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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: Dynamic team environment with opportunities for growth and collaboration.
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 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 Biologist in Leicester
✨Tip Number 1
Network like a pro! Reach out to professionals in the pet care and computational biology fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about hidden job opportunities.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and being ready to discuss your past projects. We recommend practising common interview questions related to data science and systems biology, so you can showcase your expertise confidently.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, send a thank-you email to express your appreciation and reiterate your interest in the role. It’s a great way to keep yourself top of mind with the hiring team.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission to create a better world for pets.
We think you need these skills to ace Senior 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 of advancing pet health!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about pet care and how your background in computational biology makes you a perfect fit for our team. Don’t forget to mention any specific experiences that relate to the job description.
Showcase Your Technical Skills: We’re looking for someone with solid expertise in Python/R, GitHub, and CI/CD. 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 away!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Mars Petcare UK
✨Know Your Multi-Omics Inside Out
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 can also apply them effectively.
✨Showcase Your Data Skills
Prepare to talk about your experience with data management, analysis methods, and pipeline development using Python or R. Bring examples of how you've used GitHub and CI/CD in your work. This will demonstrate your technical expertise and ability to lead data-driven research.
✨Communicate Like a Pro
Practice explaining complex scientific concepts in simple terms. You might be asked to present your research to both technical and non-technical audiences, so being able to communicate clearly is key. Think of examples where you've successfully done this in the past.
✨Be Ready for Cross-Functional Collaboration
Since the role involves partnering with various stakeholders, prepare to discuss your experience working in cross-functional teams. Highlight your planning and influencing skills, especially in ambiguous situations. This will show that you can navigate complex environments and drive projects forward.