Senior Data Scientist (AI & Digital Twins) | HealthTech Startup | Remote (United States Only) | $150,000 – $180,000 + Equity + Benefits
The Company
Our client is a fast-growing, Series A health tech startup building an AI-first clinical intelligence platform focused on personalized healthcare, longevity, and treatment optimization.
They are using advanced machine learning and digital twin technologies to fundamentally change how patient health is modelled, predicted, and improved.
What makes this company stand out:
- AI-native healthcare platform focused on real-world clinical impact
- Cutting-edge work in digital twins and patient health simulation
- Strong collaboration between data scientists, clinicians, and engineers
- High-growth Series A environment with strong funding and ambition
- Mission-driven culture focused on improving patient outcomes and longevity
The Role
Our client is seeking a Senior Data Scientist to sit at the core of their product and AI development function. This is a hands-on, end-to-end role where your models will directly influence clinical decision-making and patient outcomes.
You will help design, build, and deploy advanced machine learning systems, with a strong emphasis on digital twin modelling and simulation-based healthcare intelligence.
Key responsibilities include:
- Building and deploying end-to-end machine learning models using Python, SQL, and Azure
- Developing digital twin and simulation-based models of patient health trajectories
- Designing and implementing synthetic data generation approaches
- Contributing to AI-driven clinical decision support systems
- Working closely with clinicians to translate complex medical data into actionable insights
- Supporting productionization of models using modern cloud infrastructure (Azure / Microsoft AI Foundry)
Your Experience
Our client is looking for a Senior Data Scientist or Machine Learning Engineer with strong production experience and a background in complex modelling environments.
You will ideally bring:
- Strong experience building and deploying production ML models
- Advanced Python and SQL skills
- Experience with Azure or similar cloud platforms (AWS / GCP also considered)
- Exposure to digital twins, simulation modelling, or systems-based ML approaches
- Experience with synthetic data generation or causal / mechanistic modelling (highly desirable)
- Ability to work in fast-paced startup environments (preferred)
- Healthcare, clinical, or life sciences experience is a plus but not essential
- Must be based in the United States
- Must hold US citizenship or Green Card (no visa sponsorship available)
If you are interested, please apply today or get in touch to discuss further.
