229 Bioinformatician jobs in London

Senior/Lead Bioinformatician (Proteomics)

A bit about us

At Inoviv, we are building a world where every treatment reaches its full potential, powered by timely and precise proteomics insights. 

Using our unique technology platform in combination with targeted mass spectrometry, we develop new biomarker tests that quantify molecules in biofluid samples with high accuracy and reproducibility. The aim of these tests is to deliver diagnostic, prognostic or treatment efficacy data which can be used in clinical trials to aid the development of new therapies, as well as for marketed drugs as companion/complementary diagnostic tools. We are working closely with pharmaceutical companies to help patients with neurodegeneration (Alzheimer’s, Parkinson’s, muscular dystrophies), kidney disease, cancers and other conditions.

We are a team of passionate individuals supported by academic and commercial advisors from Oxford University, King’s College London, Imperial College London, Charité University Hospital and Olink. We are also backed by the world’s leading talent investor Entrepreneur First.

We are based in central London and are open to flexible or fully remote working. 

More about us here:

The role

Reporting directly to the CSO, you will analyse, visualise and interpret discovery and targeted proteomics data, generating publication quality outputs for client reports, patent applications and peer-reviewed publications. You will contribute to streamlining and automating current processes/workflows (e.g. experimental design, data analysis), and conceptualise and build new ones. You will work within a talented scientific team with considerable autonomy and support the growth of the bioinformatics function at Inoviv.

Key responsibilities include:

●   Analysing and visualising discovery and targeted proteomics datasets, generated on various LC-MS platforms, including DIA, DDA, TMT, MRM data from Thermo, SCIEX, Waters and other platforms.

●   Conducting a variety of univariate and multivariate statistical analyses, including PCA, PLS-DA, Volcano plots, various linear and multiple regressions.

●   Statistical modelling of clinical outcomes from large scale high resolution Mass Spectrometry clinical trial datasets.

●   Producing publication quality outputs for client reports, patent applications and peer-reviewed publications.

●   Interpreting the generated datasets in conjunction with publicly available data, conducting further insight analysis.

●   Streamlining and automating current experimental design and data analysis processes and workflows, typically in Python or R.

●   Maintaining and innovating internal tools and data structures.

●   Communication of key findings and highly complex analyses to a variety of audiences.

●   Other activities to ensure successful R&D and client project delivery.

Why this is a great role

●   Accelerated career development - the responsibilities of the role will be growing fast, in line with the growth of the company. 

●   You will be developing the next generation biomarker tests which have the potential to impact drug development and advance precision medicine. 

●   Dynamic working environment with virtually no bureaucracy. 

●   You will be a crucial team member with the power to make a real, tangible impact on the company and influence how we grow the business. 

●   This is a permanent, full- or part-time, office- or home-based position. 

●    You will have employee share options meaning you will own part of the company. 

●    Learn more about our benefits here:

Your qualifications & experience should include: 

●   PhD or equivalent background in Bioinformatics, Computational biology, Biostatistics or a related discipline with significant research experience.

●   Substantial prior experience of proteomics data analysis and visualisation.

●   Evidence based significant experience in data and statistical modelling approaches.

●   Evidence based experience of presenting data/graphical outputs to non-technical audiences.

●   Proven programming skills in either Python or R.

The ideal person will:

●   Be able to work effectively in a fast-paced environment. 

●   Have strong communication skills and ability to work in a team.

●   Have excellent organisation skills and flexibility to manage projects with different deadlines.

●   Be ambitious, driven and seek out highly valuable work and prioritise it effectively.

●   Want work to be meaningful and to be part of a business dedicated to having a positive impact on human health.

How to apply 

If you would like to join this exciting, forward-thinking company and take the next step in your career, then please get in touch. Please apply on LinkedIn. More on our hiring process here:

Inoviv is committed to equality and values diversity. Read about our "Biomarkers of Belonging" here:

If you don’t meet all of the criteria above but have a genuine interest in joining our team and mission please get in touch.

Senior/Lead Bioinformatician (Proteomics)

A bit about us

At Inoviv, we are building a world where every treatment reaches its full potential, powered by timely and precise proteomics insights. 

Using our unique technology platform in combination with targeted mass spectrometry, we develop new biomarker tests that quantify molecules in biofluid samples with high accuracy and reproducibility. The aim of these tests is to deliver diagnostic, prognostic or treatment efficacy data which can be used in clinical trials to aid the development of new therapies, as well as for marketed drugs as companion/complementary diagnostic tools. We are working closely with pharmaceutical companies to help patients with neurodegeneration (Alzheimer’s, Parkinson’s, muscular dystrophies), kidney disease, cancers and other conditions.

