At a Glance
- Tasks: Define strategic benefits of digital transformation in life sciences and AI/ML.
- Company: Leading biotech firm focused on innovative digital solutions.
- Benefits: Competitive pay, flexible hours, remote work options, and a tech-savvy team.
- Other info: Opportunity to travel to the UK and collaborate with top experts.
- Why this job: Make a real impact by translating complex research into actionable business cases.
- Qualifications: 5+ years in business analysis or strategy within life sciences or AI/ML.
The predicted salary is between 60000 - 80000 £ per year.
You will define and quantify the strategic benefits of the In Silico digital transformation program, working across computational biology, evidence integration, and AI/ML capabilities. The role sits at the intersection of scientific understanding, commercial reasoning, and program governance — translating complex research improvements into investment-ready business cases and measurable outcomes that senior stakeholders can act on.
Responsibilities:
- Define benefit hypotheses for computational biology, evidence-integration, and AI/ML capabilities
- Develop KPIs and baselines covering time from data to insight, data-preparation effort, workflow reproducibility, data reuse, target confidence, evidence quality, target-prioritization lead time, and access to genetics, omics, clinical, and real-world evidence data
- Define benefit-measurement methods, data sources, and benefit owners
- Develop the quantified In Silico benefits case and prepare investment decision materials
- Build implementation roadmaps, manage dependencies, and support RAID management and program governance
- Prepare Gate and steering committee materials
- Combine scientific, technical, and commercial considerations into coherent recommendations for senior decision-makers
What we expect:
- 5+ years of experience in business analysis, strategy, or program delivery in life sciences, biotech, data, or AI/ML transformation environments
- A relevant degree in life sciences, computational biology, bioinformatics, or a related scientific discipline
- Experience in benefits modelling for data, analytics, AI, or R&D transformation programs — including quantified business cases, KPI definition, baseline setting, and benefit-measurement approaches
- Ability to assess and quantify improvements across productivity, lead time, quality, capacity, and decision confidence in a research or drug discovery context
- Experience developing implementation roadmaps, managing dependencies, and supporting RAID management, program governance, and Gate preparation
- Experience preparing investment decision materials for senior or executive audiences
- Proven ability to combine scientific, technical, and commercial considerations into a coherent recommendation
- Strong executive communication, analytical, and presentation skills
- Willingness to travel to the UK when required
We offer:
- Competitive compensation
- Remote or office work
- Flexible working hours
- A team with excellent tech expertise
Business Analyst — In Silico Strategic in Telford employer: Quantori
As a leading player in the life sciences sector, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through our flexible working hours and opportunities for remote or office work, allowing you to balance your professional and personal life while contributing to groundbreaking projects in computational biology and AI/ML. Join us to be part of a team that values scientific excellence and commercial acumen, where your contributions directly impact strategic decision-making and drive meaningful change.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst — In Silico Strategic in Telford
✨Get to Grips with Data Visualisation Tools
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✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Quantori!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
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We think you need these skills to ace Business Analyst — In Silico Strategic in Telford
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Quantori, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Quantori
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Quantori’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
