At a Glance
- Tasks: Join the fight against cancer by conducting impactful research and statistical analysis.
- Company: Fast-growing AI start-up dedicated to revolutionising lung cancer care.
- Benefits: Competitive salary, flexible hours, and professional development opportunities.
- Other info: Exciting hybrid work environment with excellent career growth potential.
- Why this job: Make a real difference in healthcare while working with leading experts.
- Qualifications: Postgraduate degree in a quantitative field or relevant medical experience.
The predicted salary is between 50000 - 65000 £ per year.
Do you have the passion to join the fight against cancer and improve the lives of millions? Do you want to help ensure every patient can access the best possible diagnostic and treatment decisions? If so, join our team at Optellum and help us shape the cancer care of tomorrow!
About us
We are a fast-growth AI start-up seeking to solve one of the biggest problems in healthcare: early interception and treatment of lung disease, starting with the deadliest, lung cancer. Our vision is for every lung cancer patient to be treated at the earliest stage and cured. As a company, we promise our team members:
- High impact and rewarding work.
- Professional development opportunities: grow your knowledge of diagnostics and lung cancer
- Opportunities to connect with serial entrepreneurs, world-leading AI experts, as well as key opinion-leading clinical experts around the world
- Competitive salary and benefits
- Flexible working hours from the outset, including the opportunity for hybrid working
Our initial product is the world’s first AI-powered clinical decision support software for early diagnosis of lung cancer, which enables every clinician, in every hospital, to manage their patients in the optimal way.
About the role
You will work within the multidisciplinary Clinical Evidence team, which is a mix of medical and technical personnel, on the following workstreams:
- Statistical analysis
- Perform descriptive statistics for value dossiers, papers, presentations, proposals, and marketing materials
- Calculate performance (e.g., AUC, sensitivity, specificity) and clinical utility measures
- Handle study power and sample-size calculations within the context of study design and development
- Ability to use and re-fit models typically used in healthcare (logistic regression, decision trees, GLMMs, etc.), including implementing novel methods from publications.
- Own the data analysis for ongoing research projects
- Write and maintain code for large dataset organisation and sampling
- Select datasets to answer particular scientific questions, requiring a detailed understanding of existing available datasets, parameters, and clinical requirements
- Liaise with the internal medical team to help support their workflows, and help bring their medical understanding to the rest of the company
- Clinical studies and trials
- Assist in clinical trial design and execution as part of the work supporting Optellum’s range of current and future products, across multiple countries.
- Manage partner sites in compiling and submitting documents for ethics clearance/IRB, data use agreements, and trial management documentation.
- Run check-in meetings for scientific studies, and project-manage remote sites to meet our research objectives.
- Create research protocols with partner sites to support data collection and research at their institutions.
- Run technical quality checks on incoming data, and pre- and post-processing of datasets prepared for the machine learning teams.
- Manage data platforms for HIPAA-compliant data collection and processing.
About you
We are looking for somebody who is excited to work in a healthcare setting and who has strong communication skills with both technical and clinical colleagues/collaborators.
- Knowledge of medical statistics: you have a grasp of statistical techniques and terminology, and are familiar with sensitivity/specificity, ROC and AUC analysis, power calculations, etc.
- Written and spoken communication skills: You are concise yet effective in tailoring a message to the audience in English.
- Python programming: you are proficient in the use of Python to effectively import, clean, and format data.
- Data modelling and understanding: you have a proven track record of analysing and publishing novel scientific results on large datasets in a real-world setting.
- Excellent attention to detail: You pride yourself on your ability to spot crucial errors in data, yet you are able to prioritise progress over perfection.
- Ownership mindset: you have a willingness to learn “on the job”, as well as handle tight deadlines and multiple simultaneous responsibilities to get things done.
Qualifications:
You have a minimum of a postgraduate degree (MSc, MRes, etc.) in a field with a high quantitative component, e.g., Statistics, Informatics, Physics, or you can show that your background has a similar mathematical rigour. Alternatively, you have a background in medicine, experience working in hospital environments, and a strong track record in technical publications.
Initial full-time availability, starting August 2026 or before
Right to work in the UK
Resident in the UK
Able to perform hybrid working with at least 2 days per week onsite in Oxford
The following would be considered a plus:
- Experience with DICOM data, or experience with hospital imaging infrastructure (PACS and reporting systems)
- Experience working with clinical studies, ethics approval, or protocol-writing
- Experience with project management and familiarity with Jira and similar tools.
Optellum is an equal opportunity company.
Senior Clinical Research Scientist in London employer: Optellum
At Optellum, we are dedicated to revolutionising cancer care through innovative AI solutions, making us an exceptional employer for those passionate about healthcare. Our collaborative work culture fosters professional growth and offers flexible working arrangements, allowing you to balance impactful work with personal commitments. Join us in Oxford, where you'll have the opportunity to connect with leading experts and contribute to groundbreaking research that saves lives.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Clinical Research Scientist in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the clinical research field on LinkedIn or at industry events. A personal connection can often lead to job opportunities that aren't even advertised.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Understand how your skills can contribute to their mission of improving cancer care. Tailor your responses to show you're not just a fit for the role, but also passionate about their vision.
✨Tip Number 3
Practice your technical skills! Brush up on your Python programming and statistical analysis techniques. Being able to demonstrate your expertise during technical interviews can set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Optellum.
We think you need these skills to ace Senior Clinical Research Scientist in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your passion for improving cancer care shine through. We want to see how your enthusiasm aligns with our mission at Optellum!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight relevant experience and skills that match the job description. We love seeing how your background fits into our team!
Be Clear and Concise:In your written application, clarity is key! Use straightforward language and get straight to the point. We appreciate effective communication, especially in a technical role like this.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and keep everything organised. We can’t wait to hear from you!
How to prepare for a job interview at Optellum
✨Know Your Stats
Brush up on your medical statistics knowledge before the interview. Be ready to discuss sensitivity, specificity, ROC, and AUC analysis. This will show that you understand the core concepts that are crucial for the role.
✨Showcase Your Python Skills
Prepare to demonstrate your proficiency in Python. You might be asked to explain how you've used it to import, clean, and format data in past projects. Having specific examples ready will help you stand out.
✨Communicate Clearly
Practice tailoring your communication style to different audiences. Since you'll be liaising with both technical and clinical teams, being concise yet effective in your explanations is key. Consider doing mock interviews to refine this skill.
✨Demonstrate Ownership
Be prepared to discuss how you've taken ownership of projects in the past. Highlight instances where you've managed tight deadlines or multiple responsibilities, as this aligns with the ownership mindset they're looking for.