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- Tasks: Design and implement data pipelines for healthcare, ensuring data quality and AI integration.
- Company: Join a forward-thinking company at the forefront of AI in healthcare.
- Benefits: Enjoy fully remote work and flexible contract options.
- Why this job: Be part of innovative projects that make a real impact in healthcare.
- Qualifications: Bachelor's degree in a relevant field and 6 months experience with Gen AI required.
- Other info: Collaborate with experts and stay updated on cutting-edge technologies.
The predicted salary is between 36000 - 60000 £ 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
✨Tip Number 1
Network with professionals in the healthcare and AI sectors. Attend relevant webinars, conferences, or meetups to connect with industry experts and learn about potential job openings. Engaging with others in the field can provide valuable insights and may lead to referrals.
✨Tip Number 2
Showcase your knowledge of healthcare data standards and regulations during interviews. Familiarise yourself with key concepts like HIPAA and FHIR, as demonstrating this understanding can set you apart from other candidates and show your commitment to the industry.
✨Tip Number 3
Stay updated on the latest trends in AI and genomics by following relevant blogs, podcasts, and research papers. Being well-informed will not only enhance your discussions during interviews but also demonstrate your passion for the field and your proactive approach to learning.
✨Tip Number 4
Prepare to discuss specific projects or experiences where you've successfully implemented data engineering solutions or AI applications. Having concrete examples ready will help illustrate your skills and experience, making a strong case for why you're the right fit for the role.
We think you need these skills to ace Gen AI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and AI, particularly in healthcare. Use specific examples that demonstrate your skills in ETL processes, database management, and collaboration with cross-functional teams.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the responsibilities of the Gen AI Consultant role. Emphasise your understanding of healthcare datasets and your enthusiasm for integrating AI solutions in this field.
Showcase Relevant Projects: If you have worked on projects involving genomics or AI in healthcare, be sure to include these in your application. Describe your role, the technologies used, and the outcomes achieved to illustrate your hands-on experience.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to AI, data science, or healthcare that you've completed. 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 Data Engineering Skills
Be prepared to discuss your experience with ETL processes and database management. Highlight specific projects where you designed data pipelines or worked with healthcare datasets, as this will demonstrate your technical expertise.
✨Understand AI in Healthcare
Familiarise yourself with how AI is being integrated into healthcare solutions. Be ready to talk about any relevant projects or research you've done, especially those involving genomics or clinical data, to show your passion for the field.
✨Communicate Effectively
Since the role requires collaboration with cross-functional teams, practice articulating your thoughts clearly. Use examples from past experiences to illustrate your communication skills and ability to work well in a team environment.
✨Stay Updated on Industry Trends
Research the latest advancements in genomics and AI technologies before your interview. Being knowledgeable about current trends will not only impress your interviewers but also show your commitment to continuous learning in the field.
