Database Developer for Healthcare Insights

7 days ago


Hartford, Connecticut, United States American Heart Association Full time

**Overview**
As a leading force in cardiovascular health, the American Heart Association invites you to join its team of innovators shaping the future of healthcare. With a century-long commitment to advancing heart health, we seek a skilled Database Developer to drive insights and inform data-driven decisions.

The selected candidate will be part of our National Center office, with flexibility in location to facilitate efficient travel. This full-time, grant-funded opportunity is available through June 30, 2028. As a key member of our Health Care by Food (HCxF) Food Is Medicine research initiative, you will contribute to developing an accessible clinical trial database design. Your expertise will help analyze data inquiry needs, ensure information security, and organize layout for optimal user interface and access by scientists and researchers.

We require someone who can integrate data from diverse sources, including clinical, claims, patient-reported survey data, and food vendors. The Database Designer will be responsible for building and ensuring adherence to data management and data access policies, standards, and procedures. You will have access to our corporate university, Heart U, as well as additional training and support to enhance your skills and maintain work-life harmony.

At the American Heart Association, our company culture, The AHA Life, reflects our diversity, equity & inclusion, focus on work-life harmonization, and guiding values. We are committed to creating a shared impact across a diverse set of backgrounds.

Responsibilities
  • Identify, establish, and recommend data mapping and design to standardize and harmonize large clinical datasets from multiple American Heart Association clinical trials, research studies, and registries, as well as other large external datasets.
  • Design, document, and develop user interfaces, data integration, definitions, and data dictionaries.
  • Collaborate with subject matter experts in clinical data and research, and external entities such as Amazon Web Services and Electronic Health Record instances like EPIC.
  • Assist in developing SQL databases, query requirements, data management protocols; establish customized data dashboards for large clinical datasets in AWS or other cloud-based server environments.
  • Develop and document overall project designs for publication or scientific meetings.
  • Set up requirements on data format and labeling, meta-data generation, and other data project documentation processes.
  • Develop and implement guidelines to manage data storage.
  • Design and follow data security best practices in data storage, transfer, sharing, and reporting that is HIPAA compliant.
  • Plan for data disposition and develop a plan for subsequent public access.
  • Implement data de-identification techniques and tools.
  • Develop guidelines for presentation to individual research teams for data analytics workflows, including data intake and handoff.
  • Audit services to ensure consistency and compliance.
  • Provide or facilitate training on use of claims and/or clinical trial data as needed.
  • Create visual and tabular representations of data using PowerPoint, Excel, Word, or statistical software like SAS, R, Python, or STATA.
Requirements
  • Bachelor's degree or higher in Information Technology – Database Design, Applied Math, Computational Science, Health Informatics, Economics, Statistics, or a related technical field, or equivalent work experience. A Master's degree is preferred.
  • Minimum three years of experience with database design, development, data mapping, statistical reporting, Electronic Health Data wrangling, Claims data analysis, or related areas.
  • Minimum two years of experience with real-world clinical data, including claims data processing, clinical data management, and regulatory requirements for data use.
  • In-depth knowledge of cloud-based architecture and health-focused data server management/configuration; AWS or other cloud-based health data server background preferred.
  • Proficiency in R, SAS, and/or Python, Jupyter Notebooks, SQL.
  • Highly effective organizational skills, communication skills, time management, responsibility, and motivation.
Compensation and Benefits

We offer a competitive compensation package, with an estimated salary range of $85,000-$93,000, commensurate with experience. Geographic differentials may apply. Our total rewards package includes:

  • Competitive base salary.
  • Performance and recognition programs based on job type.
  • A wide array of benefits, including medical, dental, vision, disability, and life insurance, as well as a robust retirement program with employer match and automatic contribution.
  • An employee assistance program, employee wellness program, telemedicine, and medical consultation.
  • Tuition assistance for further education and career development.


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