Offer summary

Qualifications:

Bachelor's degree in a quantitative discipline, human physiology, or qualitative research field., 1-3 years of experience with physiological monitoring sensors or time-series data., Strong communication and analytical skills, with a passion for patient-centric research., Proficient in Microsoft Office and able to learn new software systems quickly..

Key responsibilities:

Use VivoSense® software to visualize and clean complex datasets.

Support coordination of study approval and execution, managing vendors and ensuring compliance with study protocols.

Contribute to study data reports and maintain communication with clients and stakeholders.

Promote knowledge sharing and contribute to the Science Team culture within VivoSense.

Job description

Data Manager

Remote (US only)

About VivoSense

VivoSense is a science-first digital health company building the future of patient-centered evidence through advanced biosensor analytics. Our software and scientific services enable the development, validation, and regulatory acceptance of digital biomarkers and outcomes grounded in real-world, real-life data. Since securing Series A financing, we are scaling up our research capabilities and expanding our reach across therapeutic areas and clinical development phases.

We help our partners—from leading pharmaceutical companies to cutting-edge research institutions—turn noisy, complex data into trustworthy evidence that accelerates drug development and improves health outcomes.

We don’t just analyze data—we build evidence.
Learn more: vivosense.com

About the role

As a Data Manager, you will join a small, ambitious, cross-functional team delivering end-to-end services for external client sponsors and conducting the foundational research that underlies the development and validation of new objective digital biomarkers and outcomes. You will support senior clinical study leads, senior data managers, and research scientists to execute externally facing client studies and internal R&D initiatives. Projects will cover a range of therapeutic areas, stakeholder groups and patient journeys. In this role you will use our VivoSense® software platforms to assist in the collection and management of high-resolution wearable sensor data.

Competitive candidates will have a background in human subjects research, be able to work both independently and cross-functionally, have strong communication and analytical skills, and have a passion for improving clinical trials through patient-centric digital evidence.

RESPONSIBILITIES

Data Management: Learn how to use VivoSense® software to visualize and clean complex datasets, such as actigraphy and respiratory data. Support senior science team personnel in delivering high-quality data to our customers, by performing tasks like data cleaning, compliance monitoring and data quality review.
Implementation: Support coordination of study approval and execution, manage vendors and work with our sponsors to ensure data collection is accurately carried out according to the study protocol. Perform a variety of operational tasks under the guidance of senior science team personnel, such as creating and maintaining accurate study records and documentation.
Reporting and Communication: Contribute, in a time-sensitive and professional manner, to study data reports, dashboards and dissemination activities. Create and maintain study data trackers for auditing compliance purposes. Engage in client-facing meetings (prepare meeting material, meeting minutes, and follow up on action items), and maintain daily communication with clients, vendors and the wider VivoSense team. Disseminate best practices with internal stakeholders.
Culture: Contribute to Science Team culture within VivoSense, promoting knowledge sharing and bringing new ideas into the group.

About you

SKILLS AND EXPERIENCE

This is what we think the successful candidate might look like. If this doesn‘t look like you, but you think you are a strong candidate, then please get in touch and tell us why!

At least 1-3 years experience with at least one of the following:
- Physiological monitoring sensors (e.g. actigraphy and respiratory sensors)
- Physiological time-series data (e.g. sleep or ECG data sets)
- Scientific collaboration, including communicating verbally and in writing, and managing expectations across stakeholders with various backgrounds, (e.g., clients, internal stakeholders)
Bachelor’s degree (or equivalent experience) in a field such as:
- Quantitative disciplines (e.g., Machine Learning, Biostatistics, Biomedical Engineering, Computer Science)
- Human physiology (e.g., Biology, Medicine)
- Qualitative research disciplines (e.g., Social Psychology, Organizational Behavior, Health Outcomes, Cognitive or Experimental Psychology)
Passion for patient-centric research and engagement
Detail-oriented, organized, adaptable, and eager to learn
Proficient in Microsoft Office (Word, Excel, Outlook, PowerPoint)
Knowledge of general software systems and proven ability to learn new systems
Willingness to work outside of standard business hours, as needed
Bonus: Expertise in human subjects clinical research; experience with pharmaceutical industry; experience with regulatory submissions