Data Scientist IV, Biostatistics

Key Skills

Biostatistics, Data Analytics, Data science techniques, Data Visualization, Leadership Skill, Machine learning techniques, Microsoft-Excel, Public Health, R Programming, SAS, SQL, Statistics, Tableau

Job Description

• Completes work assignments autonomously and supports business-specific projects by applying expertise in subject area and business knowledge to generate creative solutions; encourages team members to adapt to and follow all procedures and policies. Collaborates cross-functionally and/or externally to achieve effective business decisions; provides recommendations and solves complex problems; escalates high-priority issues or risks, as appropriate; monitors progress and results. Supports the development of work plans to meet business priorities and deadlines; identifies resources to accomplish priorities and deadlines. Identifies, speaks up, and capitalizes on improvement opportunities across teams; uses influence to guide others and engages stakeholders to achieve appropriate solutions.

• Develops detailed problem statements outlining hypotheses and their effect on target clients/customers by defining scope, objectives, outcome statements and metrics.

• Designs and develops data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats by transforming, cleansing, and storing data for consumption by downstream processes; writing and optimizing diverse SQL queries; and demonstrating advanced knowledge of database fundamentals.

• Analyzes and investigates complex data sets and summarizes key characteristics by employing data visualization methods; and determining how best to manipulate data sources to discover patterns, spot anomalies, test hypotheses, and/or check assumptions.

• Selects, manipulates, and transforms data into features used in machine learning algorithms by leveraging techniques to conduct dimensionality reduction, feature importance, and feature selection.

• Trains statistical models by using algorithms and data mining techniques; testing models with various algorithms to assess the input dataset and related features; and applying techniques to prevent overfitting such as cross-validation.

• Deploys and maintains reliable and efficient models through production.

• Verifies model performance by demonstrating expertise in the practice of a variety of model validation techniques to assess and discriminate the goodness of model fit; and leveraging feedback and output to manage and strengthen model performance.

• Collaborates with internal and external stakeholders across domains to develop and deliver statistical driven outcomes by delivering insights and values from heterogeneous data to investigate complex problems for multiple use cases; driving informed decision-making; and presenting findings to both technical and non-technical audiences.

Minimum Qualifications:

• Minimum three (3) years medical or health analytics experience.
• Minimum three (3) years statistical modeling experience using SAS, R, or another advanced statistical package.
• Masters degree in Biostatistics, Statistics, Public Health, Data Science, or related field OR Minimum five (5) years medical or health analytics experience.
• Minimum three (3) years experience working with Exploratory Data Analysis (EDA) and visualization methods.
• Minimum three (3) years machine learning and/or algorithmic experience.
• Minimum three (3) years statistical analysis and modeling experience.
• Minimum three (3) years programming experience.
• Minimum one (1) year experience in a leadership role with or without direct reports.
• Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field AND Minimum five (5) years experience in data science or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement. Advanced degrees may be substituted for the work experience requirements.

Preferred Qualifications:

• One (1) or more publications as an author in a medical or scientific journal.
• One (1) year healthcare experience.
• Two (2) years experience delivering presentations to management.
• Two (2) years project management experience.
• Two (2) years experience working in a matrixed organization.
• Three (3) years experience working with SQL.
• Three (3) years experience working with SAS.
• Three (3) years experience working with Excel.
• Three (3) years experience working with Tableau.
• Master's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field.
• One (1) year experience working in big data or data engineering.
• Three (3) years study design experience.
• Two (2) years years experience working with search and information retrieval.