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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