Lead Scientist

Location: Albuquerque, NM
Date Posted: 03-01-2018
Lead Scientist – Hospital System
Albuquerque, NM 

Scientist Job Summary:
  • Identify new opportunities for innovative analytics (i.e., descriptive, prescriptive and predictive) based on market developments & business demands as well as manage analytical projects in concert with other Directors within the Analytics Organization.
  • Collaborate across the organization to perform exploration and experimentation to build prototypes and develop analytical solutions best practices.
  • Guide the development of new analytical models to support real time and data driven business decision making.
  • Responsible for mentoring and supporting fellow junior scientist as well as assisting senior leadership in evaluation, development and implementation of cutting edge reporting/research/analytics generating actionable insights to meet the organization’s needs.
Scientist Background:
  • Bachelor’s degree in an econometrics, physics, biostatistics, computer science, applied mathematics, engineering or any other related subject area. Masters or Ph.D. is preferred.
  • 8+ years of related business intelligence, statistical/mathematical, predictive modeling along with the business strategy experience required.
  • Understanding of natural language processing, machine learning, conceptual modelling and hypothesis testing.
  • Experience managing complex healthcare projects with diverse teams and developing data driven and outcome-based strategies to improve business decision making and operational efficiencies.
  • Strong knowledge of healthcare industry and healthcare information standards such as HL7, LOINC, FHIR, ICD 9/10 and CPT codes, industry standard groupers (e.g., ETGs, DRGs, DCGs, etc.) as well as demonstrated understanding of health care delivery system processes.
  • Experience in big data technologies such as Hadoop, Spark, Kafka, Storm, R, Python, SQL, no-SQL databases, database analytics and graph databases is a PLUS.
  • Adept in using BI tools (e.g., Business Objects/BO, Cognos), data visualizations tools (e.g., Tableau), statistical software such as SAS and general health service research and reporting/analytics.
  • Understanding of extract transform and loading (ETL), data cleaning, data normalization/mapping and business process management (BPM) is expected.
  • Expertise in mathematical modeling skills including but not limited to classification, regression, survival analysis, recommender systems, experimentation systems (A/B testing), hypothesis testing and developing mathematical algorithms.

CareNational Healthcare Services
602-362-0275 (CALL – TEXT – FAX)
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