Senior Data Scientist

Summary

Join Cohere Health as a Data Scientist and drive strategic initiatives impacting product development and business outcomes. Collaborate with cross-functional teams, lead in-depth analyses of healthcare data, and mentor junior data scientists. Translate business needs into technical requirements and present findings to stakeholders. Design and conduct causal inference analyses, leverage cutting-edge technologies, and utilize data visualization techniques. This is a fully remote opportunity with significant growth potential within a rapidly expanding organization.

Requirements

• 5+ years hands-on data science experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization
• Demonstrated leadership experience in healthcare data science with a track record of influencing product strategy and business outcomes
• Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, causal inference, and pattern detection
• 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,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, engineering related field

Responsibilities

• Drive strategic data science initiatives that directly impact our product roadmap and business outcomes while working as part of a cross-functional team
• Take ownership of data science milestones, requirements gathering and identify risks and opportunities with various data sources
• Independently lead in-depth analyses of a variety of healthcare and product data sources to enable data-driven decision-making driving business impact and ROI
• Mentor junior data scientists in development and statistical best practices, conduct code reviews, and communication with non-technical audiences
• Strong communication skills with the unique ability to translate business needs from stakeholders into data science technical requirements and translate data science results back to business and clinical units
• Present information using data visualization techniques and propose solutions and strategies to business challenges
• Design and conduct causal inference analyses using healthcare claims, EHR and similar data
• Leverage a variety of cutting-edge technologies, including LLM and stochastic optimization, to support faster and better decision making

Preferred Qualifications

• Experience with graph database managing clinical concept is a big plus
• Experience in prompt engineering and context optimization with LLM
• Experience with data visualization tools such as Tableau and Kibana, preferred
• Experience with Amazon AWS cloud platform
• Experience with deep learning models (e.g., transformers), LLM
• Experience working with unstructured healthcare data (e.g., clinical notes, call transcripts)

Benefits

• ���� Fully remote opportunity with about 5% travel
• ���� Medical, dental, vision, life, disability insurance, and Employee Assistance Program
• ���� 401K retirement plan with company match; flexible spending and health savings account
• ����️ Up to 184 hours (23 days) of PTO per year + company holidays
• ���� Up to 14 weeks of paid parental leave
• ���� Pet insurance