At a Glance
- Tasks: Join a cutting-edge research team to develop phylogenetic methodologies and lead innovative projects.
- Company: World-leading bioinformatics centre at the European Bioinformatics Institute near Cambridge.
- Benefits: Generous salary, flexible working, private medical insurance, and 30 days annual leave.
- Other info: Dynamic campus life with extensive sports, social activities, and support for international applicants.
- Why this job: Make a real impact in evolutionary biology and collaborate with top scientists.
- Qualifications: PhD in computational biology, programming skills in Python and C++, and strong communication abilities.
The predicted salary is between 44200 - 44200 £ per year.
We are seeking to recruit a Scientist to join Nick Goldman's research group at the European Bioinformatics Institute located on the Wellcome Genome Campus near Cambridge in the UK. The group researches the evolutionary analysis of DNA and protein sequences, genomic data analysis methods, modelling of molecular evolutionary processes and statistical inference based on these models. We are interested in applications of existing and novel sequence analyses in large‑scale comparative genomics, Next Generation Sequencing and the use of DNA for digital information storage.
What You’ll Do
- You will work with Nick Goldman and other members of the group on developing phylogenetic methodologies and their mathematical underpinnings, and on biological applications.
- You will be expected to participate in research projects already underway in the group and to develop your own projects in related areas.
- You will be expected to present your research at appropriate conferences and meetings.
- In addition to pursuing research, you will take responsibility for various tasks maintaining and developing the efficient operation of the group.
- These may include management or leadership of research projects of your own and the group’s, supervision of other staff (including post‑graduate students and junior visitors), collation of materials for reports and presentations, preparation of grant applications, teaching at training events (including abroad), and liaison with colleagues and collaborators both within and outside of EMBL.
What We Do
EMBL‑EBI is part of the European Molecular Biology Laboratory (EMBL) and is a world‑leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis and representation. EMBL‑EBI provides freely available data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academia and industry. We have close ties with both the University of Cambridge and the Wellcome Trust Sanger Institute.
Qualifications And Experience You Will Have:
- A PhD and substantial research experience and publications in computational biology.
- Experience in mathematical modelling and statistical data analysis.
- Experience in scientific and object‑oriented programming in Python and C++.
- Experience in applying for grants / academic funding.
- Excellent communication and interpersonal skills.
You May Also Have:
- A good understanding of and enthusiasm for the questions biologists ask of genome sequence data.
- A background in biology, mathematics/statistics, computer science or other technical disciplines, combined with subsequent cross‑disciplinary experience.
- Past experience and success in the leadership responsibilities described above.
- Programming experience in other languages (e.g. C, Java).
- Experience building research collaborations.
Contract Length: Fixed‑term, project‑based Staff Member contract with a fixed end date of 31/10/2027.
Salary: Grade 6, monthly starting salary at £3,695.61 per month after tax but excluding pension and insurance contributions. Plus, generous benefits.
Next Steps
Please apply with an up‑to‑date CV and cover letter outlining your motivations for applying and your relevant transferable skills and experience. This vacancy is open from Friday, 8th May with a scheduled closing date of Thursday, 21st May 2026 and we invite you to apply as soon as possible. We are committed to open and fair recruitment practices. We would like to be transparent that internal candidates with relevant experience will be prioritized for consideration and assessment. We welcome applications from all qualified candidates and will ensure a fair and objective selection process.
Enjoy Lots Of Benefits
- 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 working patterns.
- Private medical insurance for you and your immediate family (including all prescriptions and generous dental & optical cover).
- Generous time off: 30 days annual leave per year, in addition public holidays.
- Relocation package including installation grant (if required).
- Campus life: Free shuttle bus to and from work, on‑site library, subsidised on‑site gym and cafeteria, casual dress code, extensive sports and social club activities (on campus and remotely).
- Family benefits: On‑site nursery, 10 days of child sick leave, generous parental leave, holiday clubs on campus and monthly family and child allowances.
- Benefits for non‑UK residents: Visa exemption, education grant for private schooling, financial support to travel back to your home country every second year and a monthly non‑resident allowance.
What else you need to know
- International applicants: We recruit internationally and successful candidates are offered visa exemptions.
- Diversity and inclusion: At EMBL, we believe that diverse teams drive innovation and scientific excellence. We encourage applications from candidates of all genders, identities, nationalities and/or any other diverse backgrounds.
How to apply: To apply please submit a cover letter and a CV through our online system. Applications will close at 23:59 CET on the date shown below. We aim to provide a response within two weeks after the closing date.
Closing Date: 21/05/2026
Molecular Evolution Scientist: Phylogenetics & Genomics in Cambridge employer: European Bioninformatics Institute
At EMBL-EBI, located on the Wellcome Genome Campus near Cambridge, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through extensive training programmes, generous benefits including flexible working arrangements, and a supportive environment for research and development. With a focus on diversity and inclusion, we welcome talented individuals from all backgrounds to contribute to groundbreaking research in bioinformatics.
Contact Details:
European Bioninformatics Institute Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Molecular Evolution Scientist: Phylogenetics & Genomics in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in your field, especially those connected to the European Bioinformatics Institute. Attend conferences and seminars where you can meet potential colleagues and collaborators. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation of your past research projects and methodologies. This will not only demonstrate your expertise but also give you a chance to discuss your work in detail during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your answers and boost your confidence. Focus on articulating your experience in computational biology and your passion for genomic data analysis.
✨Tip Number 4
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 EMBL-EBI. Don’t forget to tailor your CV and cover letter to highlight your relevant skills and experiences!
We think you need these skills to ace Molecular Evolution Scientist: Phylogenetics & Genomics in Cambridge
Some tips for your application 🫡
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Make sure to highlight your motivations for applying and how your skills align with the role. Keep it engaging and personal – we want to see your passion for molecular evolution and bioinformatics!
Tailor Your CV:Don’t just send a generic CV! Tailor it to showcase your relevant experience in computational biology, programming, and any leadership roles you've had. We love seeing how your background fits with what we do at StudySmarter.
Show Off Your Research Experience:Make sure to detail your research projects and publications. We’re interested in your contributions to the field, especially in phylogenetics and genomics. Highlight any innovative methodologies you’ve developed or worked on!
Apply Through Our Website:Remember to submit your application through our online system. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at European Bioninformatics Institute
✨Know Your Stuff
Make sure you brush up on your knowledge of phylogenetics and genomics. Familiarise yourself with the latest research in these areas, especially any work by Nick Goldman. Being able to discuss recent advancements or methodologies will show your genuine interest and expertise.
✨Showcase Your Skills
Prepare to discuss your experience with programming languages like Python and C++. Have examples ready that demonstrate your ability to apply mathematical modelling and statistical analysis in real-world scenarios. This will help you stand out as a candidate who can contribute immediately.
✨Be Project-Ready
Think about potential research projects you could propose that align with the group's current work. Having a few ideas in mind will not only show your initiative but also your understanding of the group's goals and how you can fit into them.
✨Communicate Effectively
Since excellent communication skills are a must, practice explaining complex concepts in simple terms. You might be asked to present your past research or explain your approach to a problem, so being clear and concise will be key to making a good impression.