Senior Physician Scientist - RWE/Epidemiology

Richmond Pharmacology; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading Contract Research Organisation in London seeks a Senior Physician Scientist specializing in Real-World Evidence and epidemiology. The role involves overseeing RWE studies, ensuring data quality, and integrating AI in research, contributing significantly to patient outcome improvements.

Benefits

Private Medical

Private Dental

Pension

33 days Annual leave

Qualifications

• Medical Degree required, with full GMC registration.
• Experience in epidemiological methodologies, AI integration in research.
• Postgraduate qualification in relevant fields is desirable.

Responsibilities

• Lead clinical design of RWE studies and oversee AI-assisted studies.
• Act as medical lead ensuring compliance with regulations.
• Provide strategic consultation on leveraging RWE and AI for market access.

Skills

Epidemiological research

AI tools and data analysis

Clinical design

Education

Medical Degree (MBBS, MBChB, MD or equivalent)

Postgraduate Clinical Training

Postgraduate Qualification in Epidemiology, Public Health or Clinical Research

Job description

Job Title: Senior Physician Scientist - RWE/Epidemiology

Location: On-Site (London Bridge)

Term: 12 Month Fixed Term Contract, Full-time

Salary: Competitive Salary + Benefits (Private Medical, Private Dental, Pension, 33 days Annual leave (Inclusive of bank holidays & Many more)

Richmond Pharmacology is a leading Contract Research Organisation (CRO) specialising in early-phase clinical trials for pharmaceutical and biotechnology sponsors. With a commitment to excellence and innovation, we strive to advance medical research and contribute to the development of life-changing therapies. [Add sentence on the purpose of the job]

The Role:

The main purpose of the Senior Physician Scientist - RWE/Epidemiology is to lead our expanding portfolio of real-world evidence (RWE) programmes to provide insights across target patient profiles generation, biomarker and end marker development. You would be redefining how observational data, AI tools, patient registries, and data lakes can be harnessed to advance clinical programme decision-making, regulatory insights, and market access strategies.

You Senior Physician Scientist - RWE/Epidemiology will provide medical leadership and scientific oversight for projects involving epidemiological research, retrospective database analysis, registry development, and AI-assisted data exploration.

You will lead protocol development, advise on study design and eligibility algorithms, interpret large-scale health datasets, and contribute to the generation of scientific and regulatory deliverables. Your input will directly influence how real-world data is gathered, validated to create Real World Evidence to improve patient outcomes.

Key Responsibilities:

Study Design & Oversight

• Lead the clinical design of real-world evidence studies, including retrospective cohort studies, case-control studies, database studies, patient registries, and longitudinal observational cohorts.
• Ensure sufficient patients to support the objectives of all NIS studies.
• Serve as Medical Lead on non-interventional studies, ensuring compliance with UK regulations, ICH-GCP (where applicable) and GDPR.
• Oversee medical components of AI-assisted studies, AI-assisted data lake searches, model validation, algorithmic bias review, and clinical input into machine learning outputs.
• Be the main liaison to the Principal Investigator; in collaboration with PI make decisions to include/reject participants based on protocols, clinical practice, unit guidelines.
• Collaborate in strategic planning and design of screening activities with other departments to achieve study timelines - e.g. Patient Engagement Team and Recruitment

Real-World Data Strategy & AI Integration

• Collaborate with the data science team to define clinically meaningful variables for analysis within data lakes, EHRs, claims databases, and patient registries.
• Ensure clinical relevance and regulatory alignment of RWD being used to develop AI models or predictive analytics tools.
• Integration of external structured and unstructured datasets to provide externally validated RWE

Epidemiological & Analytical Contributions

• Provide clinical interpretation of epidemiological data outputs, including incidence, prevalence, risk factor modelling, and survival analyses.
• Guide the development of disease definitions, cohort selection algorithms, and clinical phenotypes for use in large datasets.
• Review and approve data handling plans (DHPs) and data analysis plans (SAPs) from a clinical perspective to ensure scientific rigor and relevance.

Medical Writing & Regulatory

• Contribute to or review scientific documents such as: Study protocols, Statistical analysis plans (SAPs), SOM sections for GLSO, PIS/ICF sections
• Attend REC meetings and present study applications
• Support dissemination of findings through white papers, presentations, and peer-reviewed publications.
• Prepare presentations for prospective sponsors on study proposals e.g., bid defence

Stakeholder Engagement

• Act as a key medical point of contact for clients, sponsors, and regulatory authorities, supporting bid defences, project kick-offs, and ongoing delivery.
• Provide strategic consultation to clients on leveraging RWE and AI for market access, pharmacovigilance, or value demonstration.

Governance, Quality & Compliance

• Ensure studies meet MHRA, HRA, REC, and international standards for data integrity, ethics, and participant confidentiality.
• Participate in internal QA reviews, audits, and compliance checks.

Management

• Lead from study set-up to end of trial
• Assist PI with PI oversight responsibilities through regular updates and direct reporting
• Collaborate with data, biostatistics, and operational teams to ensure study objectives are met on time and to a high standard.
• Ensure Non-Conformances relating to the study are dealt with effectively and completed
• Actively seek opportunities for innovation through science and process improvement to address business needs
• Participate in Quality improvement and Quality assurance activities
• A matrix leader for all study delivery team members
• Communicate updates through communication channels (e.g., Town Hall presentations, conferences, and other external events)

Qualifications and Experience:

• Medical Degree (MBBS, MBChB, MD, or equivalent)
• Full GMC Registration
• Postgraduate Clinical Training
• Adult Life Support (ALS) certificate
• Postgraduate Qualification in Epidemiology, Public Health, or Clinical Research (Desirable)
• Training in Real-World Evidence (RWE) Methodologies (Desirable)

Application:

If you are interested in the role, please register your details, including a copy of your CV. Please note, while we try to respond to every candidate, the high volume of applications anticipated may make this impossible and we ask for your patience and understanding.