Perform statistical analyses on large healthcare datasets.
Develop risk algorithms, predictive models, and statistical methodologies.
Ensure data integrity and optimize ETL processes for medical databases.
Write and optimize SQL queries for data retrieval.
Create visualizations and reports for stakeholders.
Collaborate with engineers, analysts, and healthcare professionals on data strategy.
Requirements:
Master's degree or higher in Statistics, Data Science, or a related field.
5+ years of experience in healthcare-focused statistical analysis.
Proficiency in MS SQL, R, SAS, or Python.
Preferred: Familiarity with healthcare regulations and big data tools (e.g., Hadoop, Spark).
Skills: Strong problem-solving, attention to detail, and communication abilities.
Desired Skills and Experience Seeking a Medical Big Data Statistician to analyze healthcare datasets, develop predictive models, and deliver actionable insights. This role requires expertise in statistical methodologies, SQL, and data visualization to support clinical and business decisions
All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.