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- Tasks: Develop algorithms and tools for DNA design and synthesis in a collaborative team.
- Company: Join an innovative startup revolutionising biology through technology in Cambridge.
- Benefits: Enjoy a competitive salary, access to cutting-edge tools, and professional development opportunities.
- Why this job: Make a real impact in a science-driven culture at the forefront of biological programming.
- Qualifications: PhD or equivalent in Computational Biology; strong programming skills and molecular biology knowledge required.
- Other info: Hybrid work model with a focus on collaboration and innovation.
The predicted salary is between 55000 - 70000 £ per year.
Location: Cambridge (Hybrid)
Join an early-stage startup at the intersection of code and biology, where DNA is the design language and synthesis is the platform. Their mission is to accelerate the design and synthesis of DNA – enabling researchers, developers, and engineers to treat biology as a programmable system. They are building a platform to streamline sequence design, optimise gene constructs, and scale high-throughput synthesis. The work sits at the intersection of machine learning, biological design, and molecular engineering.
About the Role
You’ll join a multidisciplinary team of scientists and engineers, contributing to the development of core algorithms, models, and tools that underpin technology.
What’s on offer:
- £65,000 - £80,000 base salary DOE
- Access to cutting-edge tools, datasets, and experimental infrastructure
- Budget for conferences, training, and professional development
- A collaborative, science-driven culture with direct impact on product and platform direction
Your Responsibilities:
- Develop and implement algorithms for sequence optimisation, codon usage, secondary structure prediction, and synthesis constraint resolution
- Build and maintain scalable pipelines for gene design and validation
- Analyse experimental results to refine computational models and improve design outcomes
- Collaborate closely with molecular biologists to integrate design and testing workflows
- Contribute to the development of internal tools, data infrastructure, and documentation
What you bring:
- Advanced degree (PhD or equivalent experience) in Computational Biology, Bioinformatics, Genomics, or related field
- Strong programming skills (Python preferred) and experience with scientific computing libraries
- Solid understanding of molecular biology, gene expression systems, and synthetic construct design
- Familiarity with genome-scale data, biological sequence analysis, or protein-coding gene optimisation
- Experience working in cross-functional teams and navigating the fast pace of early-stage R&D
Desirable (not essential):
- Experience with ML/AI in biological design
- Exposure to wet-lab workflows or automation platforms
- Contributions to open-source bioinformatics or synthetic biology tools
Please apply with a copy of your CV - j.phillips@cubiqrecruitment.com
Computational Biologist employer: Cubiq Recruitment
Contact Detail:
Cubiq Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Biologist
✨Tip Number 1
Network with professionals in the field of computational biology. Attend relevant conferences or workshops where you can meet potential colleagues and learn about the latest trends and technologies. This can help you gain insights into the company culture and the specific skills they value.
✨Tip Number 2
Showcase your programming skills by contributing to open-source projects related to bioinformatics or synthetic biology. This not only demonstrates your technical abilities but also your commitment to the field, making you a more attractive candidate.
✨Tip Number 3
Familiarise yourself with the latest advancements in machine learning applications within biological design. Being knowledgeable about how ML can enhance gene optimisation and synthesis will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience working in cross-functional teams. Highlight specific examples where you've collaborated with molecular biologists or engineers, as this role requires strong teamwork skills to integrate design and testing workflows effectively.
We think you need these skills to ace Computational Biologist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in computational biology, programming skills, and any specific projects related to DNA design or synthesis. Use keywords from the job description to align your qualifications with what the company is looking for.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for the intersection of code and biology. Discuss how your background in machine learning and molecular engineering can contribute to their mission of treating biology as a programmable system.
Highlight Collaborative Experience: Since the role involves working closely with molecular biologists, emphasise any previous experience you have in cross-functional teams. Provide examples of how you’ve successfully collaborated on projects to achieve common goals.
Showcase Relevant Skills: In your application, clearly outline your programming skills, particularly in Python, and any experience with scientific computing libraries. Mention any familiarity with genome-scale data or biological sequence analysis to demonstrate your fit for the role.
How to prepare for a job interview at Cubiq Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills, especially in Python, and any experience you have with scientific computing libraries. Highlight specific projects where you've developed algorithms or worked on gene design, as this will demonstrate your technical expertise.
✨Understand the Company’s Mission
Research the startup's mission to accelerate DNA design and synthesis. Be ready to explain how your background in computational biology aligns with their goals and how you can contribute to their innovative platform.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with molecular biologists, think of examples from your past experiences where you successfully collaborated in cross-functional teams. This will show your ability to integrate workflows and communicate effectively across disciplines.
✨Discuss Your Adaptability
Early-stage startups often require flexibility and quick adaptation to new challenges. Be ready to share instances where you've thrived in fast-paced environments or adapted to changing project requirements, showcasing your resilience and problem-solving skills.
