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- Tasks: Lead innovative research in pet health using multi-omics and systems biology.
- Company: Join Mars Petcare, a leader in pet care science and innovation.
- Benefits: Competitive salary, bonus, and access to top-notch learning resources.
- Why this job: Make a real difference in pet health while advancing your career.
- Qualifications: PhD in Computational Biology or related field with relevant experience.
- Other info: Collaborative environment with opportunities for growth and impact.
The predicted salary is between 60000 - 80000 £ per year.
The WALTHAM Petcare Science Institute is Mars Petcare’s global research centre, advancing the health, nutrition and behaviour of pets. Our science underpins innovative products and services that help deliver our Purpose: A BETTER WORLD FOR PETS™.
As part of the Multi-omics & Systems Biology team, the Senior Computational Biologist will lead research that applies multi‑omics and systems biology to deepen understanding of pet health, identify new biomarkers, and support translational science for improved pet care.
- Lead the design, execution and delivery of systems biology projects, including integrated multi‑omics analyses.
- Partner with stakeholders across Mars Petcare to define high‑value data science opportunities.
- Champion data‑driven research and uphold high scientific standards.
- Share expertise in data management, analysis methods and best practices.
- Act as a subject matter expert in omics data integration and systems biology across the research portfolio.
- Work with data generated in‑house, through collaborations, and across Mars Veterinary Health.
- Combine public datasets with proprietary knowledge to maximise scientific insights.
Qualifications:
- PhD in Computational Biology, Bioinformatics or a related quantitative field, plus relevant postdoctoral or industry experience.
- Experience with biological network and pathway databases.
- Solid grounding in statistics, data mining and machine learning for omics.
- Expertise in pipeline development (Python/R), GitHub and CI/CD.
- Ability to communicate complex science to technical and non‑technical audiences.
- Strong planning, influencing and leadership skills, especially in ambiguous or cross‑functional settings.
Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry-competitive salary and benefits package, including a company bonus. Mars is committed to providing access, equal opportunity, and reasonable adjustments for individuals with disabilities, long-term health conditions, or who are neurodiverse during the application and recruitment process.
Senior Computer Biologist in Leicester employer: Mars Petcare UK
Contact Detail:
Mars Petcare UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Computer Biologist in Leicester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Mars Petcare. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your experience with multi-omics and systems biology. This is your chance to shine and demonstrate how you can contribute to pet health research.
✨Tip Number 3
Practice your pitch! Be ready to explain complex concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical audiences, so make sure you can adapt your message.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at Mars Petcare.
We think you need these skills to ace Senior Computer Biologist in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Computational Biologist role. Highlight your experience with multi-omics, systems biology, and any relevant projects you've led. We want to see how your skills align with our mission at Mars Petcare!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about pet health and how your background in computational biology makes you a perfect fit for our team. Don’t forget to mention your experience with data management and analysis methods.
Showcase Your Technical Skills: We’re looking for someone with solid expertise in Python/R and GitHub. Make sure to include specific examples of how you've used these tools in your previous work. This will help us see your technical prowess right off the bat!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values at Mars Petcare.
How to prepare for a job interview at Mars Petcare UK
✨Know Your Multi-Omics
Make sure you brush up on your knowledge of multi-omics and systems biology. Be ready to discuss how you've applied these concepts in past projects, as well as any innovative ideas you have for future research. This will show that you're not just familiar with the terms, but that you can actually lead projects in this area.
✨Showcase Your Data Skills
Prepare to demonstrate your expertise in data management and analysis methods. Bring examples of your work with Python or R, and be ready to talk about how you've used GitHub and CI/CD in your previous roles. This is a great opportunity to highlight your technical skills and how they can benefit the team.
✨Communicate Clearly
Since you'll need to explain complex scientific concepts to both technical and non-technical audiences, practice simplifying your explanations. Think of ways to convey your ideas clearly and concisely, perhaps using analogies or visuals. This will help you stand out as a strong communicator.
✨Be a Team Player
Mars Petcare values collaboration, so be prepared to discuss how you've partnered with stakeholders in the past. Share examples of how you've influenced decisions or led cross-functional teams, especially in ambiguous situations. This will demonstrate your leadership skills and ability to work well with others.