Responsibilities
- Validate data outputs and logic within the platform, identifying gaps, errors, and data loss across large enterprise datasets
- Work with clinical data sources including CTMS platforms to assess data quality and completeness
- Analyze competing analytical approaches and present reasoned recommendations on pros and cons
- Support exploration phases by independently evaluating solutions and surfacing insights to the team
- Communicate findings clearly in written reports, Excel, and PowerPoint
Requirements
- 3–5 years of experience working directly with data in pharma, biotech, or clinical research
- Hands-on experience with CTMS platforms
- Familiarity with external clinical datasets and clinical trial inclusion/exclusion criteria
- Strong working knowledge of clinical trial terminology and data structures
- Proficiency in SQL and Databricks
- Comfortable working independently in a remote setting with a distributed team
Nice to Have
- Experience with Python
Benefits
- Competitive salary + equity (RSUs)
- 5 weeks paid vacation + company-wide wellness days
- Pension with employer match
- Health, mobile phone & home office stipends
- A culture built on hygge — low hierarchy, high trust, and real autonomy over your work
- Monthly team social (søbar)
- Direct embed with one of the world's top 20 pharmaceutical companies, working on a global initiative with real impact on how clinical research gets done
- Exposure to H1's broader life sciences client network across biotech, pharma, and digital health
Additional Information
- Remote setting
- Distributed team
- Collaboration across time zones
