Data Scientist, Covera Health
Casual Inference
$120-140k
+ Stock options + Discretionary bonus
Advanced clinical analytics
Job no longer available
Advanced clinical analytics
21-100 employees
Job no longer available
$120-140k
+ Stock options + Discretionary bonus
21-100 employees
Company mission
To aid healthcare providers and payers in a shared quest to better define, measure, and deliver the highest standard of care to patients everywhere.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
Our take
Covera’s study of advanced imaging technology found complex diagnoses to have error rates of 30% or more. Their answer has been to develop powerful AI powered analytics tools to assist radiology providers in improving diagnostic accuracy, thereby reducing patient harm and healthcare expense.
It is a promising area in which to develop and deploy AI tools. Covera benefits from cloud-based access to medical records stretching back over a decade, and millions of associated data points, to refine and train their error recognition software.
Moreover, Covera is tapping into an expanding market. Not only do they serve providers in all 50 US states, they’re specializing in a niche area of a market that is expected to reach just over $80 billion by 2026. Healthcare analytics is expected to revolutionize the field over the next few years, and Covera is positioning itself as a strategically specialized player.
Steph
Company Specialist at Welcome to the Jungle
Insights
-28% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Nov 2023
$25m
SERIES C
Aug 2021
$25m
SERIES C
Total funding: $86m
Company benefits
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Paid Parental Leave
- Unlimited Wellness Days
- Health Reimbursement Account
- Home, Office & In-Between
- Home Office Stipend
- Pre-Tax Commuter Benefits
- Discounted Citibike Membership
- High-Rise Offices with Lots of Light
- Cold Brew & Beer On Tap
- Fully Stocked Kitchen & Snacks
- Retirement & Development
- Fee-Free 401(k) Plan
- Annual Stipend for Personal Development
Company HQ
Hudson Square, New York, NY
Leadership
Ron Vianu
(CEO & Founder)After studying at New York University, Ron founded Park East Medical where he worked for 3 years, before serving as CEO of Transcion for 9 years. Having founded Spreemo Health in 2010, he used this experience to found Covera Health in September 2017, serving as CEO since.
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