Principal/Senior Bioinformatician

Wellcome Sanger Institute
Hinxton
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Recruitment Consultant - AI & Data Science - Manchester

UNPAID VOLUNTEER - Technology Officers (Data Scientists/DevOps/Full Stack)

Principal Control Tower Data Analyst.

Principal Software Engineer

Senior Data Analyst

Do you want to help us improve human health and understand life on Earth? Make your mark by shaping the future to enable or deliver life-changing science to solve some of humanity's greatest challenges.

We have an exciting opportunity for aPrincipal / Senior Bioinformaticianto lead/support the day-to-day running of our bioinformatics support service within theCancer, Ageing, Somatic Mutation Informatics Team (CASM IT) for a 3 year fixed term contract.

Researchers come to us with a wide range of requests, from running automated high-throughput pipelines and troubleshooting results to exploring new computational methods, optimising large-scale analyses, developing novel software, or transitioning their work into a production environment. You will manage and improve how we support them, ensuring they receive timely, high-quality advice while also identifying opportunities to refine training, documentation, and tooling to better meet the needs of the Programme.

You will be responsible for:

  • Overseeing and coordinating our helpdesk and bioinformatics support, ensuring researchers get the right help at the right time.
  • Working directly with multi-omics data (e.g., somatic and germline analyses, RNA-seq, single-cell, spatial transcriptomics, methylation, CRISPR).
  • Driving innovation, identifying and evaluating emerging techniques and technologies that could enhance our science.
  • Advising on best practices, helping researchers apply the latest tools and approaches to their work.
  • Contributing to workflow optimisation and benchmarking, ensuring CASM IT's tools and pipelines are efficient and sustainable.
  • Communicating complex scientific and computational concepts to both researchers and operational teams, acting as a bridge between research and development.
  • Supporting manuscript writing, ensuring analyses and methods are well-documented and publication-ready.
  • Developing training resources and workshops, equipping researchers with the skills to work more effectively with their data.


About Us:

CASM IT is a collaborative and dynamic team, working closely with researchers to ensure they have the right expertise, resources, and guidance to make the most of their data. You'll work alongside bioinformaticians, software developers, and wet-lab researchers, helping to integrate and improve the tools and approaches they rely on. Our infrastructure includes high-performance computing and large-scale storage, supporting complex, data-intensive research in cancer genomics, single-cell and spatial transcriptomics, and multi-omics research.

This role offers you the chance to make a real impact on how bioinformatics is supported across the Programme. If you enjoy solving diverse research challenges, driving innovation, and working closely with researchers, we'd love to hear from you!

About You:

We're looking for a highly motivated bioinformatician or computational biologist with strong communication and problem-solving skills. You should be comfortable working independently while also collaborating closely with researchers and software developers.

This role offers you the opportunity to shape and grow CASM IT's bioinformatics support within a world-leading institute. You will work closely with scientists working at the cutting edge of cancer biology and multi-omics research, helping them unlock insights through advanced computational methods.

Essential Skills:

  • MSc (or equivalent experience) in Bioinformatics, Computational Biology, Biosciences, Physics, or a related field.
  • Strong experience working with multi-omics datasets, particularly in cancer genomics, single-cell, RNA-seq, or methylation analysis.
  • Demonstrable in Python and/or R for bioinformatics data analysis.
  • Solid UNIX/Linux and Bash scripting skills for working in HPC and cloud environments.
  • Strong scientific writing skills, with experience contributing to papers, reports, or documentation.
  • Excellent communication skills, capable of translating technical concepts for both scientific and operational audiences.
  • Self-motivated and able to work independently, managing priorities in a dynamic environment.


Additional Skills for Principal Bioinformatician:

  • PhD (or equivalent experience) in Bioinformatics, Computational Biology, Biosciences, Physics or a related field
  • Proficiency in Python and/or R for Bioinformatics data analysis
  • Influencing skills


Desirable Skills:

  • Experience with gene editing technologies (e.g., CRISPR).
  • Knowledge of machine learning and/or statistical methods for bioinformatics.
  • Experience developing and maintaining computational workflows (e.g., Nextflow, Snakemake, or equivalent).
  • Experience troubleshooting bioinformatics issues for researchers.
  • Familiarity with HPC environments and cloud computing for bioinformatics workflows.


Other Information:

Salary per annum (dependent upon skills and experience):

Senior Bioinformatician (grade 2): £44,905-£53,349

Principal Bioinformatician (grade 1): £53,717-£63,815

Application Process:

Please apply with your CV and a cover letter outlining which role you would like to be considered for and how you meet the criteria set out above.

Closing Date

15th April 2025

Hybrid Working at Wellcome Sanger:

We recognise that there are many benefits to Hybrid Working; including an improved work-life balance, with more focused time, as well as the ability to organise working time so that collaborative opportunities and team discussions are facilitated on campus. The hybrid working arrangement will vary for different roles and teams. The nature of your role and the type of work you do will determine if a hybrid working arrangement is possible.

Equality, Diversity and Inclusion:

We aim to attract, recruit, retain and develop talent from the widest possible talent pool, thereby gaining insight and access to different markets to generate a greater impact on the world. We have a supportive culture with the following staff networks, LGBTQ+, Parents and Carers, Disability and Race Equity to bring people together to share experiences, offer specific support and development opportunities and raise awareness. The networks are also a place for allies to provide support to others.

We want our people to be whoever they want to be because we believe people who bring their best selves to work, do their best work. That's why we're committed to creating a truly inclusive culture at Sanger Institute. We will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive.

Our Benefits:

We are proud to deliver an awarding campus-wide employee wellbeing strategy and programme. The importance of good health and adopting a healthier lifestyle and the commitment to reduce work-related stress is strongly acknowledged and recognised at Sanger Institute.

Sanger Institute became a signatory of the International Technician Commitment initiative In March 2018. The Technician Commitment aims to empower and ensure visibility, recognition, career development and sustainability for technicians working in higher education and research, across all disciplines.YmJnZW5lcmljLjMwODMzLjEyMjcxQHNhbmdlcmluc3RpdHV0ZS5hcGxpdHJhay5jb20.gif

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!