Summary

Posted: Mar 31, 2021

Weekly Hours: 40

Role Number:200223860

Home Office: Yes

Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal produc...Summary

Summary

Posted: Mar 31, 2021

Weekly Hours: 40

Role Number:200223860

Home Office: Yes

Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

At Apple, we make extraordinary products that empower people to improve their health. The people here at Apple don't just build products - they craft the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that encourage the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.

Are you ready to apply your educational experience to real-world problems? If you know how to handle pressure and timelines, work well on a team, and have an eye to the future - we're looking for you.

The Health Technologies Team conceives and proves out exciting new technologies for Apple's future products and features. We are seeking a highly motivated Data Scientist intern to join our cross-functional team to help drive feasibility of health and wellness sensors, systems, and applications.

You will become part of a hands-on design and development engineering team that fosters engineering excellence and innovation. Join us to design and develop category-defining features that represent the groundbreaking edge of innovation in the emerging and dynamic consumer health field.

Key Qualifications

• Medical, health, wellness, and/or fitness sensors, systems, and applications.
• Health data processing, cleaning, and analysis.
• Python, SQL, and data visualization techniques (custom or e.g. Tableau).

Key responsibilities include:
- This is a 6-12 month experience. The project focuses on sleep pattern ("phenotype") discovery using real-world sleep tracking data.
- Standard population statistical inference methods driven by clinical context provided by the team and published literature.
- Visualization techniques applied to longitudinal (time series) sleep patterns within-individuals tracked over time.
- Unsupervised clustering methods for data-driven sleep phenotyping.

Education & Experience

Currently pursuing a Master's or Ph.D. degree in Biostatistics, Biomedical Engineering, Computer Science, Electrical Engineering or a related subject area.

Additional Requirements

• As Data Scientist Co-op you will:
• - Thrive in fast-paced environment.
• - Be highly organized, able to multitask, and show attention to detail.
• - Be an excellent communicator with strong interpersonal skills.
• - Have a proven ability to work as a key member of a team.
• - Employ strong analytical and problem-solving skills.