At a Glance
- Tasks: Evaluate cutting-edge scientific platforms and collaborate with experts in computational biology and AI/ML.
- Company: Join a forward-thinking team in the life sciences and biotech industry.
- Benefits: Enjoy competitive pay, remote work, and flexible hours.
- Other info: Work in a dynamic environment with a team of tech experts.
- Why this job: Make a real impact by recommending innovative tech solutions for digital transformation.
- Qualifications: 5+ years in business or product analysis with a scientific background.
The predicted salary is between 60000 - 80000 £ per year.
This role focuses on evaluating scientific platforms and technology solutions that support computational biology, bioinformatics, AI/ML, and research data workflows. You'll collaborate with scientists, architects, vendors, and technical teams to assess tools, define evaluation criteria, and recommend the best-fit solutions for digital transformation initiatives.
Responsibilities:
- Gather and analyze business and technical requirements for platform selection
- Define evaluation criteria and support RFI/RFP processes
- Conduct market analysis across computational biology and bioinformatics platforms, research data platforms and cloud analytics, and AI/ML platforms and model governance tooling
- Facilitate vendor demos, technical discussions, and proof-of-concept activities
- Perform fit-gap, build-vs-buy, and integration analyses
- Prepare structured recommendations and executive-ready decision materials
What we expect:
- 5+ years of Business Analysis or Product Analysis experience in life sciences, biotech, or data-intensive environments
- Scientific background in life sciences, computational biology, bioinformatics, genetics, or a related scientific discipline
- Experience evaluating scientific platforms, vendors, or technology solutions
- Understanding of system integrations, APIs, data flows, and platform architecture
- Experience with RFP/RFI processes, vendor evaluations, and fit-gap analysis
- Excellent stakeholder management, communication skills, and English proficiency
- Willingness to travel to the UK when required
Nice to have:
- Experience with platforms such as Databricks, Genestack, PlutoBio, or similar
- Exposure to AI/ML, knowledge management, research data platforms, or FAIR data principles
We offer:
- Competitive compensation
- Remote work
- Flexible working hours
- A team with excellent tech expertise
Scientific Business Analyst – In Silico Product & Vendor Evaluation in Bristol employer: Quantori
As a leading employer in the life sciences sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With competitive compensation, flexible working hours, and opportunities for professional growth, our team is dedicated to advancing digital transformation initiatives in computational biology and bioinformatics. Join us to be part of a dynamic environment where your contributions directly impact scientific advancements and technology solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Scientific Business Analyst – In Silico Product & Vendor Evaluation in Bristol
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We think you need these skills to ace Scientific Business Analyst – In Silico Product & Vendor Evaluation in Bristol
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Quantori. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Quantori
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
