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Principal / Senior Statistician – Digital Trials & Biomarker Research Location: London Bridge (Hybrid, minimum 3–4 days on site, with regular presence in South East London) Contract: 3-year academic contract with renewal BioTalent has partnered with a globally recognised academic research programme to appoint a Principal / Senior Statistician into a large-scale, multi-country initiative at the forefront of digital trials, AI, and clinical research innovation. This is a leadership role focused on shaping how next-generation trials are designed and delivered. You will not be stepping into a traditional academic post. This is about real-world impact, influencing programme direction, and setting methodological standards across a global consortium. The Opportunity You will take ownership of methodological strategy across a £35M research programme spanning 60,000 participants across multiple countries, focused on maternal and early childhood health. Working directly with senior clinical and scientific leadership, you will help define how statistical, epidemiological, and machine learning approaches are applied to complex, real-world datasets and digital trial environments. This is a rare opportunity to influence how decentralised and AI-enabled trials are built at scale. What You’ll Be Doing • Set the methodological direction for observational and interventional digital trials, • Lead study design, including decentralised and AI-enabled trial frameworks, • Drive innovation across biostatistics, epidemiology, and machine learning, • Act as a senior advisor across a global, multi-partner research consortium, • Oversee development and validation of digital health and AI-based interventions, • Ensure alignment with regulatory, ethical, and governance frameworks such as GDPR and GCP, • Lead and mentor researchers, building capability across statistical and computational methods, • Contribute to high-impact publications, grant funding, and external visibility, • Influence best practice and standards in digital and AI-enabled clinical research, • Represent the programme externally across international forums What They’re Looking For • PhD in Biostatistics, Epidemiology, Bioinformatics, Computational Biology or similar, • Strong experience designing or leading clinical or observational studies, • Proven ability to operate at a strategic and methodological level, • Strong programming capability in R and/or Python, • Experience working with large-scale clinical, biological, or digital health datasets, • Confidence influencing senior stakeholders across academic, clinical, and technical teams Nice to have: • Experience with decentralised or digital trials, • Exposure to machine learning methods in healthcare, • Background in multi-partner or international research programmes Why This Role • Genuine influence over study design and programme direction, not just analysis delivery, • Work at the intersection of clinical research, AI, and global health, • Access to one of the most ambitious digital trial datasets in academia, • Long-term opportunity, structured as a 3-year academic contract with strong renewal expectation and clear pathways into extended or permanent roles If you’re looking for a role where you can shape how trials are run, not just analyse them, this is worth a conversation.

Principal / Senior Statistician – Digital Trials & Biomarker Research Location: London Bridge (Hybrid, minimum 3–4 days on site, with regular presence in South East London) Contract: 3-year academic contract with renewal BioTalent has partnered with a globally recognised academic research programme to appoint a Principal / Senior Statistician into a large-scale, multi-country initiative at the forefront of digital trials, AI, and clinical research innovation. This is a leadership role focused on shaping how next-generation trials are designed and delivered. You will not be stepping into a traditional academic post. This is about real-world impact, influencing programme direction, and setting methodological standards across a global consortium. The Opportunity You will take ownership of methodological strategy across a £35M research programme spanning 60,000 participants across multiple countries, focused on maternal and early childhood health. Working directly with senior clinical and scientific leadership, you will help define how statistical, epidemiological, and machine learning approaches are applied to complex, real-world datasets and digital trial environments. This is a rare opportunity to influence how decentralised and AI-enabled trials are built at scale. What You’ll Be Doing • Set the methodological direction for observational and interventional digital trials, • Lead study design, including decentralised and AI-enabled trial frameworks, • Drive innovation across biostatistics, epidemiology, and machine learning, • Act as a senior advisor across a global, multi-partner research consortium, • Oversee development and validation of digital health and AI-based interventions, • Ensure alignment with regulatory, ethical, and governance frameworks such as GDPR and GCP, • Lead and mentor researchers, building capability across statistical and computational methods, • Contribute to high-impact publications, grant funding, and external visibility, • Influence best practice and standards in digital and AI-enabled clinical research, • Represent the programme externally across international forums What They’re Looking For • PhD in Biostatistics, Epidemiology, Bioinformatics, Computational Biology or similar, • Strong experience designing or leading clinical or observational studies, • Proven ability to operate at a strategic and methodological level, • Strong programming capability in R and/or Python, • Experience working with large-scale clinical, biological, or digital health datasets, • Confidence influencing senior stakeholders across academic, clinical, and technical teams Nice to have: • Experience with decentralised or digital trials, • Exposure to machine learning methods in healthcare, • Background in multi-partner or international research programmes Why This Role • Genuine influence over study design and programme direction, not just analysis delivery, • Work at the intersection of clinical research, AI, and global health, • Access to one of the most ambitious digital trial datasets in academia, • Long-term opportunity, structured as a 3-year academic contract with strong renewal expectation and clear pathways into extended or permanent roles If you’re looking for a role where you can shape how trials are run, not just analyse them, this is worth a conversation.

