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Job description
About the role
Data streams transform into actionable insights that support clinicians and patients through this role. You will own the design and execution of stable care signals that directly guide decisions in real-world healthcare settings at HealthSignal. This position requires a clear owner for each project who can set priorities, share progress, and ask for help early to keep stakeholders aligned. Written communication is critical because decisions are often recorded and revisited, so your documentation must be thorough and precise. Successful professionals in this field share habits such as taking structured notes, keeping commitments, and communicating updates in writing before being asked. Teams value individuals who make their work easy to review and build upon by providing clean artifacts and context. You will be expected to translate ambiguous problems into concrete deliverables while maintaining a high standard of reliability. Your work will have a direct impact on how healthcare data is turned into practical tools for clinicians and patients.
Key facts
Location: Remote (first - Western European + Eastern time zones)
Western European + Eastern time zones
Engagement: Full-time
Years: 2+
Visa: No visa sponsorship
Degree field: What you'll do
Building and maintaining healthcare data infrastructure for two or more years supports clinical and patient needs over time and ensures system reliability. Operating across Western European and Eastern time zones enables real-time collaboration during shared core hours, requiring careful scheduling and responsiveness. You will construct and iterate on the pipelines that convert raw health data into stable care signals used for decision support. This role does not include visa sponsorship for positions that require it, so applicants must confirm eligibility independently. You will partner with clinical and product stakeholders to translate requirements into data models and interface contracts. Monitoring data quality and system performance will be part of your daily responsibilities to prevent downstream errors. You will implement logging and alerting mechanisms that allow the team to detect issues before they affect patients. Coordinating with cross-functional teams during overlapping core hours ensures that delivery timelines are realistic and commitments are met. Writing clear technical specifications reduces ambiguity and helps distributed reviewers understand your tradeoffs. You will contribute to documentation that allows new team members to ramp up quickly and maintain continuity.
Requirements
A bachelor's degree is required; The role requires 2+ years of experience constructing healthcare data infrastructure to serve clinical and patient needs in regulated environments. You must have a track record of synchronizing availability across GMT or EST time zones to enable real-time collaboration during shared core hours. Strong attention to detail is necessary because small errors in healthcare data can lead to significant clinical consequences. You should be comfortable working independently while remaining aligned with team goals and communication expectations. The position does not include visa sponsorship because roles requiring sponsorship are not accepted under this hiring policy. Previous exposure to healthcare regulations and data standards is expected, though specific tools may be learned on the job. You must be able to provide consistent, predictable delivery without constant supervision.
Practical notes
Typical interview steps
Interviews in this field typically test judgment, communication, and fit as much as technical skill, so you should prepare stories that illustrate your decision-making. Be ready to describe a challenge you faced, what you did, and what you learned, focusing on your role in the outcome. Most companies value honest answers over polished ones, so avoid scripting responses that sound rehearsed. Preparation is visible in how clearly you speak about your work and how you connect your experiences to the role. Reviewing the company's product, the job description, and your own past work before the conversation is the strongest step you can take. Bring specific examples that show how you handle ambiguity, collaborate with others, and follow through on commitments.
Good to know
Questions to ask
Good questions to ask the employer in the interview include what does success look like in the first six months, how is the team structured, what is the current biggest challenge, and how are decisions made. Asking about growth paths and the review process is also well received, as it shows you are thinking about long-term contribution. Employers expect questions, and good ones demonstrate preparation and genuine interest in the role.
Career growth
Career growth comes from taking on harder problems and making your work visible through clear documentation and proactive communication. Look for opportunities to own outcomes, mentor others, and learn the business beyond your immediate team responsibilities. Growth in any career comes from scope, results, and the reputation you build through consistent performance. Take on work that is slightly uncomfortable, and make sure your contributions are visible to stakeholders and reviewers.
About the company
About the location
About the location
About the company
Healthcare is in crisis and the people behind the results deserve better. With more and more data coming from wearables, lab tests, and patient-doctor interactions, we are entering an era where data is abundant. At HealthSignal, we believe that this data should be turned into stable care signals that clinicians and patients can trust. Our mission is to build infrastructure that turns complex, noisy observations into clear guidance that supports decisions in real-world settings. By combining rigorous analytics with practical workflows, we aim to reduce uncertainty for clinicians and improve outcomes for the people who rely on their expertise. This role sits at the intersection of data engineering, healthcare analytics, and product decision support. If you are motivated by problems where technical execution directly affects human lives, this position may be a strong fit. The work requires patience, precision, and a commitment to evidence-based practice in fast-moving environments.