Data Scientist - Statistician

| Greater NYC Area
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About the company

At Covera Health, we have proven that advanced data science can prevent serious misdiagnoses which result in poor outcomes for patients and increased costs for payers. Using our proprietary framework, we help patients recover better, faster, and more affordably. Today, we are working with some of the largest healthcare payers in the country to potentially impact millions of patient lives. We are passionate about improving healthcare for every patient.

 

About the role

We are looking for a talented Data Scientist in statistics to join us in our commitment to improve the quality of care for patients in communities across the nation. It is crucial that you have a PhD in Statistics, Biostatistics, Epidemiology, Applied Math, Economics, Physics or related field. The ideal candidate has a deep understanding of Machine Learning techniques and understands fundamental analytics tools such as generalized linear models, mixed models and longitudinal data analysis. Experience in causal inference methods such as propensity score matching and weighting is a plus.

We are looking for someone to further create, extend, and validate the statistical models to assess and quantify the quality care delivered by healthcare providers. Using these analyses, you will be working with a growing multidisciplinary team of talented data scientists, research radiologists and data engineers to leverage healthcare data to help us understand and predict the impact that quality care has on patients health outcomes and costs. You will have the opportunity to work with an entirely unique healthcare dataset that covers all phases of care delivery (referral, diagnosis, therapy, and outcome/follow-up) from the perspective of various key stakeholders (patients, providers, payers).

You will help characterize, interpret, summarise and share the results achieved in our healthcare research. We encourage creative data analyses and value those who can lead and mentor junior members along the way. You will be expected to:
• Leverage longitudinal claims data to quantify the relationship between healthcare quality and patient health outcomes, costs, and care patterns
• Create, extend, and validate models and methods for causal analysis and outcome prediction
• Collaborate with data science team members and other colleagues on data analysis projects and research activities
• Communicate the results of analysis and research projects to internal and external stakeholders

Requirements

• Ph.D in Statistics, Biostatistics, Epidemiology, Applied Math, Economics, Physics or a related field with a dissertation centered in Machine Learning Techniques

• You have 1+ years of work experience in industry as a Data Scientist 

• Experience with novel Machine Learning approaches (not just Random Forest and Logistic Regression). A strong understanding of GLM, Mixed Models and Longitudinal Data. Exposure to causal inference and related statistical methodologies

• Experience with R and/or Python

• Experience developing code that is leveraged by a wider team and/or contributing to a collaborative code base

• Worked with large datasets (1B+ records)

• Strong communicator with excellent ability to work in a team environment

• Experience working with real world medical data. Experience with claims data is a big plus

 

Benefits

You will be a full-time employee with competitive salary, stock options, and great benefits. These benefits include medical, dental, and vision insurance, FSA, pre-tax commuter benefits, flexible paid time off, and 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 smart, fun, focused, and unique team of people who are truly passionate about changing healthcare for the better! 

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Location

North Tribeca has incredible food options and our office is a five minute walk to the West Village and Soho!

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