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About the Role A venture-backed TechBio company in London is hiring a senior-level epidemiologist / RWE programmer to help build the future of data-driven drug development. You’ll join a team that’s rethinking the traditional model - developing internal tools, working directly with biopharma partners, and applying real-world evidence to accelerate drug development. This role combines scientific depth with software fluency. It’s ideal for someone who thrives at the intersection of health data, analytics, and product-led strategy. Key Responsibilities • Design and analyse non-interventional studies, including regulatory-grade and exploratory projects, • Collaborate with engineering to build internal tools that support and scale RWE applications, • Engage with external partners to guide RWE strategy and deliver high-quality outputs, • Translate complex data into actionable insights for internal stakeholders and regulators, • Lead protocol and SAP development, contribute to CSRs and publication strategy, • Apply modern causal inference techniques to support study validity and robustness Ideal Candidate • MSc in Epidemiology, Pharmacoepidemiology or Health Data Science, • Strong coding skills in R or Python, • Experience delivering end-to-end observational studies using real-world datasets, • Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs), • Knowledge of coding systems (ICD, SNOMED, GPI, HCPCS) and RWD sources (claims, EHR, registries), • Familiar with regulatory trends around pragmatic trials, external control arms, and synthetic cohorts, • Skilled in handling and cleaning messy, multimodal data, • Confident using methods such as propensity score matching, IP weighting, and IV analysis, • Excellent communication skills with the ability to distil complex findings for different audiences Bonus Experience • Prior work in a startup, biotech or agile CRO, • Hands-on work with MarketScan, Flatiron Health, or Premier datasets, • Understanding of product development processes in tech-enabled life sciences companies This is an opportunity to join a company that’s not just running studies, but building the future of drug development infrastructure. If you’ve got the technical depth, strategic mindset and coding fluency to back it up - get in touch. London or Dubai (2 days per week) £70,000 - 90,000 + equity Unlimited holidays

The purpose of the role is to provide programming support to the statistics and programming department across a range of projects, therapeutic areas and functional streams within a fixed FSP model. This role will support jHTA work across Oncology, GI2 and NS, ensuring strong coordination with internal ADaM standards teams. The Senior or Principal Programmer may also perform a supervisory role (e.g., line management and/or project management) and will act as a primary point of contact where required. Key Responsibilities: Technical • Strong TLF programming expertise, including advanced use of proc report, transpose and tabulate for complex, ground‑up shell development., • Proficiency in macro programming to support standardized, scalable solutions across therapeutic areas., • Working knowledge of ADaM standards, including the ability to independently read, interpret and modify ADaM specifications., • Review clinical trial documents including protocols, SAPs, CRFs and CSRs., • Author, review and approve TFL shells and dataset specifications., • Author, validate and document SAS programs for datasets, TFLs and macros, applying good programming practice., • Read the SAP, assess programming and standards impacts, and propose changes to ADaM specifications where needed., • Identify data issues, anomalies and outliers proactively., • Complete, review and approve CDISC validation reports., • Identify standards‑related issues and resolve or escalate as appropriate., • Maintain awareness of emerging standards and assess potential impact to ongoing and upcoming trials., • Maintain proficiency in SAS and awareness of industry developments., • Maintain study master file documents and ensure all documentation is audit‑ready., • R programming experience is an advantage for expanded analytical flexibility. General • Lead internal and client‑facing study, project and cross‑functional team meetings effectively., • Present study and programming updates internally and externally., • Share scientific, technical and practical knowledge with team members and colleagues., • Perform all work in full compliance with applicable internal processes, procedures, systems and training., • Build strong collaborative working relationships with both internal teams and FSP partners., • Ensure project learnings are captured and shared appropriately., • Develop and deliver internal technical training where appropriate., • Lead or contribute to process improvement initiatives. Minimum Qualification Requirements • BSc, MSc or PhD in a numerical discipline (or equivalent relevant industry experience)., • At least 4 years of relevant industry experience. Other Information / Additional Requirements • Strong understanding of the clinical drug development process, relevant disease areas, endpoints and study designs., • Ability to work effectively across geographies with 2–3 hours of time‑zone overlap., • Experience working within an FSP model is advantageous. If you're passionate about delivering high-quality deliverables and want to make a real impact at a company that values your contribution, this role is for you. We offer flexible working options (home or office), comprehensive training, and a competitive package. Apply now! Veramed is a B Corp accredited company which means that we use the power of business to build a more inclusive and sustainable economy meeting the highest verified standards of social and environmental performance, transparency, and accountability. As an organisation that has people at the heart of it, Veramed is committed to creating a diverse environment and is proud to be an equal opportunities employer. We foster a working culture where employees have integrity, honesty and respect for one another without regard to race, national origin, religion, gender identity or expression, sexual orientation or disability. All qualified applicants will receive equal consideration for employment.