Corriculo Recruitment provided pay range
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Base pay range
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
* 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.
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Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Science
* Industries
Agricultural Chemical Manufacturing
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