At a Glance
- 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, revolutionising 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; experience with NGS pipelines and Python required.
- 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
Network with professionals in the AgriTech and bioinformatics fields. Attend relevant conferences, webinars, or local meetups to connect with people who work in similar roles. This can help you gain insights into the industry and potentially lead to referrals.
✨Tip Number 2
Showcase your experience with NGS pipelines and non-model species through personal projects or contributions to open-source initiatives. Having a portfolio that demonstrates your skills in Python and machine learning can set you apart from other candidates.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of de novo transcriptome assembly and relevant machine learning techniques. Practising coding challenges in Python can also help you feel more confident during the interview process.
✨Tip Number 4
Research the company thoroughly, including their recent projects and innovations in genetic technologies. Being able to discuss how your skills align with their goals will demonstrate your genuine interest and enthusiasm for the role.
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.
Showcase Relevant Projects: If you've worked on projects involving de novo transcriptome assembly or genomic data mining, be sure to include these in your application. Detail your role and the impact of your contributions.
Highlight Collaboration Skills: Since the role involves working with experimental biologists, emphasise any collaborative experiences you have had in previous roles. This could include teamwork on research projects or interdisciplinary initiatives.
How to prepare for a job interview at Corriculo Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with NGS pipelines and Python in detail. Highlight specific projects where you've designed or optimised these pipelines, especially for non-model species, as this will demonstrate your relevant expertise.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that assess your analytical thinking and problem-solving skills. Prepare examples of how you've tackled challenges in bioinformatics, particularly those involving machine learning or data mining, to showcase your innovative approach.
✨Familiarise Yourself with the Company’s Mission
Research the start-up's goals and recent developments in AgriTech. Understanding their focus on climate-resilient crops and data-driven insights will allow you to align your answers with their mission during the interview.
✨Prepare Questions for Your Interviewers
Have insightful questions ready about the team dynamics, ongoing projects, and future directions of the company. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.