1 to 25 of 81 Biology Jobs in England

About Us Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of genome biology to identify novel drug targets, mechanisms, and genetic medicines inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is … and protein-level mechanisms, analyze large biological datasets, and support the design of therapeutic molecules. This is an opportunity to work at the interface of machine learning and computational biology, making impactful contributions to drug discovery and therapeutic development. Key Responsibilities Develop and implement advanced machine learning models for RNA biology, systems biology, and structural biology to solve frontier challenges … in drug discovery. Collaborate with cross-functional teams (e.g., ML engineering, target discovery, and experimental biology) to drive research projects that identify novel drug targets and preclinical candidates. Design and execute computational and experimental studies to validate and improve model predictions. Stay informed about the latest advancements in machine learning and computational biology, and apply them to real-world challenges. More ❯

preventative care clinic, and collaborative spaces to strengthen its partnership with the University of Oxford. It will also host the Ellison Scholars, driving innovation for societal benefit. The Generative Biology Institute (GBI) at the Ellison Institute of Technology (EIT) aims to overcome two major challenges in making biology engineerable: 1) the ability to precisely synthesize entire genomes, and 2) understanding … which DNA sequences will create biological systems that perform desired functions. Solving these challenges will unlock the potential of biology for transformative solutions in health, sustainability, agriculture, and more. GBI will house 30 groups and over 300 researchers, supported by cutting-edge facilities and sustained funding to address global challenges and advance biology engineering. EIT fosters a culture of collaboration … throughput platforms, adapting protocols as needed to meet experimental requirements. To design and execute bespoke sequencing experiments, collaborating with research teams working across niche and novel synthetic, molecular & cell biology applications. To train, assist and feedback to other scientists who can or wish to utilise next-generation sequencing in a walk-up fashion. To analyse sequencing data using existing bioinformatics More ❯

Bioinformatician – Plant Biology Reed Scientific is working in partnership with a pioneering biotech start-up, who are focused on revolutionizing agriculture through genetic innovation. We are seeking a skilled Bioinformatician to support trait development by applying computational tools to enhance crop performance and sustainability. Day-to-day of the role: Develop and maintain NGS pipelines for non-model plant species. More ❯

and regulatory requirements. Help optimizs equipment layouts and workflows within these controlled lab settings. Essential Knowledge, Skills and Experience: Bachelor's, Master's, or Ph.D. in Bioengineering, Robotics, Molecular Biology, or a related field, or equivalent hands-on experience. Proficiency with liquid handlers (e.g., Tecan, Hamilton, Beckman Coulter) and integration of lab instruments. Strong scripting and automation programming skills (e.g. More ❯

methods. Why you? Basic Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: PhD or equivalent in Bioinformatics, Physics, Chemistry, Computer Science, Structural Biology, or related fields. Experience in protein structural or sequence analysis Experience in one or more programming languages (e.g. Python) Prior experience working as team lead or member in a matrix More ❯

to ensure reliability and efficiency. What you'll need to succeed A BSc or MSc (or equivalent experience) in Computer Science, Bioinformatics, or a related field, eg Biotechnology or Biology Strong hands-on experience as a Software Engineer or Developer, within the Life Sciences sector, eg for a pharmaceutical or biotech company, CRO or other R&D business. Proficiency in More ❯

by the ML team. Experience with ML systems that are cloud-based and frequently process TBs of data Strong python software skills Working knowledge of concepts in Chemistry and Biology Can communicate with ML engineers Demonstrates competence and rigor in software development. Has experience working with scientific computing/lab environments (e.g. has used or administered SLURM) Conversant with cloud More ❯

team members. What we're looking for: PhD with at least 2 years of industry experience or MSc with 5 or more years of relevant experience in bioinformatics, computational biology, data science or a related field. Hands-on experience in developing and implementing multiple Nextflow pipelines in a production system. Excellent knowledge of Docker, git, the UNIX command line, R More ❯

steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at More ❯

partners in the collaboration are met.- Preparing presentations and written work for meetings with collaborators and for publication as journal articles. Experience required for the role - Experience in Computational Biology, Biostatistics, Statistics, Bioinformatics or a related field, with an associated Masters, or ideally PhD, qualification.- Experience of processing and analysing large biological datasets.- Expertise in programming using at least one More ❯

