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- Tasks: Lead innovative AI-driven drug discovery for women with gynecological cancers.
- Company: Join Collixion Therapeutics, a pioneering biotech focused on impactful therapies.
- Benefits: Equity options, lab access, mentorship, and a pathway to co-founder or CTO.
- Other info: Dynamic startup environment with opportunities for significant career growth.
- Why this job: Make a real difference in women's health while shaping the future of biotech.
- Qualifications: Strong computational skills, experience with biological data, and a passion for problem-solving.
The predicted salary is between 60000 - 80000 £ per year.
Collixion Therapeutics is an early-stage biotech developing therapies for women with gynecological cancers who relapse after targeted treatment – the patients who run out of options when they need them most.
We are building at the intersection of AI and drug discovery in gynecological cancer. The technical territory spans several areas and we are looking for someone who is strong across most of them and excited to grow in the rest.
- Computational biology and genomics
- Worked with and analyzed large-scale biological datasets from public sources
- Differential expression analysis, pattern recognition, and biological interpretation of cancer cell line and patient tumor data
- Understanding of how gene expression data is structured, normalized, and made meaningful in a research context
- AI and machine learning
- Building AI-powered applications that turn biological data into structured, interpretable predictions
- LLM API integration – designing prompt architectures that produce scientifically grounded outputs
- Knowing when AI adds genuine value and when simpler statistical approaches are more appropriate
- Software and platform development
- Python proficiency – building pipelines that process, analyze, and output biological data reliably and reproducibly
- Experience deploying functional applications that non-technical collaborators can interact with
- A builder instinct – you write code to ship things that work, not to demonstrate technical elegance
Valued but not required:
- Background in computational biology, bioinformatics, systems biology, or biomedical engineering
- scRNA-seq analysis experience
- Prior experience at an early-stage biotech, research startup, or translational academic lab
- Genuine curiosity
This role is well suited to someone earlier in their career who wants to take a considered bet on a novel approach. You might be finishing a PhD in a computational field and want your first industry experience to be one where you build something from scratch. You might be a postdoc ready to move toward applied work. You might be a self-taught computational scientist who has been waiting for a problem worth your time. What matters more than your specific background is how you approach hard problems. We are looking for someone who sees a scientific question and thinks about how computation can answer it. Someone who is comfortable with ambiguity. Someone who wants to contribute to something that does not exist yet.
The Pathway to Co-Founder or CTO: There is a real pathway from this role to co-founder or CTO. It is not automatic and it is not guaranteed. It depends on how the collaboration develops, the contributions you make to the technical direction of the company, and whether the long-term fit is right for both of us. If you come in, engage as a genuine thought partner, and the working relationship is strong – we will have an explicit conversation about what the next stage of the relationship looks like. We are not looking for someone to help us get over a short-term technical hurdle and then move on. We are looking for someone who might want to build this company with us. If that is interesting to you, that is the spirit in which this role is offered.
What We Offer:
- Equity in an early-stage company – meaningful, negotiated based on commitment and contribution, vesting with cliff
- A genuine thought partnership – your expertise and judgment shape what gets built, not just how it gets built
- LabCentral lab space and full genomics infrastructure including 10X Chromium X, NextSeq 2000, and spectral flow cytometry
- C10 Labs AI Biohub program – mentorship and the Boston biotech ecosystem
Technical Lead - Collixoin Therapeutics in Cambridge employer: C10labs
Contact Detail:
C10labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Lead - Collixoin Therapeutics in Cambridge
✨Tip Number 1
Network like a pro! Get out there and connect with people in the biotech scene, especially those involved in AI and drug discovery. Attend meetups, conferences, or even online webinars to make those valuable connections that could lead to your dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to computational biology and AI. This is your chance to demonstrate how you can turn complex data into meaningful insights, which is exactly what Collixion Therapeutics is looking for.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s mission and values. Understand their approach to tackling gynecological cancers and think about how your background aligns with their goals. This will help you stand out as someone who genuinely cares about their work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and contributing to something groundbreaking in the biotech field.
We think you need these skills to ace Technical Lead - Collixoin Therapeutics in Cambridge
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for the role shine through! We want to see that you’re genuinely excited about the intersection of AI and drug discovery, especially in the context of gynecological cancers.
Tailor Your CV: Make sure your CV is tailored to highlight relevant experience. Focus on your computational biology skills, any projects you've worked on, and how they relate to the job description. We love seeing how your background aligns with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit. Share specific examples of your work, your problem-solving approach, and how you envision contributing to our team. Keep it engaging and personal!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Collixion Therapeutics.
How to prepare for a job interview at C10labs
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills mentioned in the job description, especially Python and AI applications. Brush up on your experience with large-scale biological datasets and be ready to discuss how you've used computational biology in past projects.
✨Show Your Curiosity
Collixion Therapeutics values genuine curiosity, so come prepared with questions that show your interest in their work. Think about how computation can solve scientific problems and be ready to share your thoughts on potential applications in gynecological cancer research.
✨Demonstrate Your Builder Instinct
Highlight your experience in building functional applications and pipelines. Share specific examples of projects where you’ve shipped working code, focusing on how you made complex data accessible for non-technical collaborators.
✨Engage as a Thought Partner
This role is about collaboration, so during the interview, express your eagerness to contribute to the company's technical direction. Discuss how you envision your role evolving and how you can help shape the future of Collixion Therapeutics.