Eight Sleep is the world’s first sleep fitness company. Our mission is to fuel human potential through optimal sleep. We use innovative technology, detailed design, and proven science and data to personalize and improve each night for everybody—changing the way people sleep forever and for the better. 

Backed by leading Silicon Valley investors, we have been recognized as one of Fast Company’s Most Innovative Companies in 2018, 2022, and 2023.

Our temperature-regulated technology, the Pod, is an absolute game changer, improving people’s health and happiness by changing the way they sleep. The Pod was also recognized two years in a row by TIME’s “Best Inventions of the Year.” It is available for purchase in North America (the United States and Canada) and throughout the United Kingdom, Europe (Belgium, France, Germany, Italy, Netherlands, Spain, Sweden, Denmark), and Australia via eightsleep.com. We’re excited by the success of the Pod to date and still have a long way to go toward achieving our mission

That is why Eight Sleep is looking for a hands-on, research-oriented Data Engineering Co-op to help optimize data workflows for research studies. You will work closely with the current Data Engineer, ensuring data quality for all research studies, setting up data workflows that follow HIPAA guidelines and good clinical practices, and set up pipelines to streamline statistical analyses for ongoing data collections and completed studies that will be used to drive feature insights & algorithm development, used for white papers and peer-reviewed publications. This role will report to the Director of Science & Clinical Research at Eight Sleep, on the Research & Development team. 

We are seeking someone who is passionate about health technologies and about making an impact on health outcomes, directly relating to sleep and human performance. We look for people who tackle problems with a systematic approach, and make data driven decisions to deliver the best products to our users. This role has high growth potential to contribute to the development of novel sleep technologies and to advance the field of sleep research. You will have the opportunity to work on cutting-edge projects and collaborate with a team of highly skilled professionals in sleep science, engineering, and data science.

This co-op position is a unique opportunity to gain practical experience in a dynamic startup setting, tackling real-world issues that affect people’s well-being. You’ll have the opportunity to work with large datasets, create data pipelines, and contribute to statistical and machine learning analyses by assisting with data preparation, cleaning, and visualization.

This role requires onsite work from our Boston office, located in Newton Centre, at least 3 days a week.

How you’ll contribute

• Data engineering: 

  • Manipulating, cleaning, and transforming raw data into a usable format for analysis (requires time aligning and parsing data from multiple sources with varying sample rates).

  • Writing, testing, and maintaining Python and SQL scripts for data analysis, and compiling results into tables and presentations.

  • Extracting and cleaning temperature and physiological data to support future Machine Learning model development.

• Ensure good data quality & privacy:

  • Developing and implementing processes to ensure that data are accurate, complete, and consistent throughout the data collection period of a study.

  • Building databases and workflows that ensure subjects’ PII are protected for data privacy (in accordance with HIPAA and IRB compliance).

• Tooling:

  • Enhancing our existing data quality scripts by building dashboards, scripts, and/or efficient methods to check incoming study data quality to identify problems with sensors and/or trials.

  • Developing and maintaining tools and processes to improve efficiency and consistency across projects, including abstracting one-off scripts into reusable tools and developing new features for daily quality checks and study management.

What you’ll need to succeed 

• Bachelor’s or Master’s degree (or currently pursuing) in Computer Science, Software Engineering, Data Science, or a related field.

• Highly proficient in SQL, AWS S3, GitHub, and Python (Pandas, Scipy, Numpy, Jupyter Notebooks, PyCharm, seaborn/matplotlib/plotly).

• Experience with data manipulation, cleaning, and analysis, and data visualization.

• Ability to write clean, maintainable, and efficient code using best practices.

• Strong time-management skills, and excellent attention to detail while moving at a fast pace.

• Flexibility: willingness to jump into new projects or assignments (e.g. help collecting data) 

Preferred

• 6+ months of work experience 

• Experience working with wearable and/or human physiology data, or knowledge of sleep and physiology

• Basic understanding of HIPAA, GCP, and IRB compliance for data privacy

• Human research experience

• Proficiency in one or more dashboard development tools, such as Tableau, Power BI, or Looker.

Why you’ll love Eight 

• We’re a tight-knit, passionate team that’s working to improve people’s lives by improving the way they sleep

• Leadership is committed to employees’ wellness and career development

At Eight Sleep we continually celebrate the diverse community different individuals cultivate. As an equal opportunity employer, we stay true to our values by ensuring everyone feels they can flourish and grow. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.