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

Apply Now

Senior Computational Biologist: Protein Design

Baseimmune
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Director, Discovery Data Sciences

Senior Director, Discovery Data Sciences

(Senior) Research Scientist - Large Language Models for Genomics

Senior Geospatial Data Scientist

Senior Machine Learning Engineer - AI & GPU Performance

Senior Data Scientist

Senior Computational Biologist: Protein DesignKeywords: Computational Biochemist / Biophysicist / Protein Engineer / Deep Learning / Statistics / Protein StructuresTeam: Computational BiologyStart date: 2024, immediatePeriod: Full time, permanent Location: London Bioscience Innovation Centre in King’s Cross, London. This is a full-time role with the opportunity for fully remote or hybrid working style.About UsBaseimmune is a discovery stage biotechnology start-up revolutionising vaccines through advanced computational antigen design. Founded by the team that pioneered computational vaccines at the Jenner Institute, University of Oxford, our mission is to harness the fields of data science, machine learning and computational biology to redefine cross-protective and mutation-proof vaccines.Position OverviewWe are seeking an experienced Computational Protein Design specialist to join our Antigen Design team. The ideal candidate will have a proven track record in using deep learning methodologies, including generative AI, to design de novo protein structures. They will be experienced in developing computational pipelines to design, analyse & validate protein structures. Further, this role requires a deep understanding of protein biochemistry in the biologics space to enable effective collaboration with wet lab scientists and immunologists to both successfully design vaccine antigens and validate their effectiveness.Key ResponsibilitiesScientific GoalsDrive the development of computational pipelines that use AI techniques to create proteins for use as vaccine antigens.Collaborate with laboratory teams to validate and benchmark newly implemented methodologies using in silico, in vitro and in vivo models. Apply computational based pipelines and structural expertise to design proteins presenting target epitopes in desired conformations.Collaborate effectively across multi-disciplinary teams, including immunologists, evolutionary biologists, molecular biologists and ML engineers to ensure de novo designs are optimised to elicit cross-protective responses following vaccination.Analyse and interpret experimental data to advance the design process.Strategic GoalsStay up to date with the latest research and developments within the fieldCritically assess advances in protein engineering and set development directions.Mentor and guide junior scientists and team members and create momentum within the team whilst becoming a go-to expert within your technical area.Contribute to scientific publications and represent Baseimmune at scientific conferencesEssential Qualifications and SkillsPh.D. in Structural Biology, Biophysics, Computational Biology, Biochemistry, or a related field.Minimum of 4 years’ experience in computational protein design within an academic or industry setting.1-2 years experience in post-doctoral or industry setting.Proven track record of successfully designing de novo proteins underpinned by state-of-the-art computational methodologies for biologics purposes.Extensive knowledge of statistical and deep learning methods applied to protein design, such as RFdiffusion, MPNN, AlphaFold and Rosetta.Experienced programming in Python and Linux command line.Strong mathematical skills, problem-solving abilities and strategic thinking. Proven track record of scientific innovation and publications in reputable journals.Ability to work independently and collaboratively in a fast-paced environment.What we OfferCompetitive starting salary Private medical health insuranceOpportunities for career growth and professional development26 days holiday leave + bank holidaysEnhanced sick payPension plan Please note that Baseimmune does not provide visa sponsorship for this position. Applicants must be eligible to work in the UK without requiring employer sponsorship. We encourage all eligible candidates to apply and regret that we are unable to consider candidates who require visa sponsorship currently. We are an equal opportunity employer and value diversity and inclusion in our workplace.

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.