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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 health and nutrition research.
- Benefits: Enjoy competitive salary, bonuses, and top-notch learning opportunities.
- Why this job: Make a real difference in pet care while advancing your scientific career.
- Qualifications: PhD in Computational Biology or related field with relevant experience.
- Other info: Collaborative environment with strong support for personal and professional growth.
The predicted salary is between 50000 - 70000 £ 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.
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.
Biologist I in Leicester employer: Mars Petcare UK
Contact Detail:
Mars Petcare UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Biologist I in Leicester
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of computational biology, especially those connected to Mars Petcare. Attend industry events or webinars and don’t be shy about introducing yourself – you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving multi-omics and systems biology. This is your chance to demonstrate your expertise in Python/R and data analysis methods, so make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex scientific concepts clearly to both technical and non-technical audiences. Practice with friends or mentors to get comfortable with this – it can really set you apart!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on our careers page for new opportunities that match your skills and interests – we’re always looking for passionate individuals to join our team!
We think you need these skills to ace Biologist I in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Biologist I role. Highlight your relevant experience in computational biology and any specific projects that align with the job description. We want to see how your skills can contribute to our mission of a better world for pets!
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 multi-omics and systems biology makes you a great fit for our team. Let us know what excites you about working at Mars Petcare.
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise, especially in Python/R and data management. We’re looking for someone who can champion data-driven research, so make sure we see your experience with pipeline development and machine learning clearly!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
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 relevant experience with biological network databases. This will show that you understand the core of what the role entails.
✨Showcase Your Technical Skills
Prepare to demonstrate your expertise in Python or R, especially in pipeline development. Bring examples of your work or projects where you've used GitHub and CI/CD practices. This will help illustrate your technical capabilities and how they align with the job requirements.
✨Communicate Clearly
Practice explaining complex scientific concepts in simple terms. You might be asked to communicate your research to both technical and non-technical audiences, so being able to convey your ideas clearly is crucial. Think of examples where you've successfully done this in the past.
✨Be a Team Player
Since the role involves partnering with various stakeholders, be prepared to discuss your experience working in cross-functional teams. Highlight instances where you've influenced decisions or led projects, especially in ambiguous situations. This will demonstrate your leadership skills and ability to collaborate effectively.