Endure Capital

Clinical Research

• Managing the day-to-day operational delivery of the study, including timelines, milestone tracking, and documentation.
• Developing and maintaining study materials – e.g. protocol documentation, participant information sheets, and consent forms.
• Coordinating patient recruitment and randomisation in line with the study protocol.
• Owning participant communications from invitation through to study closure, ensuring a high-quality patient experience.
• Coordinating quantitative and qualitative data collection across both study arms, in collaboration with the data science team.
• Maintaining accurate study documentation – e.g. participant records, protocol deviations, and operational logs.
• Supporting the preparation of monthly performance reports, interim analysis, and the final study report.
• Liaising across internal teams (data, coaching operations, clinical teams, platform) and with the external Lilly project team as required.
• Collaborating with the Senior Behavioural Medicine team to design, develop, and iteratively refine the 6-week autonomy-supportive group coaching series.
• Applying evidence-based behaviour change frameworks (COM-B, Self-Determination Theory, Motivational Interviewing, BCTs) to session structure and content.
• Developing the full suite of session materials: facilitator guides, participant workbooks, activity prompts, and follow-up email content.
• Designing the MBQ phenotype-feedback process for participants, ensuring the autonomy and personalisation lever is activated effectively from Week 1.
• Supporting the piloting and refinement of the intervention ahead of launch, incorporating participant and coach feedback.
• Developing and maintaining intervention fidelity documentation and coaching quality standards for the delivery team, working with key stakeholders to ensure safe delivery, appropriate escalation pathways, and clinical oversight of coaching content.
• Delivering the 6-week group coaching series to intervention arm participants via live virtual sessions.
• Applying the MBQ-informed, autonomy-supportive coaching approach, tailoring facilitation to the phenotype profiles and individual needs within each cohort.
• Using evidence-based techniques including motivational interviewing, values clarification, goal-setting, self-efficacy building, and environmental design.
• Maintaining accurate session records and contributing observational data to the qualitative outcome stream.
• Supporting participant retention and engagement throughout the programme, proactively identifying and addressing disengagement risk.
• Escalating any clinical or safeguarding concerns in line with Numan's protocols.

Intervention & Research Coordinator – Clinical Research

General

• Own workforce planning, capacity modelling and resourcing strategy for our clinical function.
• Build forecasting models, capacity plans and efficiency initiatives.
• Set up tools, processes and rhythms needed for resourcing the business.
• Handle day-to-day resourcing decisions that keep the clinical team running smoothly.
• Report to the Head of Clinical Operations with a path to broader Resourcing leadership.

Lead Resource and Planning Coordinator

Full-stack Engineer

• Set the technical direction and design quality within your team, making the local trade-offs between scope, speed, and quality.
• Ensure your team's systems are highly reliable, observable, and operationally ready.
• Own the software development lifecycle, keeping the team inside our engineering guardrails or explicitly logging exceptions.
• Partner with your Engineering Lead and the Director of Technical Strategy to keep your team's technical decisions aligned with Numan’s broader vision.
• Lead a team that owns problems from initial shaping right through to measuring the live result.
• Ensure every engineer can explain *why* their work matters to the customer and exactly which metric it aims to move.
• Use feature flags, incremental rollouts, and rapid rollbacks to test signals before committing to heavy technical investments.
• Partner with Product and Design to co-author OKRs, manage a short 2-4 week portfolio of bets, and decide the order of implementation.
• Hire, line-manage, and mentor your engineers. You will own their performance, personal growth, and career development.
• Own the health, efficiency, and psychological safety of the team, ensuring an honest environment where people thrive.

Tech Lead

Technical Product Manager

• Lead the product direction and roadmap for the decision platform, from long-term strategy down to the detail of how a rule actually works.
• Decide which features and capabilities create the most scalable value, balancing near-term execution with strategic bets.
• Establish and systematically track the success metrics for the platform.
• Set the direction for how the platform uses AI and machine learning, embedding predictive and supervised learning systems into production.
• Build self-learning systems so the platform continuously improves on its historical recommendations while keeping safety and explainability central.
• Read and reason about system architecture. Act as a credible equal in technical debates with engineers, making sharp trade-offs between speed-to-value and long-term scalability.
• Help shape the product side of the platform's regulatory direction, including the decision to build it as Software/AI as a Medical Device (SaMD).
• Work fluently with sensitive patient data, partnering with clinical and quality colleagues to ensure safety and patient trust fundamentally shape the roadmap.
• Proactively show engineering, clinical, design, and other product teams what the platform makes possible, while staying pragmatic about what they can absorb today.