Computer Biologist

Computer Biologist

Full-Time 38800 - 47400 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Curate genome assemblies and enhance automated processes using bespoke software.
  • Company: Join the Wellcome Sanger Institute, a leader in genomic research.
  • Benefits: Enjoy a competitive salary, hybrid working, and a supportive work-life balance.
  • Why this job: Make a global impact in science while collaborating with top researchers.
  • Qualifications: Advanced degree in Biology or Computing, with genomics knowledge.
  • Other info: Dynamic team environment with opportunities for professional growth.

The predicted salary is between 38800 - 47400 £ per year.

We are seeking a talented Computational Biologist to join the team on a 2 year contract contributing to the curation of genome assemblies to produce high quality chromosome-scale references.

About the Role:

The team is generating genome assemblies for thousands of species. We need you to analyse and improve the resulting assemblies to generate the best possible outcome for use by the scientific community to support exciting science all around the globe.

You will be responsible for:

  • The improvement of automated genome assemblies through manual curation using bespoke software and tools.
  • Feedback lessons learned from the curation process to the teams generating assemblies, influencing software development and overall assembly strategy.

About You:

You will have a sound knowledge of genomics and sequence assembly, and possess a high level of problem-solving skills to further improve automated genome assemblies through manual curation using bespoke software and tools. In addition, you have excellent communication skills to feedback lessons learned from the curation process to those working in assembly generation, influencing software development and overall assembly strategy.

You have experience of working collaboratively with others in a professional environment. You are a strong team player and disseminate knowledge and novel insights effectively to ensure constant process improvements whilst retaining consistency within the team. You are organised with the ability to work flexibly to support a number of projects and changing priorities and deliver to agreed quality and timelines.

We have a strong publication record and culture of producing open data resources. This role requires an investigative mindset, with quick decision making and dedication to finalising tasks.

Essential Technical Skills:

  • Advanced degree in a Biological or Computational discipline, or equivalent experience
  • Demonstrable knowledge of genomics, genome assembly and analysis
  • Knowledge of the Unix computing environment, ability to modify files and run command line scripts

Essential Competencies and Behaviours:

  • Excellent critical and problem-solving skills
  • Ability to quickly adapt to new problems and ideas
  • Ability to organise, plan and prioritise a diverse range of work to meet deadlines
  • A high level of communication skills to be able to document and convey complex information to groups with different levels of technical knowledge
  • Attention to detail and the ability to work to meet timelines
  • Ability to work in a team to exchange findings and ideas and to ensure consistency and highest quality

The Tree of Life (ToL) Programme investigates the diversity of complex organisms through sequencing and cellular technologies to explore the evolution of eukaryotic life, provide the raw materials for new biotechnology and deliver tools and understanding for biodiversity conservation. ToL generates genome assemblies for several large Earth BioGenome project initiatives.

Other Information:

We operate a hybrid working pattern with the requirement of a minimum 3 days working onsite in this team.

Application Process:

Please apply with your CV and a Cover letter outlining how you meet the essential skills set out above, why you want to apply to this role and what value/experience you can bring.

Salary per annum: £44,905 - £53,000

Contract Type: 2 year contract

Recruitment Process: Shortlisting w/c 23rd February, Interviews w/c 2nd March or w/c 9th March

Closing date: 22nd February 2026

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.

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 are committed to creating a truly inclusive culture at Sanger Institute.

Our Benefits:

We offer an attractive benefits package at the Wellcome Sanger Institute. We appreciate the importance of achieving work-life balance and support this with a number of family and carer-friendly policies.

Computer Biologist employer: Wellcome Genome Campus Limited

The Wellcome Sanger Institute is an exceptional employer, offering a collaborative and inclusive work culture that fosters innovation in genomics and biodiversity research. Located in Hinxton, Cambridgeshire, employees benefit from a hybrid working model, generous wellbeing initiatives, and opportunities for professional growth within a leading scientific community dedicated to impactful research. With a strong commitment to diversity and employee development, the Sanger Institute provides a supportive environment where your contributions can make a real difference.
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Contact Detail:

Wellcome Genome Campus Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Computer Biologist

✨Tip Number 1

Network like a pro! Reach out to people in the field of computational biology, attend relevant meetups or webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to genomics and sequence assembly. This can really set you apart during interviews and give potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by brushing up on common questions in computational biology. Think about how your problem-solving skills can improve automated genome assemblies and be ready to discuss specific examples from your experience.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at the Wellcome Sanger Institute.

We think you need these skills to ace Computer Biologist

Genomics
Genome Assembly
Data Analysis
Unix Computing Environment
Command Line Scripting
Problem-Solving Skills
Communication Skills
Team Collaboration
Attention to Detail
Organisational Skills
Adaptability
Critical Thinking
Project Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Computer Biologist role. Highlight your experience in genomics and sequence assembly, and don’t forget to showcase those problem-solving skills we’re looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you want to join us at the Sanger Institute and how your background aligns with our mission. Be genuine and let your passion for computational biology come through.

Showcase Teamwork Skills: We love team players! In your application, mention any collaborative projects you've worked on. Highlight how you’ve shared knowledge and contributed to team success, as this is key for us.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to the right people. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Wellcome Genome Campus Limited

✨Know Your Genomics

Make sure you brush up on your knowledge of genomics and sequence assembly. Be ready to discuss specific examples from your experience where you've improved genome assemblies or used bespoke software. This will show that you not only understand the theory but can apply it practically.

✨Show Off Your Problem-Solving Skills

Prepare to share instances where you've tackled complex problems in your previous roles. Think about how you approached these challenges and what the outcomes were. This is your chance to demonstrate your critical thinking and adaptability, which are key for this role.

✨Communicate Clearly

Since you'll need to convey complex information to diverse groups, practice explaining your past projects in simple terms. Use clear language and avoid jargon when possible. This will help you connect with the interviewers and showcase your communication skills.

✨Be a Team Player

Highlight your collaborative experiences during the interview. Share examples of how you've worked with others to achieve common goals, especially in a scientific context. This will illustrate your ability to fit into their team-oriented culture and contribute positively.

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