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
This role is critical to designing and implementing data processing and analysis programming pipelines for Life Science/HEOR/RWE research studies utilizing the Komodo Healthcare Map.
Looking back on your first 12 months at Komodo Health, you will have…
- Develop programming pipeline to perform large-scale data extraction, transformation, and validations to facilitate high-quality HEOR/RWE studies using SQL
- Implement and execute analytic plans for observational research studies using Komodo data
- Perform complex statistical modeling in a programming language such as R/Python/SAS
- Take ownership of the analysis pipeline to generate results, and ensure that results align with study objectives and statistical approaches in the research protocol
- Present interim and final results internally for review by stakeholders, incorporate feedback to the analysis pipeline and iterate on analytic plans as needed.
- Create final deliverables in industry standard to share with external clients
- Design and implement standardized programs for reproducible research.
You will accomplish these outcomes through the following responsibilities…
- Collaborate with cross-functional teams to design and execute observational research studies.
- Write efficient, well-documented SQL queries to extract, transform, and analyze large volumes of healthcare data, implementing descriptive summary, statistical analysis, and data visualization for HEOR/RWE projects
- Validate analysis results, troubleshoot issues, and iterate on analytic approaches to ensure alignment with research protocols and study objectives
- Implement best practices in reproducible research, including version control, documentation, and standardized programming workflows, while contributing to publications, conference presentations, and internal knowledge sharing
What you bring to Komodo Health:
- Background/education in Statistics, Biostatistics, Data Science, Public Health, Epidemiology, or other relevant disciplines is preferred.
- At least three years of industry experience working with large-scale databases using SQL (data query, data cleaning, data transformation).
- Experience working with a large healthcare database (preferably administrative claims or EHR).
- Experience working in a research team collaborating with subject-matter experts on epidemiological research studies.
- Basic understanding of concepts used in epidemiological study design.
- Experience performing statistical analysis (descriptive analytics, regression, hypothesis testing, and visualization).
- Proficient in implementing statistical methods in programming languages such as R/Python/SAS.
- Willingness to learn new tools and methods in order to deliver best-in-class results.
Considered as a plus:
- Advanced SQL skills, familiar with frameworks such as dbt
- Familiar with standard programming practices such as version control and git.
- Extensive knowledge of epidemiological study design.
- Advanced knowledge in statistical modeling in the healthcare research area: PSM, KM, Cox model.
- Experience working with the healthcare system.
- Published manuscripts using claims data.
- Experience with other programming languages.
#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.
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
This position will 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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