Lyric, formerly ClaimsXten, is a leading healthcare technology company, committed to simplifying the business of care. Over 30 years of experience, dedicated teams, and top technology help deliver more than $14 billion of annual savings to our many loyal and valued customers—including 9 of the top 10 payers across the country. Lyric’s solutions leverage the power of machine learning, AI, and predictive analytics to empower health plan payers with pathways to increased accuracy and efficiency, while maximizing value and savings. Lyric’s strong relationships as a trusted ally to customers resulted in recognition from KLAS as “true partner” and “excellent value for investment,” with a top score for overall customer satisfaction and A+ likelihood to recommend in their October 2023 Payment Integrity and Accuracy Report. Discover more at Lyric.ai.
Applicants must already be legally authorized to work in the U.S. Visa sponsorship/sponsorship assumption and other immigration support are not available for this position.
Job Summary:
The Clinical Data Analyst - Staff plays a pivotal role in advancing our products and services by shaping solution design and supporting strategic decision-making. This individual collaborates closely with engineers, clinical experts, payment professionals, and business operations leaders to develop reporting and analyze large-scale healthcare claims and clinical datasets. By leveraging advanced coding, analytic reporting, and predictive modeling, the Clinical Data Analyst - Staff uncovers actionable insights that drive innovation and improve outcomes across the organization.
Job Responsibilities:
Work cross functionally to identify opportunities for leveraging company data to drive business solutions
Mine and analyze data from healthcare claim databases to drive optimization and improvement of product development, sales, marketing techniques and business strategies
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Develop custom complex SQL queries and algorithms to apply to data sets
Use predictive modeling to support business reporting and decision making
Coordinate with different functional teams to implement models and monitor outcomes
Develop processes to monitor and analyze model performance and accuracy of results
Required Qualifications:
5+ years experience manipulating data sets and building statistical models through SQL
5+ years experience with advanced level SQL coding & query optimization
3+ years experience with healthcare data and standard UB/HCFA claim fields
Experience with data in Snowflake on Cloud Platforms
Experience using statistical computer languages (SQL, Python, R) to manipulate data and generate insights from large data sets
Experience working in project management tools (Jira, Confluence) employing proficiency in time management abilities
Preferred Qualifications:
Strong problem-solving skills with an emphasis on product development
Excellent written and verbal communication skills for coordinating across teams
Experience using data science packages such as NumPy, Pandas, Scikit-Learn
Drive to learn and master new technologies and techniques
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
Experience in analytic reporting and dashboard development (PowerBI, Tableau, Sigma)
***The US base salary range for this full-time position is:
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. Please note that the compensation details listed in US role postings reflect the base salary only, and does not reflect the value of the total rewards compensation. ***
Lyric is an Equal Opportunity Employer that strives to create an inclusive environment, empower employees and embrace collaborative success.
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