Newborn Screening Data & Analytics Lead

Arizona Department of Health Services; Phoenix (AZ); Hybrid; USD 68,000 - 92,000; Full time

Benefits offered by this job

ADHS Student Loan Assistance Program

Hybrid work schedules

Flexible hours

Job summary

The Arizona Department of Health Services seeks a Newborn Screening Data Manager to oversee data management for the Newborn Screening Program in Phoenix. You will ensure accurate capture, analysis, and reporting of large clinical data sets, optimize laboratory cutoff values, and build data frameworks to evaluate program performance.

You will serve as a subject matter expert on data-related issues, lead quantitative evaluations, and translate complex outcomes into clear public information.

Qualifications

• Bachelor's degree in a related field with 5 years of work experience in statistics, data management and molecular biology, biochemistry or related fields.
• A Master's degree will substitute for 2 years of work experience.

Responsibilities

• Plan, design, and execute complex quantitative and qualitative program performance evaluations.
• Develop, implement, evaluate and document data analysis methodologies and workflows.
• Manage and direct subordinate staff, assign work, hire, and evaluate performance.
• Design and prepare reports in response to requests for data and technical assistance.
• Coordinate database system upgrades and other modifications with IT and vendors.
• Other duties as assigned related to the position

Skills

Statistical analysis

Database design

Data visualization

Staff supervision

LIMS knowledge

SQL

Tableau/Power BI

Education

Bachelor's degree in a related field

Master's degree substitution for 2 years of experience

Tools

SAS

SPSS

SQL

Tableau

Power BI

Excel

Job description

The Arizona Department of Health Services seeks a Newborn Screening Data Manager to oversee data management for the Newborn Screening Program in Phoenix. You will ensure accurate capture, analysis, and reporting of large clinical data sets, optimize laboratory cutoff values, and build data frameworks to evaluate program performance.

You will serve as a subject matter expert on data-related issues, lead quantitative evaluations, and translate complex outcomes into clear public information.