Statistician / Computational Scientist – Digital Trials (Hands-On Research Track) Location: London Bridge (Hybrid, minimum 3–4 days on site, with regular presence in South East London) Contract: 3-year academic contract with renewal BioTalent has partnered with a leading academic programme to hire a Statistician / Computational Scientist into a high-impact research environment focused on digital trials, real-world data, and biomarker-driven research. This role is ideal for someone who wants to stay hands-on. You’ll be working directly with complex clinical and digital datasets, contributing to how next-generation trials are analysed and interpreted, without being pushed into people management or academic bureaucracy. The Opportunity You’ll be working across large-scale observational and interventional datasets, applying statistical and computational approaches to real-world clinical and digital health data. The focus is on meaningful research output and impact, not admin or teaching. You’ll collaborate with clinicians, data scientists, and researchers to generate insights that directly shape study decisions and outcomes. What You’ll Be Doing • Conduct exploratory and applied analysis across clinical, translational, and digital health datasets, • Apply statistical and computational methods using R and/or Python, • Support the design and evaluation of digital and decentralised trials, • Work closely with cross-functional teams across clinical, academic, and technical groups, • Translate complex data into clear, actionable insights, • Build reproducible pipelines and analytical workflows, • Integrate machine learning approaches alongside classical statistical methods, • Contribute to publications and research outputs, • Work through real-world data challenges such as missingness, adherence, and data quality What They’re Looking For • PhD in Biostatistics, Bioinformatics, Computational Biology, Epidemiology or similar, • Strong hands-on experience with clinical, biological, or health datasets, • Solid programming skills in R and/or Python, • Experience working with real-world data, omics, or digital health datasets, • Strong data interpretation and communication skills, • Interest in translational or clinical research Nice to have: • Exposure to clinical trials or oncology research, • Experience with machine learning methods, • Familiarity with EHR, wearables, or decentralised trial data Why This Role • Proper hands-on research role without forced people management, • Work on genuinely complex, real-world datasets at scale, • Collaborate across clinical, academic, and technical teams, • Long-term stability within a major funded programme, despite academic contract structure If you want to stay close to the data, build real insight, and work on research that actually changes how trials are run, this is a strong move.

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 Visa sponsorship is not available, so please only apply if you have full UK working rights

