Clinical Research Intern

Job Description

Clinical Research Intern | HaloScape

The Tone:
This is a paid internship at HaloScape, a remote company that functions as a next-generation digital health companion. Powered by AI, HaloScape combines sleep, stress, blood test insights, daily habits, and wearable data into one smart, personalized app to empower personal wellness. This role is critical as it sits at the intersection of clinical research, AI, and product, ensuring that study findings directly inform product decisions and user observations lead to new research questions. Your contributions will directly feed into clinical protocols, scientific abstracts, and design decisions that get implemented.

The TL;DR
• Role: Internship
• Location: Remote

• Team: HaloSight (clinical research arm)
• Mission: To translate study findings into product decisions and product observations into new research questions.

What You’ll Actually Do
• Support: Support the development of literature reviews, study protocols, and submissions to Institutional Review Boards (IRBs).
• Analyze: Assist with the analysis of wearable data under direct supervision from experienced team members.
• Translate: Translate clinical research findings into concrete user experience (UX) recommendations for the HaloScape product.
• Develop: Convert user observations and product insights into testable research questions for new clinical studies.
• Contribute: Contribute to the drafting of abstracts, posters, and manuscript drafts for scientific dissemination.

The Must-Haves
• Background: Student. Currently enrolled in an MD, MD/PhD, MPH, or undergraduate program in biomedical sciences, bioengineering, neuroscience, computer science, public health, human-computer interaction (HCI), or a related field; recent graduates are also welcome to apply.
• Experience: Basic understanding of clinical study design, including familiarity with what a Randomized Controlled Trial (RCT) is and why a retrospective cohort study might be chosen instead.
• Skills: A genuine interest in the application of AI in healthcare and an understanding of how continuous data can be transformed into clinical evidence; a multidisciplinary instinct to connect research findings with product redesign and user experiences with study questions; self-directed and effective in a remote work environment.
• Bonus: Medical students, MD/PhD candidates, and undergraduates from groups underrepresented in medicine and engineering are explicitly encouraged to apply.