At a Glance
- Tasks: Design and optimise bioinformatics pipelines to transform large-scale biological data.
- Company: Join a cutting-edge organisation focused on advancing bioinformatics and AI.
- Benefits: Enjoy enhanced holiday pay, private medical insurance, and an electric car scheme.
- Other info: Dynamic start-up environment with opportunities for autonomy and growth.
- Why this job: Make a real impact in the field of bioinformatics and machine learning.
- Qualifications: PhD or equivalent experience in bioinformatics or related fields required.
The predicted salary is between 50000 - 70000 € per year.
We’re looking for a Bioinformatician who will apply their strong expertise in bioinformatics and software engineering to advance EIT's programmes.
Responsibilities
- Design, implement, and optimize state-of-the-art bioinformatics pipelines.
- Transform and enrich large-scale biological data for training AI models, including assembly, quality control, phylogeny, and annotations.
- Design biologically relevant tasks for training ML models and build corresponding evaluation datasets and metrics.
- Design protocols for experimental model validation in collaboration with internal and external partners.
- Collaborate effectively within a multi-disciplinary team and work closely with subject matter experts to incorporate domain expertise and user needs.
- Build robust, scalable, and re‑usable pipelines, maintaining high standards of code quality and transparency.
- Communicate the design, function, performance, and output of bioinformatics pipelines to internal and external stakeholders.
Qualifications
- PhD or equivalent experience in Bioinformatics, Computational Biology, Microbiology, Genetic Epidemiology, Genomics or a related discipline.
- Extensive experience as a Bioinformatician, including proven success in implementing state-of-the-art approaches on real‑world problems, e.g., genome assembly, alignment, phylogeny, molecular evolution, genome annotation, and gene enrichment analysis.
- Hands‑on experience analysing genomics, (spatial‑)transcriptomics, proteomics data.
- Experience working with large datasets and building robust, scalable pipelines to transform them.
- Hands‑on experience building machine learning models using bioinformatics approaches (e.g., kmers) and keen interest in machine learning.
- Proficiency in Python and adherence to best‑practice coding practices.
- Experience with containerization, workflow management tools, and parameter management.
- Excellent communication skills, including the ability to convey technical concepts to audiences of varied backgrounds.
Preferred Qualifications
- Proven ability to work in fast‑paced, dynamic environments like start‑ups, taking on multiple roles with high autonomy.
- Experience in machine learning and tackling biological and molecular discovery challenges.
- Experience with Kubernetes, cloud platforms or HPC environments (e.g., Slurm).
- Familiarity with both long‑ and short‑read technologies (e.g., ONT, Illumina).
Benefits
- Enhanced holiday pay
- Pension
- Life Assurance
- Income Protection
- Private Medical Insurance
- Hospital Cash Plan
- Therapy Services
- Perk Box
- Electric Car Scheme
Bioinformatician in Oxford employer: The Ellison Institute Of Technology (eit)
EIT is an exceptional employer for Bioinformaticians, offering a dynamic work environment that fosters innovation and collaboration within a multi-disciplinary team. With a strong commitment to employee growth, EIT provides extensive benefits including enhanced holiday pay, private medical insurance, and opportunities to work on cutting-edge bioinformatics projects that directly impact real-world biological challenges. Located in a vibrant area, the company promotes a culture of transparency and excellence, making it an ideal place for professionals seeking meaningful and rewarding careers.
Contact Detail:
The Ellison Institute Of Technology (eit) Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Bioinformatician in Oxford
✨Tip Number 1
Network like a pro! Reach out to fellow bioinformaticians and industry professionals on LinkedIn or at conferences. We can’t stress enough how personal connections can lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your bioinformatics projects, especially those involving machine learning and large datasets. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We recommend practising common bioinformatics interview questions and being ready to discuss your past projects in detail. Confidence is key!
✨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 Bioinformatician in Oxford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Bioinformatician role. Highlight your experience with bioinformatics pipelines, machine learning, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
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 your background makes you a great fit for our team. Don't forget to mention any specific experiences that relate to the job description.
Showcase Your Technical Skills:We love seeing technical skills in action! If you've worked with Python, containerization, or large datasets, make sure to include examples of your work. This will help us understand your hands-on experience and coding practices.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it's super easy!
How to prepare for a job interview at The Ellison Institute Of Technology (eit)
✨Know Your Bioinformatics Inside Out
Make sure you brush up on your bioinformatics knowledge, especially the latest techniques in genome assembly and machine learning applications. Be ready to discuss specific projects you've worked on and how you tackled real-world problems using your skills.
✨Showcase Your Coding Skills
Since proficiency in Python is a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your coding practices. Bring examples of your work that highlight your adherence to best practices in coding.
✨Communicate Clearly and Effectively
You’ll need to convey complex technical concepts to various stakeholders. Practice explaining your past projects in simple terms, focusing on the impact and results. This will show your ability to collaborate within a multi-disciplinary team.
✨Prepare for Scenario-Based Questions
Expect questions that assess how you would handle specific challenges in bioinformatics. Think about scenarios involving large datasets or pipeline optimisation, and be ready to discuss your thought process and decision-making strategies.
