Data Scientist - BMTCT

$86,320 - $154,960/Yr

St. Jude Children's Research Hospital - Memphis, TN

Full-time - Mid Level

Memphis, TN

Hospitals

About the position

The Data Scientist role at St. Jude Children's Research Hospital is pivotal in addressing the analytics needs of the Bone Marrow Transplant and Cell Therapy (BMTCT) program. This position leverages advanced data analytics and statistical modeling to optimize patient outcomes and enhance operational efficiency. The Data Scientist will collaborate with various departments to extract insights from data, develop machine learning models, and communicate findings effectively to stakeholders, including executive leadership teams.

Responsibilities

• Conduct exploratory and advanced data analysis to extract actionable insights.
• Develop and implement statistical models for predictive and prescriptive analytics.
• Create visualizations to communicate complex findings effectively.
• Utilize advanced statistical techniques and machine learning algorithms to analyze large datasets related to oncology, epidemiology, infectious diseases, and pediatric immuno-oncology.
• Design, build, and optimize end-to-end data architectures and pipelines.
• Implement scalable ETL (Extract, Transform, Load) processes for data integration.
• Utilize programming languages such as Python, Java, or Scala for data engineering tasks.
• Collect, clean, and preprocess data from various sources, ensuring data quality and reliability.
• Integrate and consolidate disparate data sets for comprehensive analysis.
• Conduct exploratory data analysis to understand the patterns, trends, and distributions within the data.
• Create visually compelling and informative dashboards and reports to communicate complex findings to stakeholders.
• Design, build, and optimize machine learning models for various applications.
• Evaluate model performance using appropriate metrics and validation techniques.
• Apply predictive analytics to forecast trends, behaviors, or outcomes based on historical data.
• Work closely with data scientists, business analysts, and other team members to understand data requirements and contribute to data-driven decision-making.
• Implement data quality checks to ensure accuracy and reliability of analytics results.
• Utilize big data technologies such as Hadoop, Spark, and Kafka for large-scale data processing.
• Stay updated on industry best practices, emerging trends, and advancements in both data analytics and data engineering.

Requirements

• Master's degree in Statistics/Mathematics/Business Analytics or related fields is required.
• Four (4) years of experience in data analytics/reporting required, with at least two (2) of those years of experience in an exclusive data science role.
• Two (2) years in a data scientist role required with a doctoral degree (PhD).
• Clinical/Health Care domain experience preferred.
• Must possess implementation experience of data science solutions using R/Python/Scala, Matlab, RapidMiner, SAS, Spark, Excel or related technologies.

Nice-to-haves

• R/Python/Data Scientist/Azure/SQL or other related certifications Preferred.
• EPIC Caboodle certification is Preferred or must be obtained within one year of employment.

Benefits

• Competitive salary range of $86,320 - $154,960 per year.
• Diversity, Equity, and Inclusion initiatives.
• Opportunities for professional development and continuous learning.