Responsibilities
* 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.
Note: The following sections provide role specifications and do not include extraneous external content.
Qualifications
* Bachelor's degree in Computer Science, Data Science, or a related field.
* 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.
* Familiarity with AI and machine learning concepts, and a willingness to learn and apply them in a healthcare context. At least 6 Months experience working with Gen AI.
* Excellent communication and interpersonal skills.
* Proven ability to work in a collaborative team environment.
* Prior Experience in healthcare or insurance field.
Seniority level
* Entry level
Employment type
* Contract
Job function
* Information Technology
Industries
* Hospitals and Health Care
* Insurance
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