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- Tasks: Join our R&D team to design NGS pipelines for non-model species and analyse large datasets.
- Company: We're an innovative AgriTech start-up from Oxford University, transforming agriculture with genetic technologies.
- Benefits: Enjoy share options, private medical, and excellent career development opportunities.
- Why this job: Make a real-world impact on farming and climate resilience while using cutting-edge tech like AI.
- Qualifications: PhD in Bioinformatics or related field, experience with NGS pipelines, Python, and machine learning preferred.
- Other info: Sponsorship available for the right candidate.
The predicted salary is between 30000 - 50000 £ per year.
Job Description
Bioinformatician, non-model species, NGS pipelines, Python, Machine Learning, COR7292
My client, a cutting-edge start-up within the AgriTech space, is seeking a Bioinformatician with experience in designing and developing NGS pipelines for the analysis of non-model species to join their growing R&D team. This is an exceptional opportunity to work on breakthrough innovations that aim to transform global agriculture through data-driven insight.
As the Bioinformatician you’ll play a critical role in building and optimising next-generation sequencing (NGS) pipelines for diverse, non-model plant species. You'll curate and mine large datasets to identify key traits that can drive the development of high-performing, climate-resilient crops. You’ll also have the opportunity to apply cutting-edge tools such as machine learning and AI and work collaboratively with experimental biologists to turn genomic insights into real-world agricultural impact.
The Company
This dynamic and well-funded Oxford University spin-out is developing pioneering genetic technologies that tap into nature’s wild innovations to strengthen the world’s key crops. With significant backing and an ambitious roadmap, this team is set to make a global impact on farming, food security, and climate resilience.
- BenefitsShare options
- Private Medical
- Excellent opportunities for career development
- Sponsorship available
- What’s required of the Plant Scientist?A PhD in Bioinformaticians, Genomics, Plant Science, or a related field, with relevant academic or industry experience
- Experience designing and developing NGS pipelines for the analysis of non-model species, if this has been within plants even better
- Ideally experience with de novo transcriptome assembly, Machine Learning and/or Artificial Intelligence, or experience mining genomic data
- Experience with Python and libraries such as SciPy, Pytorch, NumPy, Pandas etc.
What Next?
If you’d like to hear more about this exciting Bioinformatician position, just give me a call or drop me an email, I’d love to chat! If you’re ready to apply, please submit your CV today.
Bioinformatician, non-model species, NGS pipelines, Python, Machine Learning
Corriculo Ltd acts as an employment agency and an employment business. #INDSCI, #ChannelC, #MR
Bioinformatician employer: Corriculo Recruitment
Contact Detail:
Corriculo Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatician
✨Tip Number 1
Familiarise yourself with the latest advancements in NGS pipelines and machine learning applications in bioinformatics. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the AgriTech and bioinformatics sectors. Attend relevant conferences or webinars, and connect with people on platforms like LinkedIn to gain insights and potentially get referrals for the position.
✨Tip Number 3
Showcase any personal projects or contributions to open-source bioinformatics tools that utilise Python and machine learning. This practical experience can set you apart from other candidates and highlight your hands-on skills.
✨Tip Number 4
Prepare to discuss how your previous experiences align with the company's mission of transforming agriculture through data-driven insights. Tailor your conversation to reflect your passion for climate-resilient crops and innovative genetic technologies.
We think you need these skills to ace Bioinformatician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with NGS pipelines, Python, and machine learning. Use specific examples from your past work or academic projects that demonstrate your skills in these areas.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are passionate about bioinformatics and how your background aligns with the company's mission to transform agriculture. Mention any relevant projects or experiences that showcase your expertise in non-model species.
Highlight Relevant Skills: In your application, emphasise your proficiency with tools like SciPy, Pytorch, NumPy, and Pandas. Provide concrete examples of how you've used these libraries in your previous work to solve problems or enhance research outcomes.
Showcase Collaborative Experience: Since the role involves working with experimental biologists, include any collaborative projects you've been part of. Describe your role in these projects and how you contributed to turning genomic insights into practical applications.
How to prepare for a job interview at Corriculo Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with NGS pipelines and how you've applied Python in your previous projects. Highlight specific examples where you've used libraries like SciPy or Pandas to solve complex problems.
✨Demonstrate Your Knowledge of Non-Model Species
Since the role focuses on non-model species, make sure to research and understand the unique challenges associated with them. Be ready to discuss any relevant experience you have in this area and how it can contribute to the company's goals.
✨Prepare for Machine Learning Questions
Given the emphasis on machine learning and AI, brush up on your knowledge of these concepts. Be ready to explain how you've implemented machine learning techniques in bioinformatics and the impact it had on your projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and future directions. This shows your genuine interest in their work and helps you assess if the company aligns with your career aspirations.