Connect2Hackney, the internal talent team for the London Borough of Hackney, one of London’s most vibrant, diverse, and dynamic boroughs. We are committed to building a fairer, healthier, and more equitable community for everyone who lives and works here. We are looking for a visionary leader to step into the role of Principal Public Health Analyst. In this pivotal position, you will lead our public health intelligence function, driving forward population health management within our emerging Integrated Care System (ICS) to improve health outcomes and aggressively tackle health inequalities across both the London Borough of Hackney and the City of London. The Role As our Principal Public Health Analyst, you will be the strategic lead for the Public Health Insights Team. You will ensure that high-quality, complex epidemiological and statistical analyses are transformed into actionable insight at both operational and strategic levels. You will manage high-risk projects, collaborate closely with senior leaders, Directors, and elected Members, and champion data-driven decision-making across the council and our broader healthcare partnerships. Key Responsibilities • Manage and develop a dedicated team of four analysts, while fostering analytical confidence, data literacy, and a culture of continuous learning across the wider workforce., • Oversee the provision and interpretation of complex public health data across a wide range of datasets (such as mortality, morbidity, births, and hospital data) using cutting-edge visualization tools., • Develop and scale health and business intelligence data pipelines and platforms, ensuring robust information governance, data protection, and confidentiality principles are maintained., • Act as the expert voice on epidemiological and statistical trends, guiding commissioning, service design, and policy evaluation for the Council and the Integrated Care System. About You We are seeking an analytical expert who balances deeply technical expertise with excellent communication skills, enabling you to translate highly complex data into compelling narratives for non-specialist audiences. Your Technical Knowledge & Qualifications: • A formal qualification (preferably postgraduate degree level) in a relevant public health discipline, or equivalent deep experience., • Highly specialist knowledge of statistical techniques, population health measures (e.g., life expectancy, standardisation), and epidemiology., • Thorough working knowledge of coding-based analysis (Python, R, or SQL) and business intelligence platforms (Tableau or similar)., • Active engagement with continued professional development, including practical experience using AI tools and generative platforms responsibly to automate and generate data insights., • Experience working with large, complex datasets, critical data appraisal, and a strong understanding of data security and Information Governance. Your Experience & Leadership Style: • Substantial experience at a senior level within a public health or intelligence-focused role., • Proven track record of managing service change, setting clear strategic objectives, and navigating political drivers or cross-organisational partnerships., • High-level negotiation, advocacy, and presentation skills., • A passionate commitment to diversity, equity, and inclusive service delivery that supports our disadvantaged groups and aligns with our vision for a better Hackney. What We Offer By joining Hackney, you will be part of a forward-thinking, "one organisation" culture that actively promotes sustainability, staff development, and workplace flexibility. This is a unique opportunity to use your advanced technical skill set to make a tangible, positive impact on real lives.

We are working with a leading global biopharmaceutical organisation committed to advancing innovative therapies that improve patient lives. Their Health Technology Assessment (HTA), Value & Evidence (HV&E) team plays a critical role in ensuring patients gain timely and affordable access to medicines through robust evidence generation and value demonstration. We are seeking an HV&E Manager to join their Global team. This is a dynamic hybrid role combining project coordination with scientific leadership in Health Economics & Outcomes Research (HEOR) and real-world evidence (RWE). Key Responsibilities Project & Operational Management • Act as a central point of contact for study, budget, and project tracking, • Manage budgets, invoicing, contracting, and compliance processes, • Coordinate with vendors, internal teams, and external experts (KOLs), • Ensure timely delivery of projects and maintain accurate documentation in internal systems and public registries, • Perform quality control (QC) of protocols and vendor deliverables Scientific & Research Activities • Manage real-world evidence (RWE) studies aligned with strategic objectives, • Contribute to study design, methodology, and analysis plans, • Collaborate with subject matter experts on interpretation of study results, • Support development and execution of publication strategies, • Oversee manuscript development and journal submissions Publications & Evidence Dissemination • Track and manage global publication activities, • Liaise with internal teams and external partners on publication timelines, • Ensure high-quality scientific communication outputs Required Qualifications • Advanced degree (MSc or PhD) in:, • Health Economics, • Epidemiology, • Public Health, • Health Services Research or related field, • Minimum 2+ years of relevant experience (pharma, consulting, or academia) Strong understanding of: • HEOR methods, • Observational study design, • Real-world data analysis, • Demonstrated project management and organisational skills, • Excellent written and verbal communication, • Ability to work independently and manage multiple priorities, • Proficiency in MS Office (Excel, PowerPoint, Word) Preferred Experience • Prior experience in pharma or HEOR consulting, • Experience working with global stakeholders and external vendors Salary - £33 p/h PAYE Duration - 23 Month contract Hours - 37 hours p/w If you feel you fit the profile, please apply or send me a message - jamie.keith@cpl.com

