Crop Transformation Scientist at Biographica

Job Title

Crop Transformation Scientist

Salary

Not Disclosed

Company Description

Biographica is a £7M seed-funded plant biotechnology company based in the UK, using machine learning to identify and validate causal gene targets for improved crop traits.

Job Description

Lead the development and application of advanced crop transformation and genome editing methods. You will bridge the gap between machine learning predictions and biological reality by validating gene targets in planta. This hands on wet lab role is essential for delivering the biological assets that power the next generation of agriculture.

Location

Harpenden, UK

Why this role is remarkable

• Work at the cutting edge of agriculture by validating high-confidence gene targets generated by Biographica's proprietary, interpretable machine learning models.
• Join a growing team of 17 experts recently backed by a £7M seed round and partnered with industry giants like BASF Nunhems.
• Take full ownership of the wet lab transformation pipeline, transitioning computational insights into tangible biological assets with real world impact on global food security.

What You Will Do

• Design and execute complex experiments for gene target validation in planta across Biographica's diverse crop portfolio.
• Establish and optimize genetic transformation and genome editing methodologies, including both tissue culture-based and tissue culture-free approaches.
• Conduct high throughput molecular genotyping and assemble DNA constructs to ensure rapid and accurate validation of edited lines.

The ideal candidate

• Holds a PhD or BSc in Plant Biology or Biotechnology with extensive hands on experience in crop tissue culture and genetic transformation.
• Demonstrates high proficiency in DNA vector design and molecular cloning, along with experience in high throughput molecular analysis of transgenic plants.
• Possesses the communication skills to translate experimental findings for a multidisciplinary team of machine learning engineers and bioinformaticians.