About the company
At Covera, we're committed to ensuring high-quality healthcare is more than just a promise. That's why we're leading the way in the emerging science of quality, and connecting providers and payers in their shared quest to improve patient outcomes and care quality. By tackling this challenge, we have the ability to impact millions of lives by raising the standard of care nationwide.
Our initial focus is radiology, where an early and accurate diagnosis has a profound impact on the rest of a patient's care journey. Through our work, which uses clinically-validated science-based tools, we're helping doctors enhance their care, ensuring patients get the right diagnosis, and enabling the healthcare system to support quality improvement at scale.
Through our clinical intelligence platform, we have launched programs that help people access the most effective care and provide doctors with AI-powered quality insights and tools to enhance their care. Today, Covera is partnered with leading employers, payers and healthcare organizations across the US, including Walmart and Microsoft. And, with a pipeline representing over 25% of insured Americans, we are in the early stages of improving care quality for all patients across the globe.
In November 2023, Covera secured up to $50 million in a Series C extension led by Insight Partners. This capital fuels our mission to partner with healthcare providers, payers and employers to improve diagnostic care for patients everywhere.
About the role
We are looking for a talented Data Scientist III with a strong foundation in programming (R/Spark/SQL/Python) and extensive experience with claims data analysis to join our mission of improving patient care quality in communities nationwide. In this role, you will collaborate with our skilled team of statisticians, economists, and data scientists on our Causal Inference team, which is dedicated to rigorously evaluating the impact of our products and programs through advanced analysis of medical claims data. Your role will encompass a wide range of data processing and healthcare data analysis responsibilities, with a primary focus on developing, managing and optimizing the team’s data pipeline and codebase. This pipeline is crucial for generating modeling-ready datasets, performing statistical modeling, and producing quarterly business reports – all while ensuring efficiency, reproducibility and scalability. In your role you will also conduct exploratory data analysis, contribute to advanced causal inference modeling under the guidance of our team’s experts, and execute high-impact business analytics.
In this role, you will be expected to:
- Process and Analyze Healthcare Data: Work with various types of healthcare data, including longitudinal claims data, to help teams quantify the relationships between healthcare quality and patient outcomes, such as cost, clinical outcomes, and care patterns.
- Maintain and Optimize Data Pipelines: Develop, run, and enhance data science and data engineering pipelines that create modeling datasets; run statistical models; and produce quarterly business reports.
- Improve and Troubleshoot Codebase: Review and optimize the team’s data ETL and statistical code, both legacy and in development, to enhance runtime and memory efficiency, ensure reproducibility, and support automation and scalability. Troubleshoot technical issues as they arise, working with the engineering team as needed for support.
- Conduct Ad-Hoc Analyses: Conduct ad-hoc analyses (e.g. of claims data) as business needs arise in a fast-paced environment to uncover business and clinical insights and support Covera Health’s strategy and decision-making.
- Advanced Statistical Modeling: Conduct advanced statistical modeling of claims data under the supervision of the team’s experts, utilizing methods like Generalized Linear Models, Matching for Causal Inference, and Difference-in-Differences. Apply statistical models and methods developed by the data science team to quantify program savings and ROI.
- Prepare and Communicate Insights: Assist in preparing documentation and presentation materials for client meetings and key deliverables, and effectively communicate analytical results to both internal and external stakeholders.
- Collaborate: Work closely with data science team members and other colleagues across Covera on data analysis requests, projects, and research initiatives.
Your profile:
- Educational Background: M.S. or B.S. in Computer Science, Statistics, Biostatistics, Economics, Data Science, Applied Mathematics, or a related field.
- Experience: At least 2 years of experience for M.S. degree holders, or 5 years for B.S. degree holders.
- Technical and Coding Skills:
- Strong foundation in data engineering and coding best practices, with expertise in R, Spark (specifically sparklyr), SQL, and Python for data science. Exceptional skills in R and sparklyr are required.
- Experience developing scalable code for use by a wider team and contributing to a collaborative codebase.
- Proven ability to troubleshoot code, technical issues, and data pipelines effectively.
- Healthcare Data Expertise: Strong understanding of, and experience working with, real-world medical and claims data, including familiarity with ICD codes, CPT codes, CMS-HCC models, and comorbidity coding.
- Data Science Knowledge: Experience with fundamental data science models, including Generalized Linear Models (GLM), Mixed Models and longitudinal data analysis.
- Collaborative Spirit: Proven ability and enthusiasm for working in a collaborative team environment, paired with a proactive, go-getter attitude.
- Eagerness to Learn: Willingness to learn new techniques and tackle diverse data science challenges at the intersection of healthcare and analytics.
- Causal Inference: Experience with (or enthusiasm to learn) causal inference methodologies, such as propensity score matching and difference-in- differences, is a plus.
- Industry Experience: Preferred experience working with payor organizations, healthcare consulting, and/or fast-paced, client-facing environments.
Benefits
You will be a full-time employee with a competitive salary, stock options, and great benefits. These benefits include medical, dental, and vision insurance, HRA, 401k, pre-tax commuter benefits, flexible paid time off, and a comfortable office space filled with various quality snacks and beverages. Most importantly, you’ll get to know each of us and we love to work together to find solutions. We are a talented, fun, focused, and unique team of people who are truly passionate about changing healthcare for the better! Even while remote, you'll experience the Covera culture as we offer a host of virtual experiences including a book club, fitness club, guest speakers, dynamic Slack channels, and more!
The minimum and maximum salary for this position ranges from $105,000 to $120,000, in addition to a discretionary bonus and comprehensive benefits package. Final salary will be based on a number of factors including but not limited to, a candidate’s qualifications, skills, competencies, experience, expertise and location.
At Covera Health, we strive to build diverse teams that reflect the people we want to empower through our technology. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Covera Health is proud to be an equal-opportunity workplace and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know.
Top Skills
What We Do
Covera Health believes in a world without misdiagnoses, where every patient receives the best opportunity to recover and lead a healthy life. And we’re the team solving this problem every single day for millions of patients across the country.
Covera Health is transforming how quality health care is measured and delivered. We’re starting in radiology where the wrong diagnosis can lead to a cascade effect of misguided care, enormous patient harm and, for some, a missed opportunity for recovery. An early and accurate diagnosis is the patient’s best chance to get better.
Our first product uses a proprietary framework that leverages advanced data science and artificial intelligence to help patients receive an accurate diagnosis.
Today, we are already working with some of the largest healthcare payers in the country to impact millions of patient lives. With a pipeline representing 25% of the insured lives in the US, the opportunity to transform radiology and, in turn, improve patient care for all patients across the globe is in front of us.
Why Work With Us
We are a people-first company, focused on creating an impactful daily work experience that enables our team to come together to improve patient lives across the country. We support our employees across all facets of their life by building a passionate community that fosters collaboration, celebrates wins, and supports a healthy work/life balance.
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