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We are looking for a Data Analyst to join a dedicated software development team supporting a clinical data platform used to derive insights across the clinical trial lifecycle. You will work closely with product owners and data engineers to validate data outputs, identify gaps, and support the development of meaningful, accurate insights from complex clinical datasets.
This is a hands-on, judgment-intensive role — you will be expected to move between defined analytical tasks and open-ended problem solving, often independently. WHAT YOU'LL DO AT H1 - 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 ABOUT YOU - A critical thinker who can assess not just what the data says, but whether it makes sense
- Someone who understands the inherent shortcomings of clinical datasets and knows how to work around them
- Confident working autonomously — you're given problems, not just tasks
- A strong communicator who holds their own in meetings, including when you're the only remote participant in the room
- Experienced collaborating across time zones 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; experience with Python a plus
- Comfortable working independently in a remote setting with a distributed teamH1 OFFERS - 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 H1 is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law. H1 is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you require an accommodation, please reach out to your recruiter once you've begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.
This is a hands-on, judgment-intensive role — you will be expected to move between defined analytical tasks and open-ended problem solving, often independently. WHAT YOU'LL DO AT H1 - 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 ABOUT YOU - A critical thinker who can assess not just what the data says, but whether it makes sense
- Someone who understands the inherent shortcomings of clinical datasets and knows how to work around them
- Confident working autonomously — you're given problems, not just tasks
- A strong communicator who holds their own in meetings, including when you're the only remote participant in the room
- Experienced collaborating across time zones 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; experience with Python a plus
- Comfortable working independently in a remote setting with a distributed teamH1 OFFERS - 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 H1 is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law. H1 is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you require an accommodation, please reach out to your recruiter once you've begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.