Negotiable
Undetermined
Remote
London Area, United Kingdom
Summary: The Senior Business Analyst role focuses on bridging AI, product, and commercial teams within the healthcare and life sciences sectors. This position requires transforming complex market data into actionable insights that drive revenue and margins. The analyst will engage with AI/ML teams and ensure analytical quality while supporting pilots and scaling efforts. Proficiency in multiple languages and significant experience in the healthcare domain are essential for success in this role.
Key Responsibilities:
- Translate real-world Pharma & MedTech commercial problems into structured analytical frameworks.
- Work with AI/ML teams to define features, training logic, validation criteria, and explainability requirements.
- Build and own ROI models, business cases, and value narratives used in sales, pilots, and board-level discussions.
- Act as the “truth teller” — challenge assumptions, surface edge cases, and prevent AI theatre.
- Support pilots and scale-outs by defining success metrics, acceptance criteria, and replication playbooks.
- Be accountable for analytical quality — if insights are wrong, confusing, or non-actionable, it’s on you.
Key Skills:
- 4–6+ years as a Business Analyst / Strategy Analyst in Healthcare, Life Sciences, MedTech, or Health AI.
- Deep experience with tenders, pricing, enterprise B2B applications.
- Exceptional structured thinking (MECE, first-principles, hypothesis-led analysis).
- Comfortable working with SQL, Python, or advanced Excel.
- Able to communicate with engineers, commercial leaders, and executives effectively.
- Preferred background as an ex-consultant with experience in AI or ML teams.
- Exposure to global markets and tender-heavy environments.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
1. Senior Business Analyst — Healthcare AI / Life Sciences
Role intent: This is not a reporting analyst. This person sits between AI, product, and commercial teams and turns messy tenders-RFx, pricing, and market data into decisions that move revenue and margins.
Job Description Title: Senior Business Analyst – Healthcare AI
Location: UK or Europe preferred | Remote-first (±2–3 hrs GMT overlap mandatory)
Reports to: Head of Engineering
Languages Known: Italian / French / Spanish / German / English (Must; Atleast 2 Languages)
Core responsibilities & objectives
- Translate real-world Pharma & MedTech commercial problems (tenders, pricing, LOE, market access) into structured analytical frameworks.
- Work with AI/ML teams to define features, training logic, validation criteria, and explainability requirements.
- Build and own ROI models, business cases, and value narratives used in sales, pilots, and board-level discussions.
- Act as the “truth teller” — challenge assumptions, surface edge cases, and prevent AI theatre.
- Support pilots and scale-outs by defining success metrics, acceptance criteria, and replication playbooks.
- Be accountable for analytical quality — if insights are wrong, confusing, or non-actionable, it’s on you.
Key qualifications & skills (non-negotiable)
- 4–6+ years as a Business Analyst / Strategy Analyst in Healthcare, Life Sciences, MedTech, or Health AI
- Deep experience with tenders, pricing, enterprise B2B applications.
- Exceptional structured thinking (MECE, first-principles, hypothesis-led analysis)
- Comfortable working with SQL, Python, or advanced Excel (you don’t code models, but you interrogate them).
- Able to communicate with: Engineers (precision). Commercial leaders (impact). Executives (clarity, confidence, no fluff).
Preferred background (strong signals)
- Ex-consultant who has actually shipped things (and not just made presentations).
- Experience working with AI or ML teams on production systems.
- Exposure to global markets (EU, US, APAC) and tender-heavy environments.
- Has been in rooms where €10–100M decisions were made.
What will get you rejected
- “Requirements gathering” mindset.
- Pretty dashboards with no decisions behind them.
- Fear of pushing back on senior stakeholders.