At a Glance
- Tasks: Lead innovative projects in computational biology and develop cutting-edge metabolic models.
- Company: Join Syngenta's global R&D hub at the University of Liverpool.
- Benefits: Competitive salary, full-time role, and opportunities for impactful research.
- Other info: Diverse and inclusive workplace encouraging applicants from all backgrounds.
- Why this job: Make a real difference in global food security through advanced technology.
- Qualifications: PhD in Computational Biology or related field, with Python skills.
The predicted salary is between 63000 - 77000 £ per year.
Computational Biologist – Metabolic Modelling & Deep Learning KTP Associate Biochemistry, Cell and Systems Biology113893£45,000 - £48,000 pa13-Aug-2026 23:30Hours of work: Full-time
Tenure: Fixed term for 2 years The University of Liverpool and Syngenta Limited have established a Knowledge Transfer Partnership (KTP) to recruit a specialized Computational Biologist to join Syngenta’s global R&D hub in Jealott’s Hill.
This project aims to revolutionize crop protection discovery by implementing a “biology-first” approach to pathogen analysis, focusing on the development of novel methods for constructing genome-scale metabolic maps of commercially relevant pathogens.
You will lead the preparation and publication of high-impact scientific papers while embedding these workflows into Syngenta’s target identification framework.
The role involves developing a species-agnostic computational pipeline that integrates cutting-edge deep learning methods—such as Alpha Fold2 and Fold Seek—to enhance protein function prediction and estimate kinetic parameters for enzyme-constrained models.
By processing proprietary multi-omics data, you will initially focus on determining metabolic vulnerabilities in Zymoseptoria tritici before expanding the methodology to other species to support global food security.
You should have a Ph D in Computational Biology, Bioinformatics, or a related quantitative field, with proficiency in Python and a strong foundation in genome-scale metabolic modelling.
Our commitment to Equality, Diversity and Inclusion We are committed to enhancing a workforce as diverse as our community and particularly encourage applicants who are of minoritised genders and ethnic backgrounds, living with a disability, and/or are members of the LGBTQIA+ community.
Computational Biologist – Metabolic Modelling & Deep Learning KTP Associate in Liverpool employer: University of Liverpool
The University of Liverpool is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration among its staff. With a strong commitment to employee development, you will have access to numerous growth opportunities while contributing to impactful campus projects in a vibrant academic setting. Enjoy the unique advantage of working within a prestigious institution that values your expertise and encourages a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Computational Biologist – Metabolic Modelling & Deep Learning KTP Associate in Liverpool
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
✨Leverage University Alumni Networks
If you're a recent grad, don’t underestimate the power of your university’s alumni network! Reach out to alumni working in biotechnology to gather tips about job openings at companies like University of Liverpool. You'd be surprised how willing people are to help out a fellow grad!
✨Show Off Your Projects
Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
✨Stay Up-to-Date with Industry Trends
Biotech is a fast-paced field, so keeping yourself updated with the latest advancements is crucial. Attend industry conferences, webinars, or workshops to broaden your knowledge and meet potential employers. Plus, it’ll give you fantastic talking points for your interviews at places like University of Liverpool!
We think you need these skills to ace Computational Biologist – Metabolic Modelling & Deep Learning KTP Associate in Liverpool
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show University of Liverpool that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at University of Liverpool.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that University of Liverpool does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at University of Liverpool
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at University of Liverpool. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into University of Liverpool's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at University of Liverpool. This shows your passion for the industry!
