
Gen AI Consultant
Department:Administrative
Type:REMOTE
Region:UK
Location:London Area, United Kingdom
Experience:Entry level
Estimated Salary:£45,000 - £65,000
Skills:
DATA ENGINEERINGETLSQLDATABASE MANAGEMENTDATA MODELINGAIMACHINE LEARNINGGENOMICSHEALTHCARE DATADATA PIPELINES
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Job Description
Posted on: February 3, 2026
Job Title: Gen AI Consultant
Location: Fully Remote
Job Type: Contract/Contract-to-hire
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.
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.
Originally posted on LinkedIn
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