The ideal candidate's favorite words are Python, time series data and healthcare. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex medical data sets to ask the right questions and find the right answers.

Analyze raw data: assessing quality, cleansing, structuring for downstream processing

Design accurate and scalable classification algorithms

Collaborate with medical and methodology experts to bring analytical prototypes to production

Generate actionable insights in disease classification

Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)

At least 1 - 2 years' of experience in time series data algorithms

Deep understanding of classification techniques, machine-learning

Fluency in a programming language (Python, SQL)

Familiarity with Big Data frameworks