Staff Software Engineer, Healthcare Analytics & Dashboards

Cardinal Health; Washington (District of Columbia); On-site; USD 95,000 - 136,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Paid time off plan

401k savings plan

HSA

Job summary

Cardinal Health is seeking a BioPharma Reporting & Specialty Analytics engineer to build analytic products from clinical data across EMR, PMS and PDS. You will deliver reports and dashboards, enrich data, and help define new products for pharmaceutical data initiatives.

The role requires 4–8 years of experience, a related bachelor’s degree, and strong communication skills. Experience with Python, SQL, and data visualization is essential for success in a fast-paced, cloud-based environment.

Qualifications

• 4–8 years of experience in analytics engineering or related role.
• Bachelor's degree in related field or equivalent work experience.
• Strong interpersonal and communication skills and solid work ethic.

Responsibilities

• Building analytic products from clinical data sources across EMR, PMS, and PDS.
• Creating reports and dashboards to drive efficacy and usage of clinical products.
• Enriching data elements from reference sources to enhance analytic offerings.
• Developing and defining new products to enable pharmaceutical data initiatives.
• Supporting and building Sales enablement tools to provide feasibility requests to manufacturers.
• Daily operations and support.

Skills

Python programming

SQL databases

Data visualization

Communication

Education

Bachelor's degree in related field

Tools

SSIS

Airflow

Tableau

GCP

Kubernetes

Job description

Cardinal Health is seeking a BioPharma Reporting & Specialty Analytics engineer to build analytic products from clinical data across EMR, PMS and PDS. You will deliver reports and dashboards, enrich data, and help define new products for pharmaceutical data initiatives.

The role requires 4–8 years of experience, a related bachelor’s degree, and strong communication skills. Experience with Python, SQL, and data visualization is essential for success in a fast-paced, cloud-based environment.