Senior/Staff Machine Learning Data Scientist

Bayesian Health; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Bayesian Health is seeking a Senior/Staff Machine Learning Data Scientist to enhance real-time ML models that improve patient outcomes. This role involves prototyping, productionizing, and deploying ML models, requiring strong skills in Python and SQL. The ideal candidate holds a Ph.D. and has 3+ years of experience in shipping ML-based software products. Join our diverse team to make healthcare proactive by leveraging data effectively. This is an opportunity to save lives through innovative technology.

Qualifications

• Ph.D. in a relevant field plus 3+ years experience shipping ML‑based software products.
• Experience owning ML models from prototyping to production, especially real‑time algorithms.
• Experience writing production‑grade Python and SQL code to evaluate ML models.

Responsibilities

• Develop and tune innovative new ML models based on clinical use cases.
• Integrate models into production systems using production‑grade Python.
• Deploy production‑grade Python code to improve ML systems.

Skills

Machine Learning

Python

SQL

Statistics and performance metrics

Cross-functional collaboration

Education

Ph.D. in a relevant field

Tools

PyTorch

PySpark

MLFlow

Anomaly detection

Job description

We’re an early‑stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real‑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 outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point‑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, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital.

Our company has won many awards; most recent recognitions include Forbes 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 real world. In practice, that means you aren’t afraid to get your hands dirty by writing data mapping code, debugging patient data flows through our AWS services, or improving the timeliness of your model’s predictions by 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: Refine and integrate models into production systems using 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: Translate model performance and metrics into storytelling; present results to technical and non‑technical users internally and externally.

Minimum Qualifications

• Ph.D. in a relevant field plus 3+ years experience shipping ML‑based software products.
• Experience owning 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 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.