Senior Epidemiologist

Senior Epidemiologist

City of London Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and analyse studies, collaborate on tools, and translate data into insights.
  • Company: Join a VC-backed biotech startup revolutionising drug development in London.
  • Benefits: Enjoy a hybrid work model and competitive salary between £60,000 - £90,000.
  • Why this job: Be part of a team shaping the future of healthcare with impactful data solutions.
  • Qualifications: MSc/PhD in Epidemiology or related field; strong coding skills in SQL and R/Python required.
  • Other info: Ideal for those passionate about real-world evidence and innovative product development.

The predicted salary is between 48000 - 72000 £ per year.

A VC-backed biotech startup in London is looking for a senior-level epidemiologist / RWE programmer with strong coding skills to join their growing medical function. You’ll be part of a company that’s challenging the traditional drug development model - building internal tools, partnering with biopharma teams, and delivering strategic, data-led solutions across the lifecycle of a development programme. This is a hands-on, hybrid role that combines scientific depth with software fluency. Ideal for someone who thrives at the intersection of real-world evidence, clinical data, and high-impact product development.

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/PhD in Epidemiology, Pharmacoepidemiology or a science-based subject (biochemistry etc)
  • Strong coding skills in SQL plus R or Python (this is non-negotiable)
  • 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
  • Experience building tools or reproducible workflows in collaboration with software engineers
  • 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.

Apply with a copy of your CV to: j.phillips@cubiqrecruitment.com

Senior Epidemiologist employer: Cubiq Recruitment

Join a dynamic VC-backed biotech startup in London that is redefining drug development through innovative, data-driven solutions. With a strong emphasis on collaboration and employee growth, this company offers a vibrant work culture where your contributions directly impact the future of healthcare. Enjoy the benefits of a hybrid work model, competitive salary, and the opportunity to work alongside passionate professionals at the forefront of medical advancements.
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Contact Detail:

Cubiq Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Epidemiologist

✨Tip Number 1

Network with professionals in the biotech and epidemiology fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in real-world evidence and drug development.

✨Tip Number 2

Showcase your coding skills by contributing to open-source projects or creating your own data analysis tools. This not only demonstrates your technical abilities but also your initiative and passion for the field.

✨Tip Number 3

Familiarise yourself with the latest regulatory trends and methodologies in epidemiology. Being well-versed in current practices will help you stand out as a candidate who is ready to contribute from day one.

✨Tip Number 4

Prepare to discuss your experience with end-to-end observational studies in detail during interviews. Be ready to explain your role, the challenges you faced, and how you overcame them, as this will highlight your problem-solving skills and expertise.

We think you need these skills to ace Senior Epidemiologist

Epidemiological Study Design
Statistical Analysis
Strong Coding Skills in SQL
Proficiency in R or Python
Real-World Evidence (RWE) Programming
Regulatory Writing (Protocols, SAPs, CSRs)
Knowledge of Coding Systems (ICD, SNOMED, GPI, HCPCS)
Experience with Real-World Data Sources (Claims, EHR, Registries)
Propensity Score Matching
Inverse Probability Weighting
Instrumental Variable Analysis
Data Cleaning and Management
Excellent Communication Skills
Collaboration with Software Engineers
Understanding of Product Development Processes in Life Sciences

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your MSc/PhD in Epidemiology or related fields, along with your strong coding skills in SQL and R or Python. Emphasise any experience you have with real-world datasets and observational studies.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company’s mission. Discuss how your background aligns with their needs, particularly your experience in study design and regulatory writing.

Showcase Relevant Experience: When detailing your work history, focus on specific projects where you applied causal inference techniques or collaborated with engineering teams. Highlight any tools or workflows you built that contributed to RWE applications.

Prepare for Technical Questions: Given the technical nature of the role, be ready to discuss your coding skills and methodologies in detail. Prepare examples of how you've handled complex data and the outcomes of your analyses.

How to prepare for a job interview at Cubiq Recruitment

✨Showcase Your Coding Skills

Since strong coding skills in SQL and R or Python are non-negotiable, be prepared to discuss your experience with these languages. Consider bringing examples of past projects where you applied these skills, especially in the context of epidemiology or real-world evidence.

✨Demonstrate Your Understanding of Study Design

Be ready to talk about your experience with designing and analysing non-interventional studies. Highlight specific methodologies you've used, such as propensity score matching or IP weighting, and how they contributed to the validity of your studies.

✨Communicate Complex Ideas Simply

Excellent communication skills are crucial for this role. Practice explaining complex epidemiological concepts in a straightforward manner, as you'll need to distil findings for various audiences, including internal stakeholders and regulators.

✨Familiarise Yourself with Regulatory Trends

Understanding regulatory trends around pragmatic trials and external control arms is important. Research recent developments in these areas and be prepared to discuss how they might impact your work and the company's strategy.

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