Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Co Founder Position - Biotech

Lifelancer
London
8 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Data Engineer - UK or Greece Satalia

Data Science Co-Founder / CEO (100 % remote) (m/f/d)

Data Science Co-Founder / CPO (100 % remote) (m/f/d)

Data Science Co-Founder / Head of Sales (100 % remote) (m/f/d)

Data Science Co-Founder / CPO (100 % remote) (m/f/d)

Job Title:Co Founder Position - Biotech

Job Location:London, UK

Job Location Type:Hybrid

Job Contract Type:Full-time

Job Seniority Level:Executive

Are you an innovative leader passionate about blendingmachine learningandbiotechnologyto create transformative solutions? Are you ready to co-create and scale a biotech start-up poised to redefineprotein yield engineeringandstrain engineeringin 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



Lifelancer (https://lifelancer.com) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.

For more details and to find similar roles, please check out the below Lifelancer link.

https://lifelancer.com/jobs/view/447b67dc16db7586c505213510f8ea5a

Apply on Lifelancer Platform

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.