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    Principal Data Scientist - Philadelphia, United States - Veradigm

    Veradigm
    Veradigm Philadelphia, United States

    3 weeks ago

    Default job background
    Full time
    Description
    Welcome to Veradigm Our Mission is to be the most trusted provider of innovative solutions that empower all stakeholders across the healthcare continuum to deliver world-class outcomes. Our Vision is a Connected Community of Health that spans continents and borders. With the largest community of clients in healthcare, Veradigm is able to deliver an integrated platform of clinical, financial, connectivity and information solutions to facilitate enhanced collaboration and exchange of critical patient information.

    Veradigm Payer

    Veradigm understands that managed care organizations, pharmacy benefit managers (PBMs), insurance companies, health plans, and other payers need to balance controlling costs with the goal of providing the highest quality of care and optimizing health outcomes for their members.

    Solutions from Veradigm Payers:
    • Deliver insights to drive quality outcomes cost-effectively
    • Improve efficiency for themselves, their providers, and their members through high-speed clinical data exchange
    • Impact point-of-care decision making positively by integrating payer guidance and prior authorization management directly in each healthcare provider's existing workflow
    Position Description

    The Principal Data Scientist will lead the cultivation and expansion of an analytic culture of product development and evaluation that is best-in-class in Veradigm Payer markets. This spans the lead in designing and building explanatory, predictive, and evaluative models of health care behavior, utilization, and outcomes for the Veradigm Payer suite of solutions. This person will partner with Chief Data Scientist, executive team, and product subject-matter-experts (SMEs) in developing business and analytic requirements that reflect methodologically sound and appropriate research designs for hypothesis testing, sampling, handling of data anomalies (e.g., outliers, missing data), mining and model building that embody current best practices and will often be suitable for publication to enhance Veradigm Payer's reputation and brand. The PDS will oversee the migration to Azure-based environment to mine, analyze, and model at massive scale and leverage this new environment to improve our analytics' scope, sensitivity, and performance. The successful candidate will demonstrate facility with complex, messy health data, knowledge of the health care sectors in which Veradigm Payer operates, mastery of the research design and appropriate statistical techniques including, but not limited to, machine learning/neural networks, classic multivariate statistics used in health and life sciences, categorical data analysis. What sets apart this role from other senior analytic roles, however, is the need to comfortably and accurately relate the business and its product requirements with the proper analytic approaches and specifics to support them. This person must be as lucid with the business needs as with the analytics to support them, and be able to lead and mentor others to institutionalize these capabilities.

    Position Responsibilities
    • Leads and influences teams whose members are seldom direct-reports.
    • Leads, and as needed, directly develops business cases and requirements for advanced analytics supporting new and enhanced products.
    • Leads discovery process with stakeholders to identify analytic needs, important variables that might affect the desired outcomes
    • Leads or determines the methods needed to meet the business requirements, along with their execution, including (as appropriate given business requirements)
    • Research or evaluative design
    • Sampling design and data management including imputation and use of indirect or proxy measures
    • Analysis design including model contrasting, diagnostics, validation/robustness, goodness of fit, train v test, so on
    • Oversee progress to ensure adherence to the designs, resolve issues identified, advise on evaluation of outliers and missing data, results, diagnostics, and interpretation of findings and limitations.
    • Drive strategy for incorporating analytic result into normal product processing, e.g., creating scoring algorithms derived from models built, especially at data endpoints (point of care, integration with iOT devices/apps, etc.). Ensure proper controls are in place to monitor performance of in-line analytics from both analytic quality and machine performance. Ensure routine collection of performance data for both managerial controls and demonstrating efficacy of the analytics with their intended use.
    • Ensure analytics comply with regulatory and security requirements and with any client data-use restrictions
    • Provides on-going tracking and monitoring of performance decision systems and statistical models
    • Approve the design and deployment of enhancement and fixes to the models as needed
    • Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes
    • Performs analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and mathematical analyses and broad knowledge of the organization and/or industry
    • Collaborates with business partners to understand their problems and goals, develop predictive modeling, statistical analysis, data reports and performance metrics
    • Develops and participates in presentations and consultations to existing and prospective constituents on analytics results and solutions
    • Interacts with internal and external peers and managers to exchange complex information related to areas of specialization
    • Use strong knowledge in algorithms and predictive models to investigate problems, detect patterns and recommend solutions
    • Use strong programming skills to explore, examine and interpret large volumes of data in various forms
    Minimum Essential Knowledge / Skills:
    • Extensive experience in healthcare industry
    • Experience with MA, ACA and/or Medicaid Risk Scoring methodology, including familiarity with condition categories (HCC)
    • Solid knowledge of and experience with statistical techniques including parametric and non-parametric techniques, categorical data analysis, "AI" including neural networks, and other machine learning and predictive modeling techniques. Logistic regression, survival and Bayesian analytics strongly preferred.
    • Strong proficiency in statistical analysis, quantitative analysis, and predictive analytics
    • Experience interacting with large amounts of healthcare data
    • Experience working with clinical classification such as diagnoses (ICD), procedures (HCPCS, CPT) and claims processing
    • Advanced knowledge of statistical package like SAS, SPSS, or STATA
    • Strong competency with data management language (e.g., SQL, Databricks, Snowflake)
    • Proven technical, analytical and problem solving
    • Strong written and verbal communication
    • Professional and interpersonal skills
    • Self-initiative and leadership
    • Ability to work within a team environment
    • Ability to interface with both external and internal personnel at all levels.
    Required Education / Experience:
    • Bachelor's degree in Actuarial Science, Mathematics, Statistics, or in a related field
    • 10+ years of relevant Data Scientist experience
    • 5 + years demonstrated achievement with and mastery of quantitative and qualitative research and analytics experience
    • Solid experience supporting the development of scalable analytic and reporting s
    Desired Skills:
    • Strong skills and experience with Big Data, Cloud-based computing, neural networks
    • Experience using machine learning algorithms
    • Experience programming using R or Python
    • Experience in SAS or SQL
    #LI-Remote

    Enhancing Lives and Building Careers

    Veradigm believes in empowering our associates with the tools and flexibility to bring the best version of themselves to work and to further their professional development. Together, we are In the Network. Interested in learning more?

    Take a look at our Culture, Benefits, Early Talent Program, and Additional Openings.

    We strongly advocate that our associates receive all CDC recommended vaccinations in prevention of COVID-19.

    Visa Sponsorship is not offered for this position.

    Veradigm' policy is to provide equal employment opportunity and affirmative action in all of its employment practices without regard to race, color, religion, sex, national origin, ancestry, marital status, protected veteran status, age, individuals with disabilities, sexual orientation or gender identity or expression or any other legally protected category. Applicants for North American based positions with Veradigm must be legally authorized to work in the United States. Verification of employment eligibility will be required as a condition of hire. Veradigm is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse and inclusive workforce.

    From a "VEVRAA Federal Contractor" We request Priority Referral of Protected Veterans

    This is an official Veradigm Job posting. To avoid identity theft, please only consider applying to jobs posted on our official corporate site.
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