Reference: 4829052Job ID: 5415283Posted: 2026-11-11Closing date: 2027-02-10Location: Oxford / hybridSalary: 85-110,000 plus bonus and package (per annum)Job type: PermanentWorking pattern: Full time / Flexible workingIndustry: Scientific and R&D / Research and DevelopmentCompany: HaysConsultant: Ben Van ZwanenbergHays office: London-City — 5th Floor, 107 Cheapside,Phone: 0203 465 0057Email: ben.vanzwanenberg@hays.comYour new company You'll be joining an innovative research team developing next-generation technologies at the intersection of genomics, artificial intelligence, and healthcare. You'll be part of a multidisciplinary department of computational scientists, bioinformaticians, engineers, and researchers applying advanced analytics to large-scale biological datasets and real-world scientific challenges.Your new role As a Senior Scientist, you will develop novel computational methods that transform complex sequencing data into actionable biological insights and support novel product development to have a real-world impact.This is a genuine methods development role, focused on creating new algorithms and ML/AI approaches rather than applying existing bioinformatics pipelines. The role is permanent and hybrid working - it requires some time on site (preferably 3 days/week but potentially flexible for the right candidate).Key responsibilities include:Designing and developing novel algorithms for genomics, sequencing, and large-scale biological data analysisBuilding and evaluating machine learning models to address complex scientific and translational research questionsValidating and benchmarking new computational methods using large public and proprietary datasetsWorking closely with bioinformaticians and software engineers to deploy methods within scalable, reproducible workflowsCollaborating across computational, biological, and data science teams to translate research into practical applicationsTaking ownership of scientific projects from concept through implementation, evaluation, and deliveryThere is the potential to take on some people leadership with this role, but the position can equally stay as a high-level technical expert.What you'll need to succeed A successful candidate will combine strong quantitative skills with genuine experience developing new computational methods.You should have:A PhD (or equivalent experience) in Computational Biology, Computer Science, Mathematics, Statistics, Physics, Machine Learning, Bioinformatics, or a related quantitative disciplineProven experience developing novel algorithms, computational methods, or machine learning models, preferably within genomics or other large-scale biological data domainsStrong understanding of data structures, algorithms, statistical modelling, and quantitative problem-solvingExcellent programming skills in Python, with experience in other languages an advantage (eg C, C++, Julia, R, Rust, etc)Experience owning projects and delivering computational tools, models, or analytical methods from development through validationExperience with sequencing data, cloud computing, workflow development, ML Ops, or large-scale data infrastructure would be advantageousThe ability to independently lead projects and drive scientific direction with minimal supervisionWhat you'll get in return As well as a highly competitive salary and package, plus bonus, you'll have the chance to make a significant real-world impact in the field of genomics.You'll be working with highly capable and collaborative scientists and have access to significant compute resource.There's also significant flexibility around working styles and patterns and good opportunities for career progression and development.What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career. Keywords: Computational, Genomics, Scientist, Research, Algorithm, Development, ML, Machine, Learning, AI, Bioinformatics, Statistics, Python, Maths, Sequencing, Modelling, Analytics, Computational, Software, Data, Biology, Quantitative, Programming, Cloud, Innovation, Biotechnology, Research, NGS, Pathogen, Bacteria, Virus, Disease, Oncology #4829052 - Ben Van Zwanenberg
Senior Scientist – Computational Method Development in London employer: Hays
Join a well-established ecological consultancy in Kent that prioritises work-life balance and professional development. With a collaborative team culture and a commitment to delivering high-quality ecological advice, this company offers meaningful career progression opportunities for ecologists. Enjoy flexible working arrangements and the chance to work on diverse projects across the South East and beyond.