We are a team of passionate individuals supported by academic and commercial advisors from Oxford University, King’s College London, Imperial College London, Charité University Hospital and Olink. We are also backed by the world’s leading talent investor Entrepreneur First.

We are based in central London and are open to flexible or fully remote working. 

More about us here: -our-team-69d836fa b fded3e94f82

The role

Reporting directly to the CSO, you will analyse, visualise and interpret discovery and targeted proteomics data, generating publication quality outputs for client reports, patent applications and peer-reviewed publications. You will contribute to streamlining and automating current processes/workflows (e.g. experimental design, data analysis), and conceptualise and build new ones. You will work within a talented scientific team with considerable autonomy and support the growth of the bioinformatics function at Inoviv.

Key responsibilities include:

●   Analysing and visualising discovery and targeted proteomics datasets, generated on various LC-MS platforms, including DIA, DDA, TMT, MRM data from Thermo, SCIEX, Waters and other platforms.

●   Conducting a variety of univariate and multivariate statistical analyses, including PCA, PLS-DA, Volcano plots, various linear and multiple regressions.

●   Statistical modelling of clinical outcomes from large scale high resolution Mass Spectrometry clinical trial datasets.

●   Producing publication quality outputs for client reports, patent applications and peer-reviewed publications.

●   Interpreting the generated datasets in conjunction with publicly available data, conducting further insight analysis.

●   Streamlining and automating current experimental design and data analysis processes and workflows, typically in Python or R.

●   Maintaining and innovating internal tools and data structures.

●   Communication of key findings and highly complex analyses to a variety of audiences.

●   Other activities to ensure successful R&D and client project delivery.

Why this is a great role

●   Accelerated career development - the responsibilities of the role will be growing fast, in line with the growth of the company. 

●   You will be developing the next generation biomarker tests which have the potential to impact drug development and advance precision medicine. 

●   Dynamic working environment with virtually no bureaucracy. 

●   You will be a crucial team member with the power to make a real, tangible impact on the company and influence how we grow the business. 

●   This is a permanent, full- or part-time, office- or home-based position. 

●    You will have employee share options meaning you will own part of the company. 

●    Learn more about our benefits here: - d639b844a198fb11f9d4de9fdd

Your qualifications & experience should include: 

●   PhD or equivalent background in Bioinformatics, Computational biology, Biostatistics or a related discipline with significant research experience.

●   Substantial prior experience of proteomics data analysis and visualisation.

●   Evidence based significant experience in data and statistical modelling approaches.

●   Evidence based experience of presenting data/graphical outputs to non-technical audiences.

●   Proven programming skills in either Python or R.

The ideal person will:

●   Be able to work effectively in a fast-paced environment. 

●   Have strong communication skills and ability to work in a team.

●   Have excellent organisation skills and flexibility to manage projects with different deadlines.

●   Be ambitious, driven and seek out highly valuable work and prioritise it effectively.

●   Want work to be meaningful and to be part of a business dedicated to having a positive impact on human health.

How to apply 

If you would like to join this exciting, forward-thinking company and take the next step in your career, then please get in touch. Please apply on LinkedIn. More on our hiring process here: -d529da9af98f4194a757f c79

Inoviv is committed to equality and values diversity. Read about our "Biomarkers of Belonging" here:

-Biomarkers-of-belonging-358db b e46fa4e1c0

If you don’t meet all of the criteria above but have a genuine interest in joining our team and mission please get in touch.

Your new company
You'll be joining a pioneering biotechnology company at the forefront of microbiome research. This well-funded and fast-moving biotech is backed by leading investors and an experienced team carrying out cutting-edge science to make a significant real-world impact.
They are based in London and looking to go into their next period of company growth.


Your new role
As a Bioinformatics Lead, you will play a key role in driving the company's computational research. This is a permanent role that requires a strong on-site presence at their site in London.Responsibilities include:

• Designing and implementing bioinformatics pipelines for microbial / microbiome analysis
• Conducting statistical evaluations of microbiome datasets using R and Python
• Collaborating with biologists to interpret sequencing data
• Designing and leading bioinformatics and data science related projects
• Developing reproducible workflows for metagenomic and Amplicon-based studies
• Supporting experimental design and data collection strategies for projects
• Maintaining and improving internal databases and documentation standards
• Presenting findings to cross-functional teams and external stakeholders

What you'll need to succeed
You should bring a blend of technical expertise and scientific curiosity.Key qualifications include:

• An MSc or PhD (or equivalent experience) within Bioinformatics, Biology, Microbiology, or a related field
• Proven experience in bioinformatics, working with microbiome or microbial genomic data
• Proficiency in R and Python for statistical analysis and data visualisation
• Familiarity with tools such as QIIME2, DADA2, and Snakemake or Nextflow
• Strong understanding of microbial ecology and sequencing technologies - eg ONT Amplicon, Illumina, PacBio etc
• Ability to work collaboratively in multidisciplinary teams
• Very good communication skills for translating complex data into understandable insights

Previous experience working in a fast-paced or start-up environment is a nice to have for this role, as is exposure/familiarity with Machine Learning approaches.

