Clinical Data Science Lead (RWE & Predictive Analytics)

About Us

Ampersand Health is building the world’s first agentic hospital for long-term inflammatory conditions. We specialise in digital therapies and data-driven care for people living with immune-mediated diseases such as Crohn’s, Colitis, Rheumatoid Arthritis, and Psoriasis. Our vision is a future in which patients benefit from personalised medicine and precision care, powered by AI and real-world data.

Founded by doctors and patients, we partner with the healthcare systems, charities, and pharmaceutical companies to support people from diagnosis to sustained remission. Our platform combines behavioural science, clinical expertise, longitudinal real-world data, and AI-driven prediction models to improve health outcomes and quality of life.

We are part of the NHS Innovation Accelerator, recognised in the Digital Health Global 100, and have won awards from Innovate UK, the HSJ, NHSX, and others. We are a mission-driven, evidence-based UK company with a growing international footprint.

The Role

We are seeking a Clinical Data Science Lead to sit at the intersection of real-world evidence, biostatistics, and applied machine learning.

This is a senior, hands-on role responsible for:

• Owning the analytical integrity of our RWE insights business line
• Advancing and productionising our flare prediction models
• Embedding rigorous statistical reasoning into all predictive and observational analyses
• Supporting the evolution of our AI-enabled products, including Elena, our new assistant

You will work closely with the CEO, clinical leadership, product, and engineering teams to ensure that Ampersand’s data assets are scientifically defensible, commercially valuable, and technically robust.

This is not a pure research role and not a pure engineering role. It is a hybrid role requiring clinical understanding, statistical discipline, and applied ML capability.

Responsibilities

RWE & Observational Insight Generation

• Design and execute robust observational analyses using longitudinal real-world data.
• Define and validate endpoints, cohorts, and phenotypes for commercial RWE programmes.
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• Lead analyses on disease burden, symptom trajectories, escalation dynamics, and treatment patterns.
• Apply appropriate statistical methods to address bias, confounding, and missingness.
• Ensure outputs are scientifically defensible and credible in discussions with pharma Medical Affairs and RWE teams.
• Contribute to data dictionaries, methodological documentation, and repeatable analytic frameworks.

Predictive Modelling & Flare Prediction

• Own and evolve Ampersand’s flare prediction models using longitudinal PRO and wearable data.
• Build, deploy and maintain production ready end to end ML pipelines
• Develop, validate, and monitor time-series and classification models.
• Implement rigorous cross-validation and performance evaluation strategies.
• Design and implement model monitoring processes including drift detection and recalibration.
• Work with engineering to ensure models are production-ready and reproducible.

Product Analytics

• Design and evaluate personalisation logic and segmentation strategies.
• Support A/B testing and experimentation frameworks.
• Develop metrics to assess predictive and behavioural performance.
• Contribute to the evaluation of AI-driven features in a clinically responsible way.

Data Systems & Technical Stewardship

• Build and maintain reproducible data pipelines
• Ensure analytic workflows are version-controlled and well documented.
• Contribute to best practices in data governance, validation, and quality assurance.
• Support structured, rapid data cuts for commercial RWE collaborations.

Internal Strategy & Clinical Collaboration

• Work closely with clinical leadership to ensure analyses reflect real-world care pathways.
• Translate statistical and ML outputs into clinically meaningful narratives.
• Provide input into product roadmap decisions based on empirical findings.
• Contribute to investor and partner-facing materials where data credibility is critical.

About You

• You are comfortable operating at the intersection of clinical medicine, statistics, and machine learning.
• You understand that observational insight requires rigour, not just models.
• You care about bias, endpoint validity, and defensibility.
• You are hands-on and pragmatic, capable of writing code as well as shaping analytical strategy.
• You are intellectually rigorous and commercially aware.
• You want your work to directly influence patient outcomes and system-level care.

Requirements

Must-Have

• 4–7+ years experience in health data science, biostatistics, epidemiology, or applied ML in healthcare.
• Strong statistical foundation including regression modelling, survival analysis, mixed models, and causal inference.
• Experience working with longitudinal or time-series health data.
• Proficiency in Python and SQL.
• Demonstrated experience building and validating predictive models using ReNN
• Strong understanding of bias, confounding, missing data, and real-world study design.
• Ability to communicate findings clearly to clinical and non-technical stakeholders.

Highly Desirable

• Experience in RWE within pharma, CRO, NHS, or health tech environments.
• Experience working with immunology, inflammation, or long-term conditions.
• Experience with LLM integrations, agentic architecture and PydanticAI
• Experience deploying models into Azure production environments.
• Experience with Azure, Azure Data Factory and Azure AI Foundry
• Familiarity with wearable data or digital health platforms.
• Exposure to regulated or governance-heavy healthcare environments.

What This Role Is Not

• Not a bioinformatics position.
• Not a dashboard or BI-only analytics role.
• Not a purely academic research role detached from product and delivery.
• Not a pure machine learning engineering infrastructure role.

Why Ampersand Health?

You will join a focused, ambitious team building one of the most distinctive data assets in immunology and inflammation globally.

In addition, we offer:

• Employee share option scheme
• Hybrid, flexible working patterns
• 9 day fortnights
• Company pension scheme
• 24 days annual leave