Clinical Lead – Projects and Platform (CLPP)

1. Role Summary We are seeking a permanent Clinical Lead – Projects and Platform (CLPP) to own the delivery of oncology data projects across Oncoshot’s federated hospital network. This role suits a medically trained professional with hands-on real-world evidence (RWE) experience who can translate sponsor requirements into executable delivery plans, run studies end-to-end across multiple sites, and convert delivery experience into improvements to the underlying data platform. You will be accountable for project outcomes, sponsor-facing scientific delivery, and the progressive reduction of bespoke effort required to deliver each new study. The role reports to the CEO/Chief Medical Officer, works with the CCO on sponsor engagement, and works with the CTO and COO on platform and data-model requirements. 2. Key Responsibilities • Own and lead the full project lifecycle: pre-award feasibility input, protocol and study design, data dictionary construction, extraction and curation, quality assurance, and delivery to the sponsor. • Act as the scientific and delivery lead for commissioned RWE and registry projects; manage scope, timelines, risks, dependencies, and sponsor expectations. • Author the study synopsis, protocol, and study data dictionary, and align the dictionary to the platform common data model (OS CDM), documenting variances. • Define project success criteria and evaluation frameworks aligned to sponsor objectives and to the data available across participating sites. • Coordinate extraction, curation, and audit activity across multiple participating centres and jurisdictions, working with site data and labelling teams who are not direct reports. • Establish and enforce data quality processes, working within site-hosted secure environments where patient-level data does not leave the institution. • Contribute manpower and effort estimates to pre-award budget tables, including assessment of CDM modification effort and QA burden. • Produce and maintain project artefacts: project plan, site milestone tracker, weekly status reports, and decision and query logs. • Ensure adherence to privacy, security, and regulatory requirements across jurisdictions (for example PDPA and GDPR where applicable), and coordinate ethics and IRB submissions per site. • Capture recurring delivery friction and convert it into a ranked, evidenced set of platform and data-model requirements for the CTO and CEO/Chief Medical Officer. • Build reusable dictionary components, templates, and playbooks that reduce the effort required to scope and deliver future studies. 3. Required Qualifications & Experience • Medical degree (MBBS, MD, or equivalent) is required. • At least 1 year of clinical working experience. • At least 3 years of hands-on experience delivering real-world evidence (RWE) or observational health data projects, ideally in oncology. • Working command of OMOP CDM, including the practical work of mapping a study dictionary onto a common data model and documenting variances. • Protocol and synopsis authorship, with sufficient statistical literacy to challenge an analysis plan rather than simply accept it. • Experience coordinating delivery across multiple sites, including the ethics, data agreement, and stakeholder work this entails. • Comfortable working within site-hosted secure environments where data cannot be exported, and able to run quality assurance under those conditions. • Excellent communication skills, including the ability to hold a scientific position with a sponsor’s medical lead and to translate technical findings for non-technical stakeholders. 4. Preferred Qualifications • Prior experience in a federated or distributed research network (for example EHDEN, OHDSI, or an equivalent consortium). • Exposure to more than one national data environment, particularly Japan, India, or the Netherlands. • External control arm design or health technology assessment (HTA) facing evidence work. • Publication record in oncology real-world evidence. • Comfort specifying requirements to an engineering team, including user story writing. • Familiarity with health data standards beyond OMOP (for example FHIR, CDISC, ICD, SNOMED). 5. Core Competencies • Scientific and Project Delivery: structured planning, execution discipline, and accountability for delivered data against specification. • Data & RWE Design: ability to design studies and dictionaries, and to interpret data quality and completeness on real-world oncology datasets. • Stakeholder Management: effective engagement across sponsors, site research offices, internal product and engineering teams, and clinical collaborators. • Problem Solving: analytical thinking, hypothesis-driven troubleshooting, and decision-making under uncertainty and access constraints. • Client Orientation: delivery ownership, credibility in sponsor discussions, and focus on outcomes. • Documentation & Process Design: ability to build playbooks, reusable components, and scalable delivery practices. 6. Success Measures (First 3-month probation) • Develop a project plan for the first assigned study, with clear objectives, milestones, and site-level accountabilities. • Build the study data dictionary and map it to the platform CDM, documenting variances. • Communicate the plan clearly to the sponsor and to internal teams, and track progress against it. • Identify risks, assumptions, issues, and dependencies, and propose mitigation actions. • Issue the first platform and data-model requirements observations to the CTO and CEO. 7. Working Model • Permanent full-time position after passing the probation of 3 months. • Hybrid work arrangement (subject to project and site requirements). Occasional travel to sites in Singapore and overseas may be required, concentrated around site activation and audit windows. 8. Salary Range • Indicative gross monthly salary: • Excludes CPF for PR and Singaporeans, and excludes performance bonus and benefits. An Employee Equity Share component is included; final package will commensurate with experience and seniority.