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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 ÂŁ 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 PETSTM.
As part of the Multi-omics & Systems Biology team, the Senior Computational Biologist will lead research that applies multiâomics 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 multiâomics analyses.
- Partner with stakeholders across Mars Petcare to define highâvalue data science opportunities.
- Champion dataâdriven 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 inâhouse, through collaborations, and across Mars Veterinary Health.
- Combine public datasets with proprietary knowledge to maximise scientific insights.
- Translate multiâomics findings into impactful product and service innovation.
- Apply learning agility and problemâsolving 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 multiâomics datasets.
- Ability to communicate complex science to technical and nonâtechnical audiences.
- Strong planning, influencing and leadership skills, especially in ambiguous or crossâfunctional 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 employer: Mars Petcare UK
Contact Detail:
Mars Petcare UK Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Computational Biologist
â¨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 arenât even advertised yet.
â¨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.
â¨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Youâll need to explain complex concepts clearly, so practice explaining your work to friends or family who arenât in the field.
â¨Tip Number 4
Donât forget to apply through our website! Itâs 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
Some tips for your application đŤĄ
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 donât 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 youâre passionate about pet health and how your expertise can contribute to our goals at Mars Petcare. Keep it engaging and personal â we love to see your personality come through!
Showcase Your Projects: If youâve worked on relevant projects, make sure to mention them! Whether itâs a research paper or a cool data analysis project, we want to see how youâve applied your skills in real-world scenarios. Include links if possible â weâre all about that hands-on experience!
Apply Through Our Website: Donât forget to apply through our website! Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it gives you a chance to explore more about what we do at Mars Petcare!
How to prepare for a job interview at Mars Petcare UK
â¨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 theory but can also apply it practically.
â¨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 discuss how you've developed pipelines or used workflow systems like Nextflow or Snakemake. This will highlight your technical skills and problem-solving abilities.
â¨Communicate Complex Ideas Simply
Practice explaining complex scientific concepts in a way that's easy to understand for both technical and non-technical audiences. This is crucial, as you'll need to partner with various stakeholders. Use clear examples from your experience to illustrate your points during the interview.
â¨Prepare Questions for Them
Think of insightful questions to ask about the role and the team at Mars Petcare. This shows your genuine interest in the position and helps you assess if it's the right fit for you. Ask about their current projects, challenges they face, or how they envision the future of pet health research.