Senior Data Scientist, Prealize Health
$120-200k
+ Bonus + Equity
Predictive healthcare analytics
Job no longer available
Predictive healthcare analytics
21-100 employees
Job no longer available
$120-200k
+ Bonus + Equity
21-100 employees
Company mission
To transform care from reactive to proactive so that more people can live healthier lives.
Role
Who you are
- PhD or MS in computer science, statistics, biostatistics, economics, or an equivalent discipline
- 4+ years demonstrated experience building commercial products
- Expertise in Python and experience with ML frameworks like Pytorch, Tensorflow etc
- Experience with distributed computing technologies like Spark
- Experience with cloud platforms (e.g., AWS, Azure, GCP)
- Ability to process data and perform queries using SQL
- Proficiency in classical machine learning techniques as well as deep learning methods (representation learning using transformer architectures, large language models etc.)
- Ability to conduct independent research to develop strategies to solve novel challenges
- Excellent communication skills, and the ability to work collaboratively in an agile, open, and highly dynamic startup environment
- Some nice to have qualifications: familiarity with causal inference methods and experimental design, knowledge of C++, and experience in the healthcare domain
What the job involves
- We are looking for a Senior Data Scientist to join our team and work closely with clinicians, engineers, and product managers to develop products that directly impact lives of patients
- The ideal candidate will apply state-of-the-art machine learning techniques to translate high-level complex business use cases into concrete real-world solutions
- They will have deep expertise in both classical machine learning and deep learning techniques, along with a strong background in research, development, and deploying products into production environments
- Develop high-performing machine learning models for predicting future health conditions and utilization needs of patients
- Collaborate with our clinical team to translate expert knowledge into testable, data-driven hypotheses
- 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 and our partners
Our take
Most of healthcare today is very reactive – with care being delivered when someone is already ill. Prealize believe that millions of lives and billions of dollars could be saved by focusing on keeping individuals and their families well in the first place.
Prealize attempts to do this through leveraging machine learning and clinical expertise to provide predictive health analytics to healthcare providers. Its services are rooted in the leading research of its two Stanford University academic founders.
The company is determined to expand its portfolio of products and services that can positively impact healthcare in a proactive way. Thus far, that has meant services as wide ranging as a consumer experience platform that invites patients to consider their health earlier to an underwriting platform for high-cost health insurance claimants.
The determinant of Prealize’s success will be its ability to translate its deeply sophisticated machine learning models into practical applications that can be seamlessly integrated into the existing workflows of healthcare stakeholders.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Company HQ
Hayward Park, San Mateo, CA
Leadership
Kyle Raffaniello
(CEO)Previously spent over 8 years at Sapphire Digital as the President, Chief Growth & Strategy Officer and CEO. Prior to that, they spent 4 years at Vitals as the Chief Strategy & Marketing Officer and another 4 years at ValueOptions as the Executive VP/Chief Strategy Officer.
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