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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 freelance perks.
- Why this job: Make a real impact on AI systems transforming cancer treatment.
- Qualifications: Experience in oncology trials and data analysis required.
- Other info: Join a dynamic team with potential for contract extension.
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.
Location: Remote | Commitment: 10–40 hours/week
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.
- 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 non-research.
- Influence how AI models understand & reason about real oncology data.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process:
- Submit your resume.
- Complete a screening.
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Oncology Clinical Researcher in Cambridge employer: Alignerr
Contact Detail:
Alignerr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Oncology Clinical Researcher in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the oncology field and let them know you're on the hunt for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your experience in oncology clinical trials. Engage with relevant content and connect with industry professionals to boost your visibility.
✨Tip Number 3
Prepare for those interviews! Research Alignerr and their work in AI-driven oncology research. Be ready to discuss how your expertise aligns with their goals and how you can contribute to their projects.
✨Tip Number 4
Apply through our website! It’s quick and easy, and it ensures your application gets directly into the hands of the hiring team. Plus, don’t forget to follow up after applying to show your enthusiasm!
We think you need these skills to ace Oncology Clinical Researcher in Cambridge
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 role, 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 you can contribute to our AI-driven workflows. Keep it engaging and personal!
Be Clear and Concise: When filling out your application, clarity is key. We appreciate straightforward answers that get to the point. Avoid jargon unless it’s relevant to the role – we want to understand your expertise without any confusion.
Apply Through Our Website: To make sure your application gets noticed, apply directly through our website. It streamlines the process for us and ensures you’re considered for this exciting opportunity right away!
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 expertise in the field.
✨Prepare for Data Discussions
Since the role involves analysing cancer trial data, be ready to discuss your experience with data analysis. Think of specific examples where you've evaluated safety profiles or biomarker results. Practising how to articulate these experiences can really set you apart.
✨Understand AI's Role in Oncology
Alignerr is focused on AI-driven research, so it’s crucial to understand how AI models are used in clinical trials. Brush up on how AI can enhance data evaluation and decision-making in oncology. This knowledge will demonstrate your ability to integrate into their innovative environment.
✨Showcase Your Regulatory Knowledge
Familiarity with FDA and EMA submission standards is a must. Prepare to discuss your experience with regulatory compliance and how you've navigated these processes in past roles. Being able to speak confidently about this will highlight your readiness for the position.
