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- Tasks: Lead the development of a cutting-edge computational biology platform and data science function.
- Company: Join a well-funded biotech firm in Cambridge focused on antibody innovation.
- Benefits: Enjoy a competitive salary, equity participation, and a dynamic work environment.
- Why this job: Shape the future of biologics with creative freedom and hands-on leadership.
- Qualifications: PhD or equivalent experience in Computational Biology; proficiency in Python and R required.
- Other info: This is a confidential search for a pivotal role in an innovative biotech.
The predicted salary is between 72000 - 108000 £ per year.
A leading and well-funded biotechnology company based in the Cambridge area is seeking a Head of Bioinformatics and Computational Biology to spearhead the development of a cutting-edge computational biology platform. This is a rare and exciting opportunity to lead the full-scale buildout of a data science function at the forefront of biologics discovery.
The Opportunity
This hands-on leadership role is ideal for someone passionate about the application of AI and structure-guided design to therapeutic antibody engineering. You will be instrumental in shaping the computational strategy from the ground up, with significant creative freedom, and will collaborate closely with internal R&D and selected CROs.
This is a confidential search on behalf of a company operating at the intersection of antibody innovation and non-traditional protein scaffolds. The organisation offers a dynamic and entrepreneurial environment backed by experienced founders and top-tier investors.
Key Responsibilities
- Lead the full-scale buildout of the company's data science infrastructure.
- Develop and implement AI-driven approaches to therapeutic biologics design.
- Drive collaboration across cross-functional teams and external research partners.
- Take ownership of CRO selection and partnership management.
- Contribute to team expansion by hiring and mentoring junior staff.
About You
- PhD (or equivalent industry experience) in Computational Biology, Structural Bioinformatics, Protein Engineering, or a related field.
- Proven experience with protein structure modelling, antibody engineering, or biologics design.
- Proficiency with Python, R, and modern bioinformatics/ML tools.
- Strong track record in applying generative models (e.g. AlphaFold, RFdiffusion).
- Demonstrated leadership capability and a desire to remain hands-on.
- Experience working with biologics is essential.
What’s on Offer
- Highly competitive salary and benefits package.
- Equity participation in a rapidly growing organisation.
- Opportunity to define and lead a pivotal function in an innovative biotech.
If you are interested and would like to find out more please don’t delay as we are anticipating providing an initial shortlist to the client by the end of May.
Head of Bioinformatics and Computational Biology employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Bioinformatics and Computational Biology
✨Tip Number 1
Network with professionals in the biotech and bioinformatics fields. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends in antibody engineering and computational biology.
✨Tip Number 2
Showcase your hands-on experience with AI-driven approaches in your discussions. Be prepared to discuss specific projects where you've applied generative models like AlphaFold or RFdiffusion, as this will demonstrate your expertise and passion for the role.
✨Tip Number 3
Familiarise yourself with the company’s current research and development focus. Understanding their specific needs and challenges will allow you to tailor your conversations and highlight how your skills can directly contribute to their goals.
✨Tip Number 4
Prepare to discuss your leadership style and mentoring experiences. Since this role involves team expansion and collaboration, being able to articulate how you’ve successfully led teams and nurtured junior talent will be crucial.
We think you need these skills to ace Head of Bioinformatics and Computational Biology
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in bioinformatics, computational biology, and any leadership roles you've held. Emphasise your proficiency with Python, R, and any specific tools mentioned in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and therapeutic antibody engineering. Discuss how your background aligns with the company's goals and how you can contribute to their data science infrastructure.
Showcase Your Achievements: Include specific examples of past projects or roles where you successfully applied generative models or led teams in biologics design. Quantify your achievements where possible to demonstrate impact.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with protein structure modelling and biologics design in detail. Highlight specific projects where you've applied AI-driven approaches, as this will demonstrate your hands-on capability and understanding of the field.
✨Demonstrate Leadership Skills
Since this role involves leading a team, be ready to share examples of how you've successfully managed teams or projects in the past. Discuss your mentoring experiences and how you plan to contribute to team expansion.
✨Prepare for Collaborative Scenarios
Expect questions about how you would drive collaboration across cross-functional teams and external partners. Think of examples where you've successfully worked with diverse groups to achieve a common goal.
✨Familiarise Yourself with Current Trends
Stay updated on the latest advancements in computational biology and AI applications in therapeutics. Being able to discuss recent developments or tools like AlphaFold will show your passion and commitment to the field.