Bayesian Health, Inc.

Senior/Staff Machine Learning Data Scientist

Full-time · Remote - US Only
✓ Verified live on the employer's own system · added 291 days ago
Save search
Mid-level · 3+ yrs exp

Requirements

Education: Doctorate

Experience: 3+ years

Skills & tools

Machine LearningMachine Learning ModelsPatient CareTroubleshootingCloud PlatformsProject ManagementPythonSQL
Apply on company site ↗ See your fit → free

Full job description

What you'll do

As a Senior/Staff Machine Learning Data Scientist, you are not satisfied with training and tuning ML models that predict clinical conditions in patients; you also want to own the effectiveness of your model in the real world. In practice, that means you aren't afraid to get your hands dirty by writing data mapping code, debugging a specific patient case by following patient data as it moves through our AWS services, or improving the timeliness of your model's predictions by reading and writing production-grade Python and SQL code.

Responsibilities

- Model Prototyping: Develop and tune innovative, new ML models and labeler systems based on deep understanding of clinical use cases and state-of-the-art ML methods

- Productionizing: The same models that you develop with production-grade Python

- Deploying: Identify strategies for improving our production ML-based systems, and write, debug, and deploy production-grade Python code to implement those strategies

- Cross-Functional Alignment : Data Science for storytelling - understand model performance and metrics, and present this to technical and non-technical users, both internally and externally

Minimum qualifications

- Ph.D. in a relevant field plus 3+ years experience shipping ML based software products

- Experience owning your ML models from prototyping to production, especially real-time algorithms that update dynamically across time

- Experience writing production-grade Python and SQL code to implement and evaluate ML models in production systems

- Track record of using statistics and performance metrics to compare end-to-end ML and product performance

Preferred qualifications

- Experience shipping breakthrough or 0-1 products from end to end, interpreting and leveraging State-of-the-Art methods to do so

- Experience using messy clinical and health data to design new products for large Health Systems

- Experience with any of the following: PyTorch, PySpark, HL7, FHIR, EHR, time series data, signal processing, MLFlow, anomaly detection, Bayesian statistics, quantile regression, time-series forecasting

- You bring passion and enthusiasm to your work, and are excited to join a growing team to Get Stuff Done and save lives!

Bayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

More jobs at Bayesian Health, Inc.

Similar jobs near Remote - US Only

Tell me when more Staff Machine Learning Scientist, Translational AI jobs post near US Remote We re-check every listing against the employer’s own board — no résumé needed.

Search Senior/Staff Machine Learning Data Scientist jobs near Remote - US Only → Browse all live jobs

This posting was published by Bayesian Health, Inc. on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.