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- Tasks: Lead innovative research in multi-omics and systems biology for pet health.
- Company: Join Mars Petcare, a global leader in pet care research.
- Benefits: Competitive salary, bonuses, and top-notch learning opportunities.
- Why this job: Make a real difference in pet care with cutting-edge science.
- Qualifications: PhD in Computational Biology or related field with strong data analysis skills.
- Other info: Collaborative environment with diverse talent and career growth potential.
The predicted salary is between 60000 - 80000 £ per year.
Location: Waltham, Leicestershire. On-site role with occasional flexibility.
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.
Key Responsibilities:- 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.
- Translate multi-omics findings into impactful product and service innovation.
- Apply learning agility and problem-solving skills to tackle complex technical challenges.
- PhD in Computational Biology, Bioinformatics or a related quantitative field, plus relevant postdoctoral or industry experience.
- Strong track record in analysing, integrating and interpreting omics datasets.
- 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.
- Familiarity with workflow systems (Nextflow, Snakemake).
- Skilled in visualising and presenting large multi-omics datasets.
- Ability to communicate complex science to technical and non-technical audiences.
- Strong planning, influencing and leadership skills, especially in ambiguous or cross-functional settings.
- Work with diverse and talented Associates, all guided by the Five Principles.
- Join a purpose-driven company, where we're striving to build the world we want tomorrow, today.
- 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. To request reasonable adjustments, complete our Reasonable Adjustment Request Form here.
Senior Computational Biologist in Melton Mowbray employer: Mars
Contact Detail:
Mars Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Computational Biologist in Melton Mowbray
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of computational biology on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving multi-omics and systems biology. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex concepts clearly, so practice discussing your work with friends or family who aren’t in the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Computational Biologist in Melton Mowbray
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 and systems biology, and don’t forget to showcase your skills in data analysis and pipeline development. We want to see how your background aligns with our mission!
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 expertise can contribute to our research at Mars Petcare. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects: If you’ve worked on relevant projects, make sure to mention them! Whether it’s a specific analysis or a collaboration, we want to know how you’ve applied your skills in real-world scenarios. This helps us understand your hands-on experience and problem-solving abilities.
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, you’ll find all the details you need about the position and our company culture there!
How to prepare for a job interview at Mars
✨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 specific techniques or tools you've used. This will show that you're not just familiar with the theory but can also apply it practically.
✨Showcase Your Data Skills
Prepare to talk about your experience with data management and analysis methods. Highlight your proficiency in Python or R, and be ready to discuss any pipeline development you've done. If you have examples of visualising large datasets, bring those along to demonstrate your skills.
✨Communicate Clearly
Since you'll need to communicate complex science to both technical and non-technical audiences, practice explaining your work in simple terms. Think of a few key points you want to convey about your research and how it impacts pet health, so you can articulate them clearly during the interview.
✨Be a Problem Solver
Expect questions that assess your problem-solving abilities, especially in ambiguous situations. Prepare examples from your previous work where you tackled complex challenges, detailing your thought process and the outcomes. This will showcase your learning agility and leadership skills.