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- Tasks: Design and implement data pipelines for healthcare, integrating diverse datasets and developing AI solutions.
- Company: Join a forward-thinking company at the forefront of AI in healthcare.
- Benefits: Enjoy fully remote work, flexible hours, and opportunities for professional growth.
- Why this job: Be part of an innovative team making a real impact in healthcare through AI technology.
- Qualifications: Bachelor's degree in a relevant field and 6 months experience with Gen AI required.
- Other info: Ideal for tech-savvy individuals passionate about healthcare and AI advancements.
The predicted salary is between 43200 - 72000 £ per year.
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.
Contact Detail:
InterEx Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gen AI Consultant (City of London)
✨Tip Number 1
Network with professionals in the healthcare and AI sectors. Attend industry events, webinars, or meetups to connect with potential colleagues and learn about the latest trends. This can help you gain insights into what companies like us at StudySmarter are looking for in a Gen AI Consultant.
✨Tip Number 2
Familiarise yourself with the specific tools and technologies we use at StudySmarter. Research common data engineering frameworks and AI integration methods in healthcare. Being knowledgeable about these can give you an edge during discussions with our team.
✨Tip Number 3
Prepare to discuss your previous experiences in data engineering and AI applications. Think of specific projects where you successfully implemented ETL processes or collaborated on AI solutions. Sharing these examples can demonstrate your hands-on expertise and fit for the role.
✨Tip Number 4
Stay updated on the latest advancements in genomics and AI technologies. Follow relevant blogs, podcasts, or research papers. Showing that you're proactive about learning can impress us and highlight your commitment to innovation in the healthcare field.
We think you need these skills to ace Gen AI Consultant (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and AI integration, especially any work related to healthcare. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about using AI in healthcare. Mention specific projects or experiences that showcase your skills in data pipelines and collaboration with cross-functional teams.
Showcase Relevant Skills: Clearly outline your technical skills, particularly in ETL processes, SQL, and any familiarity with genomics or machine learning. Provide examples of how you've applied these skills in previous roles.
Highlight Continuous Learning: Mention any recent courses, certifications, or self-study related to AI and healthcare. This shows your commitment to staying updated with industry advancements and your willingness to learn.
How to prepare for a job interview at InterEx Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data engineering, particularly ETL processes and database management. Highlight specific projects where you've successfully implemented these skills, especially in a healthcare context.
✨Demonstrate Your Knowledge of AI in Healthcare
Familiarise yourself with the latest advancements in AI and genomics as they relate to healthcare. Be ready to discuss how you can apply these technologies to solve real-world problems in the industry.
✨Prepare for Collaborative Scenarios
Since the role involves working with cross-functional teams, think of examples that showcase your teamwork and communication skills. Be ready to explain how you’ve collaborated with data scientists or machine learning engineers in the past.
✨Stay Updated on Industry Standards
Research current healthcare industry standards and regulations. Being knowledgeable about data interoperability will demonstrate your commitment to maintaining data quality and security, which is crucial for this role.
