At a Glance
- Tasks: Join a leading research group to develop innovative methodologies in molecular evolution.
- Company: World-class bioinformatics centre at the European Bioinformatics Institute.
- Benefits: Generous salary, flexible working, private medical insurance, and 30 days annual leave.
- Other info: Dynamic campus life with extensive social activities and support for international applicants.
- Why this job: Make a real impact in evolutionary biology while collaborating with top scientists.
- Qualifications: PhD in computational biology with programming skills in Python and C++.
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
Scientist in Molecular Evolution 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 applicants from all backgrounds, ensuring a vibrant community that drives scientific excellence.
Contact Details:
European Bioninformatics Institute Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Scientist in Molecular Evolution in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the field, attend conferences, and join relevant online communities. You never know who might have a lead on your dream job or can introduce you to someone who does.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, publications, and any coding work you've done. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Practice your pitch! Be ready to explain your research and its impact in a clear and engaging way. Whether it's a casual chat or a formal interview, being able to communicate your ideas effectively is key.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining our team at EMBL-EBI. Don’t miss out on this opportunity!
We think you need these skills to ace Scientist in Molecular Evolution 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. We want to see your passion for molecular evolution and how you can contribute to Nick Goldman's research group.
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’re looking for specifics that relate to the job description, so make it count!
Show Off Your Research Experience:Since this role involves developing methodologies and participating in ongoing projects, be sure to detail your past research experiences. Include publications and any projects that demonstrate your expertise in statistical data analysis and programming.
Apply Through Our Website:We encourage you to apply through our online system for a smooth application process. It’s the best way to ensure your application gets into the right hands. Plus, it helps us keep track of all applicants efficiently!
How to prepare for a job interview at European Bioninformatics Institute
✨Know Your Research
Before the interview, dive deep into Nick Goldman's research group and their work. Familiarise yourself with their recent publications and projects. This will not only show your genuine interest but also help you discuss how your skills in computational biology can contribute to their ongoing research.
✨Showcase Your Skills
Be ready to discuss your experience in mathematical modelling, statistical data analysis, and programming in Python and C++. Prepare specific examples of past projects where you've successfully applied these skills. This will demonstrate your technical expertise and problem-solving abilities.
✨Prepare for Leadership Questions
Since the role involves management and supervision, think about your past leadership experiences. Be prepared to share examples of how you've led projects or mentored others. Highlight your communication skills and how you foster collaboration within a team.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the future direction of the group's research or how they approach grant applications. This shows your enthusiasm for the role and helps you gauge if it's the right fit for you.
