Business Analyst Remote (m/w/d)

Business Analyst Remote (m/w/d)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Quantori

At a Glance

  • Tasks: Define strategic benefits of digital transformation in life sciences and AI/ML.
  • Company: Leading biotech firm focused on innovation and collaboration.
  • Benefits: Competitive pay, flexible hours, remote work, and a tech-savvy team.
  • Other info: Opportunity for growth in a dynamic, supportive environment.
  • Why this job: Make a real impact by translating complex research into actionable business cases.
  • Qualifications: 5+ years in business analysis with a degree in life sciences or related fields.

The predicted salary is between 60000 - 80000 Β£ 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 β€” 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 β€” 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 Remote (m/w/d) employer: Quantori

As a leading player in the life sciences sector, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our remote working model offers flexibility, allowing you to balance your professional and personal life while being part of a team that values your expertise in computational biology and AI/ML. With competitive compensation and opportunities for professional growth, we empower our employees to make meaningful contributions to transformative projects that impact healthcare outcomes.

Quantori

Contact Details:

Quantori Recruitment Team

We think you need these skills to ace Business Analyst Remote (m/w/d)

Business Analysis
Strategic Benefits Definition
Computational Biology
Evidence Integration
AI/ML Capabilities
KPI Development
Benefit Measurement Methods