Job Description
At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us.
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 team
H1 OFFERS
- Generous paid time off & pre-planned company-wide wellness holidays
- Retirement options
- Health & charitable donation stipends
- Impactful Business Resource Groups
- Flexible work hours & the opportunity to work from anywhere
- The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
