Data Scientist Co-Op (June-Nov 2024)

United States

Applications have closed

Company Overview:

Cohere Health is illuminating healthcare for patients, their doctors, and all those who are important in a patient’s healthcare experience, both in and out of the doctors office.  Founded in August, 2019, we are obsessed with eliminating wasteful friction patients and doctors experience in areas that have nothing to do with health and treatment, particularly for diagnoses that require expensive procedures or medications.  To that end, we build software that is expressly designed to ensure the appropriate plan of care is understood and expeditiously approved, so that patients and doctors can focus on health, rather than payment or administrative hassles.

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 experienced data scientists, cross functional teams with clinical programs and products 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. 

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 product 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:

  • Passionate about improving the U.S. healthcare system and helping ensure every patient receives the best care possible
  • Self-starter, able to work independently, able to succeed in a fast-paced, high intensity start-up environment
  • Knowledge of programming languages (Python, R, PySpark, Scala and/or Spark SQL)
  • Knowledge of data visualization tools such as Tableau
  • Strong interest and understanding of EMR data, Claims and SDOH data
  • Ability to switch between focusing on technical details and larger picture concepts depending on your audience
  • Currently pursuing a Bachelor’s or graduate degree in Statistics, Economics, Computer Science, Mathematics, or another quantitative field

The compensation rate for this position is $30/hour. 

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

 

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Tags: CoHere Computer Science Data visualization Economics Mathematics PySpark Python R Scala Spark SQL Statistics Tableau

Perks/benefits: Career development Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  111  39  2
Category: Data Science Jobs

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