them across massive, complex biological datasets. Lead high-impact experiments, effectively navigating signal-to-noise in large-scale biological data. Collaborate closely with interdisciplinary teams, bridging AI research, computational biology, and experimental scientists. Publish influential research in leading journals and conferences, establishing thought leadership in BioAI. Mentor researchers, building a vibrant, collaborative, and scientifically rigorous culture. Expected Growth In More ❯

non-technical stakeholders Contribute to the deployment of robust, user-facing tools and pipelines You Will Need: A PhD (or equivalent experience) in a relevant field such as Computational Biology, Computer Science, Bioinformatics or similar Strong knowledge of biomolecular modelling, structural prediction, small molecule docking and/or biomolecule design Experience in prototyping and deploying algorithms in a scientific or More ❯

based inference, likelihood-free inference. There will be particularly good opportunities to join new work on collaborative modelling and decision-making with AI. And applications in drug design, synthetic biology, personalized medicine, and digital twins. The positions are in the University of Manchester, which has recently strengthened its position as a centre for research into AI fundamentals and impactful applications More ❯

of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira More ❯

steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at More ❯

Machine Learning Scientist - Causality London About Relation Relation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning (ML More ❯

arrange technical accredited audits where necessary. These skills will help you go far in this role: A scientific degree (cosmetic or pharmaceutical science) or in a fundamental science (chemistry, biology or biochemistry) Significant, demonstrable experience in skincare and makeup technical development Strong project management experience Experience in scale-up, manufacturing and stability Strong interpersonal skills, ability to develop relationships and More ❯

accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos The Altos Labs Institute of Computation (IoC) is seeking an independent and highly motivated Computational Biology Scientist to build, maintain, and support our hybrid AI initiative to model cellular processes. The position will work in a multi-disciplinary research environment to assist investigators in algorithm development … mathematical models toward understanding mechanistic aspects of cellular processes with all experimental labs at Altos Labs. The ideal candidate is particularly interested in multi-scale (systems) biochemistry and molecular biology of reprogramming, a dynamic field that seeks to understand complex biological systems by integrating data about biochemical components and help design interventions that direct cellular states along desired trajectories. This … with a background in dynamical systems and mathematical modeling of biological systems. Be able to demonstrate significant AI experience/application in conjunction with a working understanding of cell biology and/or biophysics. The level of the position will depend on the qualifications of the selected candidate. Minimum Qualifications - PhD in Biology, Computational Biology, Computer Science, or closely related More ❯

An opportunity to join a growing specialty pharmaceutical company that focuses on developing innovative treatments for hard-to-treat diseases, with key areas including immuno-oncology, gene therapy, mitochondrial biology, blindness and regeneration, and targeted protein degradation. Acts as a Global Medical Writing Lead, generally in mid- to late-stage development global project teams. The individual provides leadership with respect More ❯

to patient-level data (including various clinical, real-world, and biomarker data) across clinical development. You will combine your data science and AI skills and your scientific knowledge in biology or medicine to enrich drug development decisions in close collaboration with internal and external partners. This role offers hybrid working, requiring 3 days per week or 12 days per month More ❯

Qualifications Essential Degree in Pharmaceutical Science, Pharmacy, Biotechnology or equivalent science degree/certificate Desirable Member of Royal Pharmaceutical Society, or Royal Society of Chemistry or Royal Society of Biology Knowledge Essential Computer Literacy (Microsoft Office-365) Knowledge of cGMP/GLP and Quality Control principles Knowledge of laboratory and production facilities SOPs and ability to write new SOPs Understand More ❯

steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at More ❯

development. Excellent decision-making skills, balancing pace, rigor, and risk effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Advanced degree in Chemistry, Biology, Physics, or a related quantitative field. Demonstrated ability to influence and negotiate across different management levels. Experience in organizing and motivating cross-departmental teams. Proven track record in process improvement More ❯

steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at More ❯

in Oxford so candidates must be based in the Oxfordshire area. Must Have: Strong academic background - High level degree from a prestigious university in Computer Science, Physics, Mathematics, Computational Biology, or a relevant degree Skilled with C# (Python is an additional bonus) Good understanding of software design patterns An interest, background or passion for Physics, Mathematics, or Computer Science Strong More ❯