Cohere Health is looking for innovative and creative individuals to apply optimization and statistical methods on a variety of data to uncover hidden drivers, impacts, and key influences to support their product, leadership, and clinical teams. The goal is to support decision-making and dig into a wide range of strategic and clinical problems within a growing organization focused on improving payer-provider collaboration, cost containment, and healthcare economics.
Requirements
- 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 graph database managing clinical concepts is a big plus
- Experience in prompt engineering and context optimization with LLM
- Experience with programming languages (Python,PySpark, Scala and/or Spark SQL)
- Strong interest and understanding of EMR data, Claims and SDOH data
- Experience with data visualization tools such as Tableau and Kibana, preferred
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.
- 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
Other
- 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
- 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.
- Fully remote opportunity with about 5% travel
- MSc or higher degree in a data science/ analytics, statistics, mathematics, engineering related field
