We are seeking a Healthcare Data Engineer and AI Integration Specialist to join our team. The position is remote and can be either a contract or contract-to-hire role. In this role, you will collaborate with cross-functional teams to design and implement data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes. The successful candidate will also use diverse healthcare datasets to integrate and clean data from various sources to create a unified and reliable data infrastructure.
You will also be responsible for researching and staying abreast of the latest advancements in genomics, healthcare, and AI technologies to enhance our service offerings. A Bachelor's degree in Computer Science, Data Science, or a related field is required. Additionally, the successful candidate will have a strong foundation in data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. Knowledge of healthcare industry standards, regulations, and data interoperability is also required.
Familiarity with AI and machine learning concepts and at least 6 months' experience with Gen AI is a plus but not required. Excellent communication and interpersonal skills and the proven ability to work in a collaborative team environment are also required. Prior experience in healthcare or insurance is a plus.
• Responsibilities:
• Data Engineering:
• Collaborate with cross-functional teams to design and implement data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes.
• Work with diverse healthcare datasets, integrating and cleaning data from various sources to create a unified and reliable data infrastructure.
• Develop and maintain databases, ensuring data quality, integrity, and security.
• AI Integration in Healthcare:
• Assist in the development and implementation of AI solutions tailored to healthcare challenges.
• Collaborate with data scientists and machine learning engineers to deploy models into production environments.
• Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations.
• Research and Innovation:
• Stay abreast of the latest advancements in genomics, healthcare, and AI technologies.
• Contribute to the development of new methodologies and tools to enhance our service offerings.
