At a Glance
- Tasks: Join the Velankar team to enhance biological data processing and develop web applications.
- Company: EMBL-EBI, a leader in biological data analysis and innovation.
- Benefits: Flexible working, generous leave, private medical insurance, and relocation support.
- Why this job: Make a real impact on global health and biodiversity through innovative bioinformatics.
- Qualifications: MSc or PhD in bioinformatics, Python proficiency, and experience in data analysis.
- Other info: Collaborative culture with excellent career growth opportunities in a beautiful campus setting.
Join us as a Bioinformatician at the European Bioinformatics Institute (EMBL‑EBI – HAVANA team).
About the Team
Part of Ensembl, a world‑leading provider of genomics data resources and bioinformatics software tools, the HAVANA team produces reference‑quality gene annotation for the human and mouse genomes. As part of the GENCODE project we leverage cutting‑edge technologies and develop novel approaches to ensure GENCODE provides foundational reference genome annotation for human and mouse. GENCODE is a Global Core Biodata Resource with users ranging from international consortia to individual researchers. Our role in the Primary Annotated Resources to Advance Discovery In Genomic Medicine (PARADIGM) consortium is to optimise gene annotation to support genomic medicine, for example through collaboration with NCBI RefSeq to produce the Matched Annotation from NCBI and EMBL‑EBI (MANE) transcript set.
Our team comprises genomic data analysts and bioinformatics developers who incorporate scientific knowledge and data into gene annotation. Hands‑on annotation of genes and transcripts by expert scientists informs the development of manually supervised automated pipelines that support scalable, human‑expert quality annotation.
Duties & Responsibilities
- Develop and deploy annotation systems to produce and validate reference‑quality gene annotations.
- Work alongside genomic data analysts to produce and improve reference‑quality, evidence‑based annotation of protein‑coding genes, non‑coding RNA genes, and others.
- Integrate cutting‑edge primary data to create and validate gene structure and function annotation.
- Develop pipelines to extend GENCODE annotation from a single reference genome to the human and mouse pan‑genomes.
- Develop pipelines to generate training sets for machine‑learning initiatives.
- Maintain a version‑controlled code base.
- Query databases and help maintain/expand associated schemas.
- Operate in a release‑based environment and coordinate with other teams.
- Collaborate with international partners on genome projects.
- Participate in training users in our annotation methods and workflows.
Qualifications & Requirements
Applicants should hold an MSc, PhD, or equivalent experience in Computer Science, Bioinformatics, Genetics, or a related field.
- Strong programming skills: writing, understanding, and maintaining complex code.
- Domain experience in genome annotation.
- Knowledge of DNA/RNA sequencing and sequence alignment methods.
- Experience with relational databases.
- Understanding of scaling and optimisation.
- Basic machine‑learning concepts.
Behaviours We Look For
- Strong communication and interpersonal skills.
- Ability to manage own time and balance multiple tasks.
- Excellent attention to detail and problem‑solving skills.
- Ability to work effectively in a team.
- Willingness to learn, develop, and adapt in a fast‑moving research environment.
- Confidence communicating both biological and computational concepts, orally and in writing.
Desirable
- Experience processing large biological data sets in a production environment, including compute clusters, pipeline workflows, software design, and automation.
- Evidence of contributing to a large, shared codebase; experience with Riboseq data is highly desirable.
Benefits & Working Conditions
- Hybrid working: three days on site, two days from home.
- Contract length: 3 years (grant‑based).
- Salary: Grade 5, ÂŁ3,303 per month after tax (pension and insurance contributions excluded).
- Financial incentives: monthly family, child and non‑resident allowances, annual salary review, pension scheme, death benefit, long‑term care, accident‑at‑work and unemployment insurances.
- Flexible working arrangements – including hybrid patterns.
- Private medical insurance for you and immediate family.
- Generous time off: 30 days annual leave plus public holidays.
- Relocation package incl. installation grant.
- Campus life: free shuttle bus, on‑site library, subsidised gym and cafeteria, casual dress code, extensive sports and social club activities.
- Family benefits: on‑site nursery, child sick leave, parental leave, holiday clubs, monthly allowances.
- Non‑UK resident benefits: visa exemption, education grant for private schooling, monthly non‑resident allowance, travel support every second year.
Application Process
Submit a personalised cover letter and CV online. Incomplete applications will not be considered. We aim to respond within two weeks after the closing date.
Closing date: 10/01/2026.
Diversity & Inclusion
EMBL‑EBI is a signatory of DORA and encourages applications from candidates of all genders, identities, nationalities, and backgrounds.
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Bioinformatician employer: European Bioinformatics Institute | EMBL-EBI
Contact Detail:
European Bioinformatics Institute | EMBL-EBI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatician
✨Network Like a Pro
Get out there and connect with people in the bioinformatics field! Attend conferences, workshops, or even local meetups. You never know who might have a lead on your dream job or can introduce you to someone at EMBL-EBI.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with Python and data pipelines. Share specific examples of projects you've worked on that relate to protein domain analysis or web applications.
✨Be Curious and Ask Questions
During interviews or networking events, don’t hesitate to ask questions about the team’s current projects or challenges. This shows your genuine interest and helps you understand how you can contribute to their goals at EMBL-EBI.
✨Apply Through Our Website
Make sure to submit your application through our website. It’s the best way to ensure your CV gets seen by the right people. Plus, it shows you’re serious about joining the innovative team at EMBL-EBI!
We think you need these skills to ace Bioinformatician
Some tips for your application 🫡
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to highlight your passion for bioinformatics and how your skills align with the role. Be creative and show us why you're the perfect fit for the Velankar team!
Tailor Your CV: Don’t just send a generic CV! Tailor it to showcase your experience in protein domain analysis and data pipelines. Highlight any relevant projects or publications that demonstrate your expertise in Python and bioinformatics.
Show Off Your Communication Skills: Since excellent written and oral English skills are key, make sure your application is clear and concise. Use straightforward language and avoid jargon unless necessary. We want to see how well you can communicate complex ideas!
Apply Through Our Website: Remember, the best way to apply is through our online system. It’s super easy and ensures your application gets to the right place. Don’t miss out on this fantastic opportunity – hit that apply button!
How to prepare for a job interview at European Bioinformatics Institute | EMBL-EBI
✨Know Your Bioinformatics Basics
Make sure you brush up on your bioinformatics fundamentals, especially around protein domains and data analysis. Be ready to discuss your experience with Python libraries and how you've used them in past projects.
✨Showcase Your Creativity
Since the role requires a creative mindset, think of examples where you've innovated or improved processes in your previous work. Prepare to share specific instances where your curiosity led to impactful results.
✨Familiarise Yourself with PDBe and SCOP
Do some research on the PDBe and SCOP teams, their projects, and how they contribute to the field. Being able to discuss their work and how you can add value will show your genuine interest in the role.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines and web applications. Brush up on your knowledge of PDB data formats and be ready to explain your approach to creating and improving biological data processing pipelines.