We are seeking a Principal Data Scientist - Machine Learning Platform to join our Data Science team to focus on researching and implementing healthcare Deep Learning algorithms at scale to become part of Lumiata’s Machine Learning Platform. This individual will play a critical data science and ML engineering leadership role, by stirring the team to specific experiment and research directions that can take our platform to the next level. We want this individual to lead internally and externally in the industry by contributing to the research and technical communities.
This role would involve a strong understanding of:
As a Principal Data Scientist, strong leadership and executive presence is desired; not only learn and apply the above, but to disseminate and evangelize with members of the team.
Lumiata delivers Machine Learning powered health analytics to make healthcare smarter. At the intersection of clinical, operational, and financial functions, Lumiata provides cost and risk analytics to health plans, care providers and employers. We have over 100+ end-to-end model pipelines to solve use-cases in pricing and underwriting, medical intervention recommendation, hospital readmission risk, and payment integrity. We are rare in that we have both a strong customer-centric focus, as well as a strong R&D pedigree (for example, we published a paper to appear in the top AI conference AAAI in 2021, which describes how our ML pipelines provide decision support for pricing/underwriting of health insurance plans: https://arxiv.org/pdf/2009.10990.pdf).
We process TBs of patient data per customer, which we use to train/fine-tune a variety of AI/ML models that are used to solve our customer’s prediction and classification problems. We’ve also built a Big Data / Machine Learning platform for managing PBs of data, as well as providing our data science team capabilities that will allow them to iterate very quickly throughout the ML experimentation lifecycle: data cleansing, feature engineering, training, predict/classify, tune, and repeat. We are driving towards reaching economies of scale via our platform.
Based in Silicon Valley, Lumiata’s team is a diverse, multinational, creative team; join us in building a better medical system for everyone by tackling looming health problems using large scale machine learning. Lumiata is backed by Khosla Ventures, BlueCross BlueShield Venture Fund, Intel Capital, Sandbox Industries and other leaders in healthcare and AI.
Diversity creates a healthier atmosphere: Lumiata is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
Your application was submitted successfully.