Data Scientist at Cohere Health

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using leading edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health insurance plans covering over 15 million people, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work, Top 5 LinkedIn™ Startup, TripleTree iAward, multiple KLAS Research Points of Light, along with recognition on Fierce Healthcares Fierce 15 and CB Insights Digital Health 150 lists.

Opportunity Overview:

We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems. 

As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization. 

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

What you will do:

• Play a key role in gathering business requirements, using them for trend analysis and uncovering actionable insights, and writing technical requirements; using a variety of analytic tools 

• 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

Your background & requirements:

• 2+ 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 

• Experience with data visualization tools such as Tableau and Kibana, preferred

• Bachelor’s or Master’s degree in STEM, public health, biostatistics, economics, or other related field