25 Jul
Principal Data Scientist
California, Sanmateo , 94401 Sanmateo USA

Vacancy expired!

Fully remote venture-backed company in the healthcare industry!This Jobot Job is hosted by: Chelsea AndersonAre you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $180,000 - $210,000 per year

A bit about us:We are a venture-backed company based in California inventing predictive analytics for healthcare leveraging the power of Artificial Intelligence. Action-ready insights are returned to enterprise healthcare data analysts to enable more effective early-intervention strategies that lead to improved revenues, better patient outcomes and lower overall costs of healthcare delivery.
  • From a programming language perspective, we use Python, Scala, and NodeJS.
  • For services and web applications, we use Flask (REST) and React with MySQL backends.
  • On the Data/Machine Learning side, we use a variety of big data technologies such as Airflow,
  • Big Query, Spark (DataProc), Google Cloud Storage, Google Pub/Sub, Cloud SQL, Tensorflow, KubeFlow, scikit-learn, XGBoost, Shap.
  • Google Cloud is our cloud partner. Our long-term strategy is to be multi-cloud.
  • Most of our infra is running on GKE and it's managed via Terraform.
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 our 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:How AI and machine learning can transform healthcare.How to build and deploy novel machine learning products.How medical information is stored and communicated between different actors in the healthcare system.What modern, open standards have been developed to better communicate and represent medical data.What specific standards must be respected and how to ensure compliance to handle sensitive healthcare data including HIPAA, SOC 2 and HITRUST among others.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.

Why join us?
  • Discretionary PTO
  • 401(k) Retirement Plan
  • Health + Vision + Dental Benefits
  • Employee Referral Program
  • Paid Parental Leave
  • Professional Development

Job DetailsKey Responsibilities:
  • Participate in cutting edge research in healthcare AI/ML applications.
  • Develop solutions for real world, large scale problems.
  • Drive industry standards and beyond within the DS team
  • Use strong coding chops to drive experiments all the way to production
  • Collaborate very tightly with our engineering team in terms of setting our long term technical strategy that blends engineering and science
  • Mentor the more junior members of the data science organization
Minimum Qualifications:
  • Ph.D. in Computer Science or related field, or equivalent industry experience.
  • Experience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence).
  • Programming experience in C, C, or Python.
  • Contributions to research communities/efforts, including publishing papers in machine learning (JMLR, ICLR, NeurIPS, ICML, ACL, CVPR).
Preferred Qualifications:
  • Relevant work experience, including full time industry experience or as a researcher in a lab with Deep Learning on Electronic Health Records or claims data.
  • Experience with Spark/pyspark
  • Experience with Cloud (e.g., AWS, Google Cloud, Azureetc)
  • Strong publication record and open source contribution.
  • Ability to design and execute on research agenda.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Vacancy expired!

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