210 Computational Biologist jobs in the United Kingdom

Role Overview

We’re seeking a highly motivated Lead Computational Biologist to partner with leading R&D teams in life sciences, applying advanced AI models to solve complex biological challenges. You’ll work at the interface of data science, biology, and product development — helping translate large-scale omics data into actionable insights for discovery and development.

In this high-impact, fast-moving role, you’ll prototype with cutting-edge machine learning tools, rapidly moving from concept to insight. You’ll collaborate closely with engineering and product teams to shape and refine innovative solutions that address real-world biological problems.

Key Responsibilities

• Partner with scientific and technical teams to analyze complex biological datasets (e.g., transcriptomics, single-cell data)
• Apply and adapt machine learning models to address problems in discovery and development
• Rapidly prototype and iterate on computational approaches to generate insights
• Communicate findings clearly across technical and non-technical audiences
• Contribute to shaping data products and internal tools

Requirements

Essential

• MSc or PhD in Computational Biology, Bioinformatics, or a related field
• Strong Python programming skills
• Experience working with single cell data
• Familiarity with recent machine learning methods relevant to omics data
• Understanding of modern AI/ML techniques (e.g., model fine-tuning, representation learning)
• Strong foundation in computational biology methods
• Ability to clearly articulate scientific findings to diverse stakeholders
• Customer- and product-focused mindset

Preferred

• Prior experience in industry (biotech, pharma, or related sectors)
• Contributions to open-source bioinformatics or computational biology tools
• Exposure to advanced model architectures (e.g., Transformers, sequence models, probabilistic models)
• Experience supporting discovery or development projects

• Lead and manage computational biology projects, from study design to data analysis and interpretation.
• Develop and implement advanced computational and statistical methods for analyzing high-throughput biological data (genomics, transcriptomics, proteomics, etc.).
• Build and maintain scalable data analysis pipelines and workflows.
• Collaborate with experimental researchers to design studies, interpret results, and generate hypotheses.
• Apply machine learning and artificial intelligence techniques to biological data to identify patterns and predict outcomes.
• Contribute to the development of novel biomarkers and therapeutic targets.
• Effectively communicate complex findings to both technical and non-technical audiences through reports and presentations.
• Mentor junior bioinformaticians and computational biologists.
• Stay current with the latest advancements in computational biology, bioinformatics, and relevant biological fields.
• Contribute to grant writing and manuscript preparation for scientific publications.

• Ph.D. in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• Extensive experience in analyzing large-scale biological datasets, with a proven track record of impactful research.
• Proficiency in programming languages such as Python, R, and their relevant scientific libraries (e.g., Biopython, Bioconductor, Scikit-learn).
• Strong understanding of statistical methods, machine learning algorithms, and their application to biological problems.
• Experience with common bioinformatics tools and databases.
• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) and containerization technologies (e.g., Docker) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to work effectively in a collaborative, remote team environment.
• Experience leading research projects and mentoring junior scientists.
• Demonstrated ability to independently manage research projects and deliver high-quality results.

• Develop and apply advanced computational and statistical methods to analyse large-scale biological data (genomics, transcriptomics, proteomics, etc.).
• Design, build, and maintain robust bioinformatics pipelines for data processing and analysis.
• Collaborate with experimental teams to define research questions and design appropriate computational strategies.
• Interpret complex biological data, identify patterns, and generate testable hypotheses.
• Develop predictive models and machine learning algorithms for biological insights.
• Visualise and communicate complex scientific findings to diverse audiences through reports and presentations.
• Contribute to scientific publications and grant proposals.
• Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.

• Ph.D. or Master's degree in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Significant experience in analysing biological data using computational approaches.
• Proficiency in programming languages (e.g., Python, R) and relevant bioinformatics tools/libraries.
• Experience with statistical analysis, machine learning, and data visualisation techniques.
• Strong understanding of biology, genetics, and molecular biology concepts.
• Excellent problem-solving and analytical skills.
• Proven ability to work effectively in a remote, collaborative research environment.

• Lead the development and application of computational and statistical methods to analyse large-scale biological datasets, including genomics, transcriptomics, proteomics, and epigenomics.
• Design and execute complex bioinformatics pipelines for data processing, quality control, and feature extraction.
• Collaborate closely with experimental biologists, geneticists, and clinicians to interpret research findings and generate actionable insights.
• Develop predictive models and machine learning algorithms to identify novel biological targets and biomarkers.
• Contribute to the design of experiments by providing computational input on study design and data collection strategies.
• Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant biological fields.
• Mentor and guide junior computational biologists and bioinformaticians.
• Present research findings to internal teams and at scientific conferences.
• Contribute to grant proposals and scientific publications.
• Ensure reproducibility and documentation of all computational analyses.

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• A minimum of 7 years of post-doctoral or industry experience in computational biology or bioinformatics.
• Proven expertise in analysing high-throughput biological data (e.g., next-generation sequencing).
• Strong programming skills in languages such as Python and R, and experience with relevant bioinformatics libraries and tools.
• Experience with statistical analysis, machine learning, and data visualization techniques.
• Familiarity with cloud computing platforms (e.g., AWS, GCP) and high-performance computing environments.
• Excellent communication, collaboration, and leadership skills.
• Ability to work effectively in a hybrid work environment.
• Experience in a specific biological domain (e.g., cancer biology, immunology, neuroscience) is a strong advantage.
• Track record of publications in high-impact scientific journals.

