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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 a cutting-edge AgriTech start-up from Oxford University, transforming global agriculture.
- Benefits: Enjoy share options, private medical, and excellent career development opportunities.
- Why this job: Make a real-world impact on farming and climate resilience using innovative technologies.
- Qualifications: PhD in Bioinformatics or related field, with experience in NGS pipelines and Python.
- Other info: Sponsorship available for the right candidate.
The predicted salary is between 28800 - 48000 £ per year.
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 g…
Bioinformatician, non-model species, NGS pipelines, Python, Machine Learning, COR7292 employer: Corriculo Ltd
Contact Detail:
Corriculo Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatician, non-model species, NGS pipelines, Python, Machine Learning, COR7292
✨Tip Number 1
Familiarise yourself with the latest advancements in NGS pipelines, especially those tailored for non-model species. This knowledge will not only boost your confidence during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the AgriTech and bioinformatics fields. Attend relevant conferences or webinars to connect with industry experts, which can lead to valuable insights and potential referrals for the position.
✨Tip Number 3
Showcase your experience with Python and machine learning tools by working on personal projects or contributing to open-source initiatives. This practical experience can set you apart from other candidates and provide concrete examples to discuss in interviews.
✨Tip Number 4
Prepare to discuss how your work can directly impact agricultural practices and climate resilience. Understanding the company's mission and aligning your skills with their goals will make you a more compelling candidate.
We think you need these skills to ace Bioinformatician, non-model species, NGS pipelines, Python, Machine Learning, COR7292
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 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 experience with non-model species and data analysis.
Highlight Relevant Skills: In your application, emphasise your proficiency with tools like SciPy, Pytorch, NumPy, and Pandas. Provide examples of how you've used these libraries in previous projects or research.
Showcase Your Research Experience: If you have a PhD or relevant research experience, make sure to detail your academic achievements and any publications. This will demonstrate your expertise and commitment to the field of bioinformatics.
How to prepare for a job interview at Corriculo Ltd
✨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 libraries like SciPy, Pytorch, NumPy, and Pandas that you've used, as this will demonstrate your technical proficiency.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that assess your ability to tackle complex bioinformatics challenges. Prepare examples of how you've approached problems in the past, particularly in relation to non-model species or machine learning applications.
✨Understand the Company's Mission
Research the start-up's goals and innovations in AgriTech. Being able to articulate how your skills align with their mission to transform agriculture through data-driven insights will show your genuine interest in the role.
✨Prepare for Collaborative Scenarios
Since the role involves working with experimental biologists, be ready to discuss your experience in collaborative environments. Share examples of successful teamwork and how you’ve communicated complex data insights to non-technical colleagues.
