Data Science Intern - Consumer Analytics (Multiple Locations)
San Mateo, CA
Applications have closed
Evidation Health
Evidation creates new ways to measure and improve health in everyday life through a direct connection with individuals and their real world health data.**Considering candidates in San Mateo, Santa Barbara, or US-based remote**
We’re looking for a product minded intern who is looking to use their data science skills to build the next generation of personalized health tools. Our work lies at the intersection of many diverse fields including machine learning, signal processing, and epidemiology, and in this role you will be driving projects that harness vast amounts of time series data from wearables, sensors, and other mobile data to build data science products that benefit members of our Evidation App Ecosystem. The ideal candidate will have an analytical background, be familiar with writing software for analytical applications, and have a strong desire to contribute within a product focused organization . We value problem-solving skills and an attitude towards learning. We seek great communication and accountability, people who think people first.
Responsibilities:
- Pair with a data scientist at Evidation to devise and execute on an exciting health data science or ML for health project. The project could include: developing consumer insights from health and activity data using AI/ML and statistical techniques, use AI/ML to better understand participant health or activity, building data sources and analysis tools to help automate data analyses and generate ML based insights, build and analyze your own mini study using surveys and activity data with Evidation’s consumer application.
- Work cross functionally with product, engineering, and other data science teams to help contribute valuable insights to Evidation and its participants.
- Continuously learn new technologies and best practices in health data science and ML for health research.
Qualifications:
- Currently pursuing a BS or ideally MS/PhD in computer science, applied mathematics, health data science, epidemiology, biomedical engineering, electrical engineering or a related technical discipline.
- Experience with Python, R, or Julia and relevant data analysis tools/packages
- Experience with statistical modeling or data analysis
- Strong written and verbal communication
- Eagerness to contribute and learn
- Experience with SQL a plus
- Experience with Git is a plus
- Interest in working in health data science and/or ML for health to help improve people’s lives
ABOUT EVIDATION
Evidation measures health in everyday life and enables anyone to participate in groundbreaking research and health programs. Built upon a foundation of user privacy and control over permissioned health data, Evidation's Achievement platform is trusted by millions of individuals—generating data with unprecedented speed, scale, and rigor. We partner with leading healthcare companies to understand health and disease outside the clinic walls. Guided by our mission to enable and empower everyone to participate in better health outcomes, Evidation is working to bring people individualized, proactive, and accessible healthcare—faster.
OUR VALUES
- Put individuals first
- Challenge each other and state your good intent
- Go fast while maintaining quality and integrity
- Work to win together
OUR BENEFITS & PERKS
- Opportunity to work on fascinating challenges that improve people’s lives
- Competitive salary
- Employee advisory committee focused around diversity, equity, inclusion, and belongingness
- Distributed teams and flexible work hours
- Apple laptop and your choice of mouse or trackpad
- LinkedIn Learning and other professional growth opportunities
EVIDATION HEALTH VALUES DIVERSITY AND IS COMMITTED TO EQUAL OPPORTUNITY FOR ALL PERSONS WITHOUT REGARD TO RACE, COLOR, CREED, RELIGION, MARITAL STATUS, AGE, NATIONAL ORIGIN OR ANCESTRY, POLITICAL ACTIVITY OR AFFILIATION, PHYSICAL OR MENTAL DISABILITY, MEDICAL CONDITION INCLUDING GENETIC CHARACTERISTICS, MARITAL STATUS, SEXUAL ORIENTATION, GENDER IDENTITY, SEX OR GENDER.
Tags: Computer Science Data analysis Engineering Git Julia Machine Learning Mathematics PhD Python R Research SQL Statistical modeling
Perks/benefits: Career development Competitive pay Equity Flex hours Gear Health care
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