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 August 2021, we raised a $25M Series C financing round with Insight Partners, a leading global venture capital and private equity firm investing in high-growth companies driving transformative change in their industries.

About the role

We are looking for a talented Data Scientist with a strong foundation in claims data analysis, applied statistics, and R/Python programming to join us in our commitment to improve the quality of care for patients in communities across the nation. You will be working with a growing multidisciplinary team of talented data scientists, statisticians, business analysts, engineers, and researchers to leverage unique healthcare data including but not limited to radiology claims, medical claims and clinical reports. The datasets will be diverse and wholly distinct and cover all phases of care delivery (referral, diagnosis, therapy, and outcome/follow-up) from the perspective of various key stakeholders (patients, providers and payers). As a member of the team, you will work to perform exploratory data analyses, apply statistical models that power analytics at Covera Health, and conduct high-impact ad-hoc business analytics. We encourage new opportunities to shape our data science strategy, and value those who can lead and mentor junior members along the way.

You will be expected to:

• Leverage a variety of healthcare data, including provider profile data and longitudinal claims data to quantify the relationship between healthcare quality and patient outcomes (e.g. cost, clinical outcomes and care patterns).
• Conduct analyses in a fast-paced environment to support Covera Health leadership’s ad-hoc requests to support business strategy and uncover business and clinical insights.
• Collaborate with data science team members and other Covera colleagues on data analysis projects and research activities.
• Communicate the results of analysis and research projects to internal and external stakeholders.
• Apply models and methods developed by the data science teams, including the causal inference team, to quantify program savings.

Requirements 

• Ph.D., M.S., or B.S. in statistics, biostatistics, data science, healthcare economics, epidemiology, applied mathematics, or a related field.
• At least 1+ years of work experience as a Data Scientist for PhDs, 3+ years of experience for M.S. degree holders, and 5+ years of experience for B.S. degree holders.
• Strong background in Python, R and SQL programming.
• Strong understanding of and experience working with real world medical data and claims data, e.g. ICD codes, CPT codes, CMS-HCC model, comorbidity coding.
• Experience with fundamental data science models, including Generalized Linear Models (GLM), Mixed Models and analysis of longitudinal data.
• Experience developing code that is leveraged by a wider team and/or contributing to a collaborative code base.
• Strong communicator with excellent ability to work in a team environment.
• Previous experience working in consulting and/or fast-paced client-facing environments is preferred.
• Eager to learn new techniques and work at the intersection of healthcare analytics and a wide range of data science problems.
• Experience with or eagerness to learn causal inference and related statistical methodologies, such as propensity score matching and difference in differences, is a plus.

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--when we go back to the office--a comfortable office space filled with a variety of 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 is $130,000 to $140,000.

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.