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For Companies At a Glance
- Tasks: Lead the development of a cutting-edge bioinformatics platform and collaborate with R&D teams.
- 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 therapeutic design with creative freedom and impactful projects.
- Qualifications: PhD or equivalent experience in Computational Biology or related fields required.
- Other info: This is a confidential search; apply quickly to be considered.
The predicted salary is between 72000 - 108000 £ per year.
A leading and well-funded biotechnology company based in the Cambridge area is seeking a Director of Bioinformatics 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 bioinformatics 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 bioinformatics 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.
Contact Detail:
Career Wallet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director of Bioinformatics
✨Tip Number 1
Network with professionals in the biotech and bioinformatics fields. Attend relevant conferences, webinars, or local meetups to connect with industry leaders and potential colleagues. This can help you gain insights into the company culture and the specific skills they value.
✨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
Research the latest trends in therapeutic antibody engineering and bioinformatics. Being knowledgeable about current advancements will not only impress during interviews but also allow you to contribute meaningfully to discussions about the company's future direction.
✨Tip Number 4
Prepare to discuss your leadership style and how you plan to mentor junior staff. Highlight any previous experiences where you've successfully built teams or led projects, as this is crucial for a director-level position.
We think you need these skills to ace Director of Bioinformatics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in computational biology, protein engineering, and bioinformatics. Emphasise any leadership roles you've held and specific projects that showcase your skills in AI-driven approaches.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for the role. Discuss how your background aligns with the company's mission and the innovative work they are doing in biologics discovery.
Highlight Technical Skills: Clearly list your proficiency in programming languages like Python and R, as well as your experience with modern bioinformatics tools. Mention any specific generative models you have worked with, such as AlphaFold or RFdiffusion.
Showcase Leadership Experience: In your application, provide examples of your leadership capabilities. Discuss your experience in mentoring junior staff and managing cross-functional teams, as this is crucial for the Director role.
How to prepare for a job interview at Career Wallet
✨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, especially in therapeutic antibody engineering.
✨Demonstrate Leadership Skills
Since this role involves leading a team, share examples of how you've successfully managed cross-functional teams or mentored junior staff in previous positions. Emphasise your hands-on leadership style and collaborative approach.
✨Familiarise Yourself with the Company’s Focus
Research the company’s work at the intersection of antibody innovation and non-traditional protein scaffolds. Understanding their mission and recent advancements will help you align your answers with their goals during the interview.
✨Prepare for Technical Questions
Expect in-depth technical questions related to bioinformatics tools and methodologies, particularly around generative models like AlphaFold. Brush up on your knowledge of Python and R, as well as any modern bioinformatics/ML tools you’ve used.
