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- Tasks: Design and run oncology clinical trials, ensuring compliance and analysing data.
- Company: Alignerr, a leader in AI-driven cancer research.
- Benefits: Competitive pay, flexible remote work, and potential for contract extension.
- Why this job: Transform cancer research with cutting-edge AI and make a real impact.
- Qualifications: Experience in oncology clinical trials and data analysis.
- Other info: Freelance perks include autonomy, flexibility, and global collaboration.
The predicted salary is between 30 - 60 £ per hour.
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models. We are seeking an Oncology Clinical Researcher to bring deep expertise in cancer clinical trials into AI‑driven research and evaluation workflows. In this role, you will ensure that oncology trial data used to train and assess advanced AI systems reflects real‑world regulatory, scientific, and clinical standards.
What You’ll Do
- Design and run oncology clinical trials by developing study protocols, overseeing patient enrollment, and ensuring compliance with regulatory and ethical standards.
- Analyze cancer trial data, including safety, efficacy, and biomarker results, to evaluate how well treatments perform.
- Translate trial outcomes into regulatory and scientific reports used for FDA/EMA submissions, publications, and clinical decision‑making.
- Review and evaluate AI‑generated clinical insights for accuracy, clinical relevance, and regulatory alignment.
What We’re Looking For
- Experience designing and managing oncology clinical trials from protocol development through data readout.
- Strong background in analyzing oncology clinical data, including endpoints, safety profiles, and biomarkers.
- Familiarity with regulatory submission standards for agencies such as the FDA or EMA.
Preferred
- Prior experience with data annotation, data quality, or evaluation systems.
Why Join Us
- Competitive pay and flexible remote work.
- Work directly on frontier AI systems transforming cancer research.
- Influence how AI models understand and reason about real oncology data.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process
- Submit your resume.
- Complete a short screening.
- Project matching and onboarding.
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Oncology Clinical Researcher in Manchester employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Oncology Clinical Researcher in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the oncology field on LinkedIn or at industry events. We can leverage our connections to get insights and maybe even referrals for that Oncology Clinical Researcher role.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of clinical trials and AI in oncology. We should be ready to discuss how our experience aligns with the job description and showcase our passion for transforming cancer research.
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can keep us fresh in the interviewer's mind. We can also reiterate our enthusiasm for the role and how we can contribute to Alignerr's mission.
✨Tip Number 4
Apply through our website for the best chance! We can ensure our application gets seen by the right people and shows that we’re serious about joining the team at Alignerr. Plus, it’s super easy!
We think you need these skills to ace Oncology Clinical Researcher in Manchester
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience in oncology clinical trials. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about oncology research and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Analytical Skills: Since the role involves analysing cancer trial data, make sure to mention any specific tools or methodologies you’ve used in your previous work. We love seeing how you approach data analysis and problem-solving!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure your application gets into the right hands. Plus, we review applications daily, so the sooner you apply, the better!
How to prepare for a job interview at Alignerr
✨Know Your Oncology Inside Out
Make sure you brush up on the latest trends and breakthroughs in oncology clinical trials. Familiarise yourself with key terms, regulatory standards, and recent studies that could be relevant to the role. This will not only show your passion but also your commitment to staying updated in the field.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific situations in clinical trials. Think about past experiences where you designed protocols or managed patient enrolment. Be ready to discuss these examples in detail, highlighting your problem-solving skills and adherence to ethical standards.
✨Showcase Your Analytical Skills
Since the role involves analysing cancer trial data, be prepared to discuss your experience with data analysis. Bring examples of how you've evaluated safety profiles or biomarker results in previous roles. If possible, mention any tools or software you’ve used to enhance your analysis.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the team’s current projects, the AI systems they’re developing, or how they ensure compliance with regulatory standards. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
