Statistical Programmer – QHS Arizona Campus (Remote)

Mayo Clinic • Scottsdale, AZ

2d • Remote

About The Position

Maintains an effective collaborative relationship with project team members. Supports project team needs under the direction of project leads. Applies knowledge and techniques in data management (e.g., data integrity and preparation), programming (e.g., data manipulation), statistics and/or bioinformatics (e.g., data analysis and summarization), and workflow management to accomplish research tasks. Familiarity with programming languages and techniques is required. Seeks educational opportunities and shares knowledge within teams to enhance professional development.

Requirements

• A minimum of a bachelor's degree with a major in statistics, biostatistics, bioinformatics, mathematics, computer science, data science, or quantitative degree relevant to the current needs.
• Some experience or coursework in computer programming or statistical software (e.g., SAS, R, Python) for data management and statistical and/or bioinformatics analysis is preferred.
• Applicable skills include organization, documentation, written and oral communication.
• A commitment to customer service with an attitude of owning the experience of each customer is required.
• Will be expected to work independently and in a team environment.
• Must be a U.S. citizen, permanent resident, refugee or asylee.

Nice To Haves

• Other beneficial attributes include logical and systematic thinking, basic knowledge of human physiology and/or medical terminology, and inquisitiveness.
• GPA of 3.0 or greater is preferred.
• Specific skills include the ability to build Rshiny dashboards, create RedCaps, and use of SQL to retrieve and manage data from multiple sources and formats.

Responsibilities

• Maintains an effective collaborative relationship with project team members.
• Supports project team needs under the direction of project leads.
• Applies knowledge and techniques in data management (e.g., data integrity and preparation), programming (e.g., data manipulation), statistics and/or bioinformatics (e.g., data analysis and summarization), and workflow management to accomplish research tasks.
• Seeks educational opportunities and shares knowledge within teams to enhance professional development.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level