Data Scientist, Analytics Consulting

United States

Komodo Health

Get the most accurate, patient-centric view of the U.S. healthcare system. Scale insight generation with NLP-based AI and an enterprise platform.

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We Breathe Life Into Data

At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. 

As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.

The Opportunity at Komodo Health

The Analytics Consulting team at Komodo Health specializes in providing advanced analytics solutions to healthcare organizations, leveraging real-world data to drive insights and decision-making.

Our data scientists build analytics pipelines/tables and complex logic for data projects that address customer needs.

Looking back on your first 12 months at Komodo Health, you will have…

  • Delivered high-value data analytics projects
  • Implemented client solutions using techniques like advanced statistical analysis or ML for targeted therapeutic areas in our patient population
  • Developed a deep understanding of healthcare claims data
  • Effectively partnered with teams to translate client requirements into analytics to solve client needs with the capabilities of datasets available at Komodo
  • Worked with the data science  team to scale our solutions, automate code, and centralize complex logic for reusability. Advocated for good engineering practices within the team
  • Presented findings, insights and analytical results to internal and external partners for client deliveries, as well as the larger DS function for continued growth and learning

What you bring to Komodo Health:

  • Analytical mindset and the ability to solve complex problems with limited supervision
  • At least three years of industry experience working with Python and large-scale databases using SQL (data query, data cleaning, data transformation)
  • Familiarity with PySpark and R
  • Experience working with a large anonymized patient level healthcare databases (preferably administrative claims or EHR)
  • Comfort communicating complex data science topics to audiences of variable technical capability
  • Proficient with complex topics in ML modeling, advanced statistics/biostatistics, algorithm design and knowledge of ML software packages
  • Ability to work well both independently and collaboratively in a fast-paced and demanding agile environment
  • Interest in growing skills as a Data Scientist and being willing to learn and teach as part of a team
  • Strong business acumen demonstrated by a good understanding of how analytics insights (preferably in healthcare analytics) tie into business goals
  • High motivation, work ethic, and self-discipline to organize and complete tasks

#LI-Remote

Compensation at Komodo Health

The pay range for each job posting reflects a minimum and maximum range of pay that we reasonably expect to pay across all U.S. locations and may span more than one career level. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.

The U.S. national starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan.$138,000—$214,000 USD

Where You’ll Work

Komodo Health has a hybrid work model; we recognize the power of choice and importance of flexibility for the well-being of both our company and our individual Dragons. Roles may be completely remote based anywhere in the country listed, remote but based in a specific region, or local (commuting distance) to one of our hubs in San Francisco, New York City, or Chicago with remote work options. 

What We Offer

Positions may be eligible for company benefits in accordance with Company policy. We offer a competitive total rewards package including medical, dental and vision coverage along with a broad range of supplemental benefits including 401k Retirement Plan, prepaid legal assistance, and more. We also offer paid time off for vacation, sickness, holiday, and bereavement. We are pleased to be able to provide 100% company-paid life insurance and long-term disability insurance. This information is intended to be a general overview and may be modified by the Company due to business-related factors.

Equal Opportunity Statement

Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. 

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Tags: Agile Biostatistics Consulting Data Analytics Engineering Machine Learning Pipelines PySpark Python R SQL Statistics

Perks/benefits: 401(k) matching Career development Competitive pay Health care Insurance Salary bonus Startup environment

Regions: Remote/Anywhere North America
Country: United States

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