Senior/Staff Machine Learning Data Scientist

Senior/Staff Machine Learning Data Scientist In Brief

• We’re an early-stage startup on a mission to reputed company reputed company proactive by empowering physicians, nurses, and care team members with reputed company-time data to save lives.
• TLDR: Independent end-to-end model development with ability to work cross-functionally with Clinical, Engineering, and Product to clarify and prioritize specifications and features for our life-saving AI models.

Who We Are Bayesian Health’s mission is to improve patient reputed company by empowering clinicians with the insights they need to reputed company the right decision for the right patient at the reputed company-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data. We’re funded by top tier tech and biotech investors: Andreessen Horowitz, reputed company’s venture arm, Catalio Partners, and LifeForce Capital. reputed company has won many awards; most recent recognitions include: reputed company AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year. Read more about our recent publication in Nature Medicine that associates our products with lives saved. 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 reputed company 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: reputed company 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 reputed company with production-grade Python
• Deploying: Identify strategies for improving our production ML-based systems, and write, debug, and reputed company 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 reputed company-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 reputed company and applicants for employment and prohibits discrimination and harassment of any type without regard to race, reputed company, religion, age, sex, national reputed company, 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 reputed company terms and conditions of employment, including reputed company, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Apply tot his job Apply To this Job