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- Tasks: Lead bioinformatics projects and collaborate with researchers to analyse biological data.
- Company: Join the innovative Generative Biology Institute at the Ellison Institute of Technology.
- Benefits: Enjoy enhanced holiday pay, private medical insurance, and a pension plan.
- Why this job: Make a real impact in advancing biology engineering and solving global challenges.
- Qualifications: Advanced degree in a data-oriented subject and expert-level programming skills in R and Python.
- Other info: Dynamic environment with opportunities for professional growth and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
Overview
The Ellison Institute of Technology (EIT) seeks to solve major global challenges through interdisciplinary science and technology. The Generative Biology Institute (GBI) at EIT aims to advance biology engineering, enabling precise genome synthesis and understanding DNA sequences that produce desired biological functions. GBI will host 30 groups and over 300 researchers, supported by cutting-edge facilities and sustained funding to address health, sustainability, agriculture, and related fields.
EIT fosters collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions.
Responsibilities
- Provide expert-level data analysis and interpretation for GBI researchers, from conceptualisation through manuscript preparation and submission
- Lead and contribute to collaborative analysis projects involving GBI researchers, staff, and external collaborators
- Develop and implement bioinformatics strategies, programs, and workflows that support GBI\’s experimental programmes (synthetic biology, genome design, molecular evolution)
- Collaborate with researchers and platform staff (e.g., sequencing, mass spectrometry, flow cytometry) to develop and refine computational pipelines for analysing biological data
- Ensure reproducibility, version control, and documentation for all analyses and pipelines, contributing to open science
- Organise and prioritise work to meet defined deadlines
- Ensure compliance with best practices in biological data handling and integrate data with laboratory and metadata
- Design and deliver high-quality training to GBI staff and researchers; mentor those working independently
- Support user engagement strategies, including user-group meetings, seminars, and chat systems
- Utilise strategic learning opportunities to maintain and develop expertise, contributing to group resilience
- Promote and champion EIT and GBI, representing the institute at functions and public events
Essential Knowledge, Skills, and Experience
- An advanced degree in a data-oriented subject (e.g., Bioinformatics, Medical Informatics, Molecular Biology, Biochemistry)
- Extensive experience delivering client-facing bioinformatics analyses with publications or equivalent evidence across multiple areas (RNA- and DNA-based bulk / single cell / spatial, long-read sequencing, DNA conformation and accessibility, image analysis, proteomics, metabolomics, protein structure, high-dimension cytometry)
- Practical experience or thorough understanding of working in a laboratory or scientific research setting; strong knowledge of data types, limitations, and challenges across experimental workflows and relevant molecular biology techniques
- Expert-level programming skills (R and Python)
- Extensive experience operating in HPC and/or Cloud environments (e.g., SLURM, OCI); strong UNIX familiarity
- Experience designing and implementing analysis pipelines (e.g., Nextflow, Snakemake), using software containers (Docker, Singularity/Apptainer)
- Demonstrable experience developing version-controlled code; familiarity with tools (git) and multi-user development practices
- Strong verbal and written communication and stakeholder engagement skills, with the ability to translate technical solutions into strategic value
Benefits
- Enhanced holiday pay
- Pension
- Life Assurance
- Income Protection
- Private Medical Insurance
- Hospital Cash Plan
- Therapy Services
- Perk Box
- Electrical Car Scheme
Terms of Appointment
- You must have the right to work permanently in the UK with a willingness to travel as necessary
- You will live in, or within easy commuting distance of, Oxford
- During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Science
Industries
- IT Services and IT Consulting
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Senior Bioinformatician - Generative Biology Institute employer: Ellison Institute of Technology Oxford
Contact Detail:
Ellison Institute of Technology Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Bioinformatician - Generative Biology Institute
✨Network Like a Pro
Get out there and connect with people in the bioinformatics field! Attend conferences, workshops, or even local meetups. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your programming skills and experience with data analysis. We want to see you confidently discuss your projects and how you've tackled challenges in previous roles.
✨Tailor Your Approach
Before any interview, do your homework on the Generative Biology Institute and its current projects. We recommend tailoring your responses to show how your expertise aligns with their goals. This will demonstrate your genuine interest and commitment to their mission.
✨Apply Through Our Website
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 take that extra step to engage with us directly.
We think you need these skills to ace Senior Bioinformatician - Generative Biology Institute
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Bioinformatician role. Highlight your relevant experience in bioinformatics, programming skills, and any publications you've contributed to. We want to see how your background aligns with what we're doing at the Generative Biology Institute!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about bioinformatics and how you can contribute to our mission at EIT. Be sure to mention specific projects or experiences that relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t forget to highlight your programming skills in R and Python, as well as your experience with HPC and Cloud environments. We love seeing candidates who can demonstrate their technical prowess, so include examples of analysis pipelines you've designed or tools you've used.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at the Generative Biology Institute!
How to prepare for a job interview at Ellison Institute of Technology Oxford
✨Know Your Bioinformatics Inside Out
Make sure you brush up on your bioinformatics knowledge, especially in areas like RNA and DNA sequencing. Be ready to discuss your past projects and how you've tackled challenges in data analysis. This will show that you're not just familiar with the theory but can apply it practically.
✨Showcase Your Programming Skills
Since expert-level programming skills in R and Python are essential, prepare to demonstrate your coding abilities. Bring examples of your work or even be ready for a live coding challenge. This will help you stand out as someone who can hit the ground running.
✨Collaboration is Key
The role involves working closely with researchers and staff, so highlight your teamwork experience. Share specific examples of successful collaborations and how you’ve contributed to group projects. This will illustrate your ability to thrive in a multidisciplinary environment.
✨Prepare for Practical Scenarios
Expect questions about real-world scenarios you might face in the role. Think about how you would design and implement bioinformatics strategies or handle data reproducibility. Practising these scenarios will help you articulate your thought process clearly during the interview.
