Senior Data Scientist

Summary

Join Cohere Health, a rapidly growing clinical intelligence company, as a Data Scientist. You will leverage your expertise in data analysis and modeling to support product, leadership, and clinical teams. This role involves collaborating with cross-functional teams, developing research questions, performing in-depth analysis of healthcare data, and presenting findings through data visualization. You will contribute to strategic decision-making and help improve healthcare outcomes. The ideal candidate possesses extensive analytical experience in a healthcare setting, strong programming skills, and a relevant advanced degree. Cohere Health offers a competitive salary and benefits package.

Requirements

• 5+ years analytical experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization
• Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, and data analytics
• Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations
• Experience with programming languages (Python, R, PySpark, Scala and/or Spark SQL)
• Strong interest and understanding of EMR data, Claims and SDOH data
• MSc or higher degree in a data science/ analytics, statistics, mathematics related field
• Experience with Amazon AWS cloud platform
• Experience with ElasticSearch

Responsibilities

• Work as part of a cross-functional team to develop project requirements, identifying data collection sources for project needs
• Responsible for milestone setting from a data science perspective
• Develop research questions and undertake data exploration to understand who our product users are, how they get value out of Cohere, and where we can develop our product to bring greater value and simplify healthcare
• Perform in-depth analysis of healthcare data coupled with data from product and other sources to independently design, develop, and deliver analytic deliverables that meet quality, cost and service objectives
• Leveraging data from various sources, e.g., eligibility, medical, pharmacy claims, and data submitted by providers via the prior authorization process, working with Clinical Programs to analyze and simulate expected impact and ROI, e.g., medical expense, administrative cost, improved quality and outcomes
• Present information using data visualization techniques and propose solutions and strategies to business challenges
• Design causal analysis methodology and experiments including causal questions, discovery, and causal inference in healthcare data
• Study noise in the decision making process in healthcare

Preferred Qualifications

• Experience with data visualization tools such as Tableau and Kibana
• Experience with graph database

Benefits

• Health insurance
• 401k
• Bonus