Job Description

Data Science Intern 2021 Job Description:

Based in Palo Alto, California, Prealize Health is a predictive analytics company that leverages machine learning and clinical expertise to help patients obtain better care, sooner. Most of healthcare today is very reactive – with care being delivered when someone is already ill. We believe that healthcare should be about keeping individuals and their families well – to prevent them from ever becoming sick. Building on years of published research from our founders at Stanford University, our mission is to give patients, providers, and payers the insights they need to improve patient health and prevent adverse medical events. Through machine learning and the extensive experience of our founders, team, and advisors in healthcare, we are committed to helping healthcare organizations see around the corner so that they can take a proactive approach to helping patients.

We are seeking a Data Science Intern to join our team this summer. You will work closely with other

data scientists, product managers and clients to help develop data-driven products that will directly

affect patient lives. Your contribution in data modeling and machine learning applications will be crucial

to our mission and the success of the company.

As a Data Science Intern you will:

• Develop and apply methods in machine learning, deep learning and statistics to expand and improve our product offerings

• Work closely with our clients to understand their needs and translate them into ML- powered solutions that identify and prevent any type of bias

• Work with our product team to ensure we create the highest value products possible for our partners

• Work with our engineering team to enhance the quality, robustness, and extensibility of our platform for millions of patients

• Work with our advisors and keep up to date on relevant literature to ensure we use the best approaches available

• Document and present your work to the team

  You will love this job if:

• You enjoy translating high-level goals and business use cases into concrete implementations

• You are passionate about making an impact in healthcare and want to work in a fast- paced environment

• You love to collaborate with technical and non-technical stakeholders

• You are passionate about scalable and reproducible machine learning

Qualifications:

• Pursuing a degree in computer science, math, statistics, biostatistics, bioengineering or

any related field

• Fluent in Python, R, or similar programming language

• Experience working with machine learning regression and classification approaches

(random forests, neural networks, etc.)

• Familiar with software development tools, like version control

• Experience working on interdisciplinary, collaborative projects

• Ability to research and come up with strategies to solve novel challenges

• Excellent communication skills

Nice to Have but Not Required:

Experience in deep learning

Experience in the healthcare domain, including healthcare finance

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