Why This Role Stands Out
This remote Health Studies Scientist role offers a fantastic opportunity to contribute to innovative consumer devices at a globally leading company, with a competitive hourly rate of $68-$83. You'll thrive here if you possess a strong background in health research and data collection, enjoy collaborating with diverse teams, and are eager to drive scientific validity in impactful studies. Apply now to leverage your expertise and grow your career in a dynamic, forward-thinking environment.
Quick Overview
Job Description
A globally leading consumer device company based in San Diego, CA is looking for a Health Studies Scientist to join their team. In this role you will partner with cross-functional engineering and product teams to design, pilot, and execute health studies that evaluate sensor and algorithm performance. You will translate research goals into rigorous protocols, lead hands-on data collection with human participants, and ensure high scientific validity and data integrity.
Key Responsibilities:
• Collaborate with engineers to define hypotheses, endpoints, and methodologies for lab and remote-based longitudinal studies. Author study protocols, Informed Consent Forms (ICFs), and SOPs that comply with Google Cloud Platform and human subject protections.
• Coordinate and lead study sessions involving human participants, wearable sensors, internal data logging tools, and third-party clinical reference devices.
• Lead pilot studies to de-risk protocols, validate collection pipelines, and troubleshoot sensor performance before scaling.
• Partner with Study Operations Engineers to launch, monitor, and close out studies; train personnel on collection protocols and data-quality standards.
Required Qualifications:
• Bachelor’s degree in biomedical engineering, Bioengineering, Health Sciences, or a related field.
• 3+ years of experience in health/clinical research, sensor validation, or human data collection.
• Demonstrated experience authoring research protocols, consent documents, and study documentation.
• Clear communicator who can align priorities across research scientists, engineers, legal, privacy, and operations teams.
Preferred Skills:
• Familiarity with FDA regulatory standards, Google Cloud Platform, human factors principles and project management
• Direct experience conducting studies with human participants, operating physiological sensors/devices, and managing data collection workflows.
• Hands-on experience using Generative AI tools (e.g., LLM-assisted coding, prompt engineering, or AI productivity workflows) to build tools, automate operational tasks, or accelerate scientific documentation.
• Experience using Python or shell scripts to verify, check, and process collected data.
Type: Contract
Duration: 12 months with extension
Work Location: San Diego, CA (onsite)
Pay range: $68.00 - $83.00 ph (DOE)
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