What you'll get in return
You'll get the chance to make a significant impact on the business as they continue to grow, coupled with excellent opportunities for personal & professional growth and a generous salary package.
There is some flexibility for home working however the company is looking for a minimum of 3 days per week on-site.


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: bioinformatics, bioinformatician, NGS, microbiome, genomics, metagenomics, sequencing, R, Python, Nextflow, pipelines, data, statistics, microbial, plant, analysis, workflow, datasets, biology, computational, science, scientist, research, innovation, microbiology, biotechnology, London

Your new company
You'll be joining a pioneering biotechnology company at the forefront of microbiome research. This well-funded and fast-moving biotech is backed by leading investors and an experienced team carrying out cutting-edge science to make a significant real-world impact.
They are based in London and looking to go into their next period of company growth.

Your new role
As a Bioinformatics Lead, you will play a key role in driving the company's computational research. This is a permanent role that requires a strong on-site presence at their site in London.Responsibilities include:

• Designing and implementing bioinformatics pipelines for microbial / microbiome analysis
• Conducting statistical evaluations of microbiome datasets using R and Python
• Collaborating with biologists to interpret sequencing data
• Designing and leading bioinformatics and data science related projects
• Developing reproducible workflows for metagenomic and Amplicon-based studies
• Supporting experimental design and data collection strategies for projects
• Maintaining and improving internal databases and documentation standards
• Presenting findings to cross-functional teams and external stakeholders

What you'll need to succeed
You should bring a blend of technical expertise and scientific curiosity.Key qualifications include:

• An MSc or PhD (or equivalent experience) within Bioinformatics, Biology, Microbiology, or a related field
• Proven experience in bioinformatics, working with microbiome or microbial genomic data
• Proficiency in R and Python for statistical analysis and data visualisation
• Familiarity with tools such as QIIME2, DADA2, and Snakemake or Nextflow
• Strong understanding of microbial ecology and sequencing technologies - eg ONT Amplicon, Illumina, PacBio etc
• Ability to work collaboratively in multidisciplinary teams
• Very good communication skills for translating complex data into understandable insights

Previous experience working in a fast-paced or start-up environment is a nice to have for this role, as is exposure/familiarity with Machine Learning approaches.

What you'll get in return
You'll get the chance to make a significant impact on the business as they continue to grow, coupled with excellent opportunities for personal & professional growth and a generous salary package.
There is some flexibility for home working however the company is looking for a minimum of 3 days per week on-site.

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: bioinformatics, bioinformatician, NGS, microbiome, genomics, metagenomics, sequencing, R, Python, Nextflow, pipelines, data, statistics, microbial, plant, analysis, workflow, datasets, biology, computational, science, scientist, research, innovation, microbiology, biotechnology, London

• Leading independent research projects in computational biology, from hypothesis generation to experimental design and data analysis.
• Developing and applying advanced computational and statistical methods to analyze large, complex biological datasets (e.g., next-generation sequencing, single-cell omics).
• Identifying and validating potential therapeutic targets and biomarkers.
• Collaborating with experimental teams to interpret results and design follow-up experiments.
• Developing and maintaining robust analytical pipelines and software tools.
• Mentoring junior scientists and postdoctoral fellows in computational biology techniques.
• Contributing to grant writing and securing research funding.
• Publishing research findings in high-impact peer-reviewed journals.
• Presenting research at international conferences and scientific meetings.
• Staying abreast of the latest advancements in computational biology, bioinformatics, and relevant scientific fields.

• A PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• A minimum of 5 years of post-doctoral or industry research experience in computational biology.
• Demonstrated expertise in analyzing large-scale genomic, transcriptomic, or proteomic datasets.
• Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl) and experience with relevant bioinformatics software and databases.
• Strong understanding of statistical modeling, machine learning, and data mining techniques.
• Proven track record of independent research, publications in reputable journals, and successful grant applications.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to collaborate effectively in a multidisciplinary team.
• Experience in a wet-lab research environment is a plus.