Statistician / Computational Scientist – Digital Trials (Hands-On Research Track) Location: London Bridge (Hybrid, minimum 3–4 days on site, with regular presence in South East London) Contract: 3-year academic contract with renewal BioTalent has partnered with a leading academic programme to hire a Statistician / Computational Scientist into a high-impact research environment focused on digital trials, real-world data, and biomarker-driven research. This role is ideal for someone who wants to stay hands-on. You’ll be working directly with complex clinical and digital datasets, contributing to how next-generation trials are analysed and interpreted, without being pushed into people management or academic bureaucracy. The Opportunity You’ll be working across large-scale observational and interventional datasets, applying statistical and computational approaches to real-world clinical and digital health data. The focus is on meaningful research output and impact, not admin or teaching. You’ll collaborate with clinicians, data scientists, and researchers to generate insights that directly shape study decisions and outcomes. What You’ll Be Doing • Conduct exploratory and applied analysis across clinical, translational, and digital health datasets, • Apply statistical and computational methods using R and/or Python, • Support the design and evaluation of digital and decentralised trials, • Work closely with cross-functional teams across clinical, academic, and technical groups, • Translate complex data into clear, actionable insights, • Build reproducible pipelines and analytical workflows, • Integrate machine learning approaches alongside classical statistical methods, • Contribute to publications and research outputs, • Work through real-world data challenges such as missingness, adherence, and data quality What They’re Looking For • PhD in Biostatistics, Bioinformatics, Computational Biology, Epidemiology or similar, • Strong hands-on experience with clinical, biological, or health datasets, • Solid programming skills in R and/or Python, • Experience working with real-world data, omics, or digital health datasets, • Strong data interpretation and communication skills, • Interest in translational or clinical research Nice to have: • Exposure to clinical trials or oncology research, • Experience with machine learning methods, • Familiarity with EHR, wearables, or decentralised trial data Why This Role • Proper hands-on research role without forced people management, • Work on genuinely complex, real-world datasets at scale, • Collaborate across clinical, academic, and technical teams, • Long-term stability within a major funded programme, despite academic contract structure If you want to stay close to the data, build real insight, and work on research that actually changes how trials are run, this is a strong move.

Sound methodological training in epidemiology outcomes research health economics or related area relevant to observational health research. Assist in organizing and managing research projects including contribution to development of study protocols reports and data collection methods arranging and a

A national health agency is seeking a Scientist to develop surveillance systems for vaccine-preventable diseases.The ideal candidate will have a strong background in epidemiology, proficiency in relational databases, and excellent analytical skills.This role is based in London with a hybrid work mod

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The Council of State and Territorial Epidemiologists is seeking an Associate Director for Epidemiology (Global Health) to provide scientific leadership in disease epidemiology. Candidates should have a Master’s degree in Epidemiology and experience in global health, with a salary from CAD 129,000

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Dir, Epidemiology Pipeline (TA-Oncology). Graduate degree in Epidemiology, Statistics, or Public Health (Master’s; Doctorate preferred).

WISE Campaign is looking for a strategic leader in epidemiology to spearhead a global team focused on Vaccines and Infectious Diseases. Candidates should possess a PhD or MD with MPH, and have a background in vaccine or infectious disease epidemiology.

Dir, Epidemiology Pipeline (TA-Oncology). Graduate degree in Epidemiology, Statistics, or Public Health (Master’s preferred; Doctorate preferred).

GlaxoSmithKline is seeking a strategic leader in epidemiology to head a global team focused on Vaccines and Infectious Diseases.

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We're currently looking for individuals across the country to take part in remote paid research, including remote focus groups, product trials, and consumer studies.Earn up to £700 a week in your free time by providing feedback on everyday products and services.If you're comfortable sharing your op

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We're currently looking for individuals across the country to take part in remote paid market research, including online focus groups, product trials, and consumer studies.Earn up to £700 a week in your free time by providing feedback on everyday products and services.If you're comfortable sharing

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Our client is looking to appoint an experienced Project Validation Technician to help deliver their extended business portfolio of project services and further support our clients and suppliers, we have created an exciting opportunity.In this role, you will be responsible for providing project, tech