care quality
• Research and evaluate new AI methods across medical images and clinical text
• Work with large, diverse healthcare datasets and modern cloud and on-prem compute
• Collaborate closely with AI scientists, engineers and clinical experts
• Contribute to publications, conferences, and the wider research roadmap
• Support and mentor other researchers within the team

Your Skills & Experience

• Strong commercial or applied research experience in deep learning
• Advanced knowledge of modern computer vision and or NLP techniques
• Hands-on experience with Python and PyTorch
• Proven ability to drive independent research from idea to evaluation
• Clear communicator, comfortable working in multidisciplinary teams
• Experience with medical imaging or large-scale model training is beneficial

What They Offer

• Base salary of $170,000 to $190,000 plus discretionary bonus
• Comprehensive medical, dental and vision cover
• Flexible time off and strong focus on wellbeing
• Retirement plan and annual professional development stipend
• Clear opportunities for technical growth and research leadership

How to Apply
If you are interested in using AI research to make a tangible impact on healthcare, apply now to find out more.

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