Location: Canary Wharf, London, office based
Working Pattern: Part time 20 hours per week or full time, includes weekends and weekdays
About Sanius Health
Sanius Health is a leading real world evidence and patient generated data platform operating across healthcare and life sciences, with a focus on rare and underserved conditions. The platform integrates hospital pathways, genomic insights and longitudinal disease management into a predictive infrastructure that supports advanced therapies, care coordination and decision grade clinical insight.
Through its disease registries across rare disease and oncology, Sanius Health enables clinical trial recruitment, regulatory validation and reimbursement pathways, connecting healthcare providers, researchers and life sciences organisations through established research partnerships.
Sanius is deeply embedded across care delivery, including integration with one of the largest primary care provider footprints in the United Kingdom, supporting patient management, pathway redesign and improved outcomes at scale.
The Opportunity
We are looking for a high calibre Data Analyst to support our growing portfolio of healthcare and life sciences programmes. This role sits at the core of how we generate insight, drive decisions and deliver value to partners.
You will work across complex datasets, translating data into actionable insight and supporting both operational delivery and strategic decision making.
Key Responsibilities
- Analyse and interpret datasets across healthcare and life sciences programmes
- Build and maintain structured datasets to support reporting and analysis
- Develop dashboards, models and outputs to support internal and external stakeholders
- Work closely with operational and clinical teams to understand data requirements
- Translate data into clear, structured outputs and insights
- Support reporting across programmes including performance and outcomes tracking
- Ensure data quality, consistency and integrity across all outputs
- Support weekend and weekday operations where required
What We Are Looking For
- A degree in a quantitative or analytical field
- Strong Excel skills, this is essential
- Experience with Python and or SQL
- Ability to work with large and complex datasets
- Strong analytical thinking and problem solving skills
- Ability to translate data into clear and actionable insight
- High attention to detail and accuracy
- Ability to work independently and as part of a team
Working Style
- Canary Wharf, London based role, fully office based
- This role requires in person collaboration with operational and data teams
- Remote or home working is not available for this position
- Part time or full time with weekend and weekday coverage
- Fast paced, high expectation environment
Early Builder Package – Sanius Health
Ownership and Reward
- Equity: Early stage stock options (£7,000 indicative allocation for full time roles, prorated for part time based on agreed working hours and contract terms) with progression as you grow
- Performance Bonus: Up to £5,000 based on impact and company performance, subject to company policy and eligibility and prorated where applicable
- Clear salary and equity progression framework
Speed and Career Growth
- Promotion reviews every 6 to 9 months
- Opportunity to lead projects within your first 3 to 6 months
- Direct exposure to leadership and board level decision making
Flexibility and Time
- Structured office based working model
- Two week company wide closure over Christmas
- One week company wide closure in summer
Learning and Development
- Annual learning budget (£500 to £2,000 depending on role)
- Sponsored certifications across AI, data and healthcare
- Conference access including ISPOR, Rewired, BSH and others
Tools and Environment
- MacBook and full tech setup provided
Culture and Office Experience
- Prime Canary Wharf office location
- Unlimited drinks in the office
- Freshly baked cookies every day at 3pm
- Monthly team socials
- First Wednesday team breakfast
Impact and Mission
- Work on real world healthcare problems impacting millions of patients
- Build outputs used across hospitals and national programmes
- Direct exposure to NHS, pharma and global systems
What Makes This Different