• Design and implement sophisticated computational and statistical analyses for large-scale omics data (genomics, transcriptomics, proteomics, etc.).
• Develop and validate algorithms and pipelines for biological data processing and interpretation.
• Collaborate with experimental biologists, clinicians, and other researchers to define research questions and hypotheses.
• Build predictive models to identify potential drug targets, biomarkers, and disease mechanisms.
• Contribute to the design of experiments, ensuring data generation is amenable to robust computational analysis.
• Stay current with the latest advancements in bioinformatics, computational biology, machine learning, and relevant scientific fields.
• Communicate complex findings effectively to both technical and non-technical audiences through presentations and publications.
• Mentor junior computational biologists and bioinformaticians.
• Contribute to grant writing and research proposal development.
• Ensure reproducibility and maintain high standards of code quality and documentation.

• PhD in Computational Biology, Bioinformatics, Statistics, Computer Science, or a related quantitative field.
• Minimum of 8 years of post-doctoral or industry experience in computational biology or bioinformatics.
• Proven expertise in analyzing diverse biological datasets (e.g., next-generation sequencing, microarray, mass spectrometry).
• Strong proficiency in programming languages commonly used in bioinformatics, such as Python or R.
• Experience with common bioinformatics tools, databases, and software packages.
• Solid understanding of statistical modelling, machine learning techniques, and their application to biological problems.
• Excellent track record of peer-reviewed publications in reputable journals.
• Demonstrated ability to work independently and as part of a distributed, collaborative team.
• Strong problem-solving skills and a passion for scientific discovery.
• Excellent communication and presentation skills.

• Develop and apply computational methods to analyse large-scale biological datasets (genomics, transcriptomics, proteomics).
• Design and implement algorithms and statistical models for biological data analysis.
• Identify novel biological insights, biomarkers, and potential drug targets.
• Collaborate with experimental scientists and other researchers to interpret results.
• Perform pathway analysis, network modelling, and develop predictive models.
• Contribute to the writing of scientific manuscripts and grant proposals.
• Present research findings at scientific conferences and internal meetings.
• Stay current with advancements in bioinformatics, computational biology, and relevant scientific fields.

• PhD or MSc in Computational Biology, Bioinformatics, Genetics, Computer Science, or a related discipline.
• Proven experience in analysing complex biological datasets.
• Strong programming skills (e.g., Python, R, Perl, SQL).
• Knowledge of machine learning techniques applied to biological data.
• Familiarity with common bioinformatics tools and databases.
• Excellent analytical and problem-solving abilities.
• Strong scientific communication and presentation skills.
• Ability to work effectively in a remote, collaborative research environment.

• Design and implement computational approaches for analyzing diverse biological datasets, including genomics, transcriptomics, proteomics, and metabolomics.
• Develop and optimize algorithms and pipelines for high-throughput data analysis, interpretation, and visualization.
• Collaborate closely with experimental biologists, clinicians, and other researchers to define project goals and computational strategies.
• Apply statistical methods and machine learning techniques to identify significant biological patterns and build predictive models.
• Contribute to the interpretation of research findings and the generation of hypotheses for further investigation.
• Manage and curate large biological databases, ensuring data integrity and accessibility.
• Develop and maintain robust bioinformatics tools and software for internal use.
• Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant biological domains.
• Mentor junior computational biologists and contribute to the scientific growth of the team.
• Prepare manuscripts for publication and present research findings at scientific conferences.
• Ensure reproducibility and documentation of all computational analyses.
• Evaluate and integrate new computational technologies and methodologies to enhance research capabilities.

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• Minimum of 5 years of post-doctoral or industry experience in computational biology or bioinformatics.
• Demonstrated expertise in analyzing large-scale biological datasets (e.g., next-generation sequencing data).
• Strong proficiency in programming languages such as Python, R, and/or Perl.
• Experience with common bioinformatics tools, databases, and algorithms.
• Solid understanding of molecular biology, genetics, and other relevant biological disciplines.
• Proficiency in statistical analysis and machine learning techniques applied to biological data.
• Experience with cloud computing platforms (e.g., AWS, GCP) and high-performance computing environments is a plus.
• Excellent problem-solving, analytical, and critical-thinking skills.
• Strong communication and interpersonal skills, with the ability to collaborate effectively in a remote team.
• Proven ability to work independently and manage multiple research projects simultaneously.
• Familiarity with the scientific research ecosystem in Bristol, South West England, UK , and surrounding institutions is beneficial, though the role is fully remote.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.

We are looking for a proficient Data Scientist to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.

Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.

To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.

Benefits:

• Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.

• Flexible schedule: choose which projects you take on and when you work.

• Competitive pay: projects are paid hourly, starting at $40+ USD per hour. Opportunities for higher-paying projects are available with strong performance.

• Impact: help shape the future of AI technologies.

Responsibilities:

• Design and solve diverse coding problems used to train AI systems.

• Write clear, high-quality code snippets and detailed explanations.

• Evaluate AI-generated code for accuracy, performance, and clarity.

• Provide feedback that directly shapes the next generation of AI models.

Qualifications:

• Fluency in English (native or bilingual level).

• Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.

• Excellent writing and grammar skills.

• A bachelor’s degree (completed or in progress).

• Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.

Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.