Data Scientist - Causal Inference

Data Scientist - Causal Inference

New York, NY

USD $165,000

This NYC startup in the medical imaging space is looking for a Statistician focused on causal inference to work on large diverse data sets to help pioneer the reduction of misdiagnoses in the medical space

THE COMPANY

Harnham are partnered with an innovative startup, with their founders coming from top universities, research institutions, and Fortune 500 companies, that uses cutting edge deep learning technology to help improve diagnoses and enhance patient experiences

THE ROLE

• You will develop advanced statistical models focusing on causal inference
• You will implement and design code and build out to production using various advanced statistical techniques with access to petabytes of data.
• Work cross functionally with data engineers, computer vision engineers, and machine learning scientists

YOUR SKILLS AND EXPERIENCE

The successful Senior Data Scientist will likely have the following skills and experience:

• Heavy experience using Python, R, Spark, Hadoop and AWS for predictive modeling and data manipulation
• Commercial experience building statistical models in similar (environmental) setting
• Prior experience using causal inference
• Interest in or working knowledge of healthcare
• Bayesian statistics experience preferred
• Experience with analyzing large-scale datasets a must
• Neural network experience a plus (CNN, RNN, LSTM, etc.)
• MS or Ph.D. in Statistics or relevant field
• Deep Learning or Natural Language Processing experience a plus

THE BENEFITS

A competitive base salary of $150,000-165,000 and the chance to join an incredible company during an exciting growth period

HOW TO APPLY

Please register your interest by sending your résumé to Elizabeth Sobel via the Apply link on this page.


KEYWORDS

Machine Learning, Statistics, Causal Inference, Healthcare, MRI, Causality, Medical Imaging, Healthtech