• Lead and conduct innovative research projects in computational biology, focusing on areas such as genomics, transcriptomics, proteomics, and systems biology.
• Develop and apply advanced computational algorithms, statistical models, and machine learning techniques to analyze large-scale biological datasets.
• Design and implement computational pipelines for data processing, integration, and interpretation.
• Collaborate with experimental biologists and clinicians to formulate research questions and interpret results.
• Supervise and mentor junior researchers, postdocs, and technical staff.
• Write high-impact research publications for peer-reviewed journals and present findings at international conferences.
• Secure research funding through grant applications and proposals.
• Contribute to the strategic direction of the research group and the institution.
• Maintain up-to-date knowledge of the latest advancements in computational biology, bioinformatics, and relevant biological fields.
• Manage research projects, including budgets, timelines, and resources.
• Ensure compliance with ethical guidelines and data management best practices.

• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a closely related quantitative field.
• Extensive post-doctoral and independent research experience (typically 8+ years) with a strong publication record.
• Demonstrated expertise in analyzing large-scale biological data (e.g., next-generation sequencing, mass spectrometry).
• Proficiency in programming languages commonly used in bioinformatics (e.g., Python, R, Perl, C++).
• Strong knowledge of statistical methods, machine learning, and data mining techniques applied to biological problems.
• Experience with high-performance computing environments and cloud platforms.
• Excellent understanding of molecular biology, genetics, and systems biology.
• Proven leadership, mentoring, and team management skills.
• Exceptional scientific communication and presentation skills.
• Ability to think critically, creatively, and solve complex problems independently.
• Experience in grant writing and successful funding acquisition is essential.

• Lead research initiatives in computational biology, designing and implementing innovative analytical approaches.
• Develop and apply advanced computational methods to analyse complex biological datasets (e.g., genomics, transcriptomics, proteomics, metabolomics).
• Build predictive models for disease mechanisms, drug response, and target identification.
• Collaborate closely with experimental biologists, chemists, and clinicians to integrate computational findings with wet-lab experiments.
• Design and manage research projects, ensuring timely and successful completion.
• Interpret complex data, generate novel hypotheses, and communicate findings clearly.
• Author high-impact scientific publications and present research at international conferences.
• Mentor and guide junior scientists and research staff.
• Stay abreast of the latest advancements in computational biology, bioinformatics, and relevant scientific fields.
• Contribute to the development of novel computational tools and pipelines.

• Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative discipline.
• 10+ years of post-doctoral research experience in computational biology or a closely related field.
• Proven track record of significant scientific contributions, evidenced by high-impact publications.
• Expertise in statistical analysis, machine learning, and data mining techniques applied to biological data.
• Proficiency in programming languages such as Python, R, or Perl, and relevant scientific libraries.
• Strong experience with bioinformatics tools and databases.
• Demonstrated ability to lead complex research projects and manage cross-functional teams.
• Excellent analytical, problem-solving, and critical thinking skills.
• Outstanding communication and presentation skills for scientific audiences.
• Experience in the pharmaceutical or biotechnology industry is a significant advantage.

• Lead the design and execution of computational biology projects, from conception to the delivery of actionable biological insights.
• Develop, implement, and validate novel algorithms and computational pipelines for the analysis of diverse biological data, including genomics, transcriptomics, proteomics, and metabolomics.
• Integrate multi-omics datasets to uncover complex biological relationships and disease drivers.
• Collaborate closely with experimental biologists, clinicians, and data scientists to interpret results and guide experimental design.
• Identify and validate novel drug targets and biomarkers for therapeutic intervention.
• Stay at the forefront of computational biology and bioinformatics, evaluating and adopting new technologies and methodologies.
• Mentor and guide junior computational biologists and data scientists, fostering scientific growth and technical excellence.
• Communicate complex scientific findings effectively to both technical and non-technical audiences through presentations, publications, and reports.
• Contribute to the strategic scientific vision of the company, identifying new research opportunities and collaborations.
• Ensure the quality, reproducibility, and documentation of all computational analyses.
• Manage external collaborations with academic institutions and research partners.
• Contribute to patent applications and scientific publications.

• PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related quantitative field.
• A minimum of 8 years of relevant post-doctoral and/or industry experience in computational biology and data analysis.
• Proven track record of leading complex research projects and delivering significant scientific contributions.
• Expertise in programming languages commonly used in bioinformatics (e.g., Python, R) and experience with high-performance computing environments.
• Deep understanding of statistical methods and machine learning techniques applied to biological data.
• Experience with common bioinformatics tools and databases for genomics, transcriptomics, and proteomics analysis.
• Strong knowledge of molecular biology, genetics, and disease biology.
• Excellent problem-solving, critical thinking, and analytical skills.
• Superb communication and interpersonal skills, with the ability to present complex data clearly and persuasively.
• Experience mentoring junior scientists and leading scientific teams is essential.
• Familiarity with cloud computing platforms (e.g., AWS, GCP) is a plus.
• Candidates must be based within commuting distance of London, England, UK and able to work in the office on a hybrid schedule.

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.