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Co Founder Position - Biotech

Robert Walters
Posted 4 days ago, valid for a month
Location

London, Greater London EC1R 0WX

Salary

£130,000 per annum

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The job is for a Co-Founder and Head of Science position at a biotech start-up focused on integrating machine learning with biotechnology.
  • The role requires extensive experience in applying machine learning to biological problems, particularly in protein yield and strain engineering.
  • Candidates should have a solid grounding in molecular biology or synthetic biology, along with experience in a start-up environment.
  • The position offers a salary of up to £130,000 per annum, with an initial reduced rate until seed funding is secured, plus a sizeable equity package.
  • This hybrid role is based in London and invites applications from all qualified candidates.

Are you an innovative leader passionate about blending machine learning and biotechnology to create transformative solutions? Are you ready to co-create and scale a biotech start-up poised to redefine protein yield engineering and strain engineering in a head of science / Co Founder position.

I am currently recruiting for a Co-Founder and help build a biotechnology business from the ground up.

This business is a biotech start-up with a mission to revolutionise synthetic biology by integrating cutting-edge machine learning with advanced biological engineering techniques. Their focus lies in solving complex challenges in protein yield optimisation and strain engineering for their clients.

I am recruiting a Co-Founder to shape the company's technological direction and strategy. This is a unique opportunity to combine your technical expertise with entrepreneurial flair to build and grow an exciting biotech company.

Key Responsibilities

  • Lead the development and integration of machine learning approaches for protein engineering.
  • Design and oversee innovative experimental workflows to advance our core capabilities.
  • Work directly with external clients and partners to deliver tailored solutions and foster strategic relationships.
  • Recruit, develop, and manage a talented multidisciplinary team.
  • Identify opportunities for growth, secure partnerships, and assist with fund raising efforts.
  • Define and execute the company's technological and biological road map in alignment with broader business goals.
  • Carry out business development duties from the earlier stages of the business to add to the current client list.

Requirements

  • Extensive experience applying ML to biological problems, particularly in protein and strain engineering.
  • Solid grounding in molecular biology, synthetic biology, or related fields.
  • Proven ability to work with clients and stakeholders to deliver impactful outcomes.
  • Experience in a start-up environment or demonstrated ability to thrive in fast-paced, high-growth settings.
  • Strong track record of building and managing diverse teams.
  • Familiarity with business development, funding processes, and commercialisation in biotech.

The role is offering a salary of up to £130,000 per annum, with a slightly reduced initial rate until seed funding is secured, alongside a sizeable equity package. This will be a hybrid role, with offices and labs based in London.

Please apply within if you are interested in hearing more.

Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.