At a Glance
- Tasks: Develop innovative computational methods for genomic sequencing and collaborate on impactful projects.
- Company: Join the Ellison Institute of Technology, a leader in sustainable solutions.
- Benefits: Enjoy enhanced holiday pay, private medical insurance, and a supportive work environment.
- Other info: Collaborative culture that values creativity, curiosity, and excellence.
- Why this job: Make a real difference in global health through cutting-edge genomics research.
- Qualifications: PhD or equivalent experience in bioinformatics or related fields; strong programming skills required.
The predicted salary is between 36000 - 60000 € per year.
At the Ellison Institute of Technology (EIT) Oxford, we are driven by a world‐class faculty of scientists, technologists, policy makers, economists and entrepreneurs, building sustainable solutions to humanity's most enduring challenges. Our Pathogen Mission uses Whole Genome Sequencing (WGS) and cloud technology to create a global pathogen metagenomics system, improving diagnostics, early epidemic warnings, and antimicrobial resistance profiling.
We are seeking a highly skilled and collaborative Senior or Non Senior Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis, especially genome assembly. This role focuses on novel computational approaches for microbial data – integral to our diagnostic products.
Key Responsibilities- Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing.
- Collaborate with scientists across EIT to apply the latest developments in AI/ML to real‐world challenges in the pathogen space.
- Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows.
- Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organization.
- Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet‐lab teams.
- PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related field.
- Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next‐generation sequencing data. Non‐Senior: Hands‐on experience developing computational methods for next‐generation sequencing data.
- Significant experience with methods for efficient storage, search and assembly of DNA sequences (e.g., hashing, Burrows‐Wheeler transform, De Bruijn graphs, embeddings and tokenization) and pangenomes.
- Proficiency in command‐line interfaces, low and high‐level programming languages (e.g., Python, Rust) and modern software development techniques (version control, CI/CD).
- Track record of scientific output and engagement with the computational genomics community.
- Experience working with microbial genomes and shotgun metagenomics data.
- Experience working with long‐read sequencing data (ONT).
- Experience with bioinformatics workflow frameworks (e.g., Nextflow) and cloud compute environments (e.g., OCI, AWS, GCP).
- Familiarity with Bayesian methods, machine learning or causal inference in the context of biological data.
- Contributions to open‐source bioinformatics software.
- Previous experience mentoring or line‐managing scientists (for Senior).
- Strategic thinker with the ability to translate scientific insights into practical solutions.
- Effective communicator and enthusiastic knowledge sharer across disciplines.
- Rigorous and detail‐oriented with a commitment to reproducibility and benchmarking.
- Comfortable in a fast‐paced, interdisciplinary environment and able to adapt to evolving priorities.
- Collaborative ethos with the ability to work across teams and domains.
- Enhanced holiday pay
- Pension
- Life Assurance
- Income Protection
- Private Medical Insurance
- Hospital Cash Plan
- Therapy Services
- Perk Box
- Electrical Car Scheme
At EIT, we believe a collaborative, inclusive team is key to our success. We build a supportive environment where creative risks are encouraged and everyone feels heard. Valuing emotional intelligence, empathy, respect and resilience, we encourage curiosity and a shared commitment to excellence. Join us and make an impact!
Terms of Appointment- Must have the right to work permanently in the UK with a willingness to travel as necessary.
- Will live in, or within easy commuting distance of, Oxford.
- During peak periods some longer hours and cross‐time‐zone work may be required due to the global nature of the programme.
Employment type: Full‐time
Job function: Science
Industries: IT Services and IT Consulting
(Senior) Computational Genomics Scientist - Pathogen in Oxford employer: Ellison Institute of Technology Oxford
At the Ellison Institute of Technology in Oxford, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to innovate and excel. With a strong focus on professional development and a commitment to tackling global challenges through cutting-edge research, we offer a range of benefits including enhanced holiday pay, private medical insurance, and opportunities for mentorship. Join us to be part of a dynamic team where your contributions will make a meaningful impact in the field of computational genomics.
Contact Detail:
Ellison Institute of Technology Oxford Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land (Senior) Computational Genomics Scientist - Pathogen in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the computational genomics field on LinkedIn or at conferences. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving genome assembly and metagenomics. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with AI/ML applications in genomics and how you’ve tackled real-world challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace (Senior) Computational Genomics Scientist - Pathogen in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of a Computational Genomics Scientist. Highlight your experience with genomic sequencing data and any relevant computational methods you've developed. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about pathogen research and how your background makes you a great fit for our team. Don’t forget to mention any collaborative projects you've been part of!
Showcase Your Technical Skills:Be sure to highlight your proficiency in programming languages like Python or Rust, and any experience with bioinformatics tools. We love seeing candidates who can communicate complex technical concepts clearly, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at EIT!
How to prepare for a job interview at Ellison Institute of Technology Oxford
✨Know Your Genomics Inside Out
Make sure you brush up on the latest computational methods and algorithms for genomic sequencing data analysis. Be ready to discuss your experience with genome assembly, binning, and functional characterisation of genomes, as these are key areas for the role.
✨Showcase Your Collaboration Skills
Since this position involves working closely with scientists and bioinformaticians, prepare examples that highlight your collaborative projects. Think about how you've applied AI/ML in real-world scenarios and be ready to share those experiences.
✨Demonstrate Your Technical Proficiency
Familiarise yourself with the programming languages and tools mentioned in the job description, like Python and Rust. Be prepared to discuss your experience with version control, CI/CD, and any bioinformatics workflow frameworks you've used, such as Nextflow.
✨Communicate Clearly and Effectively
Practice explaining complex technical concepts in simple terms. This role requires you to communicate with a broad audience, so think about how you can convey your ideas clearly and engage with interdisciplinary colleagues.
