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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.
Gen AI Consultant employer: InterEx Group
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 your understanding of these will set you apart from other candidates.
✨Tip Number 3
Prepare to discuss specific projects where you've implemented ETL processes or worked with diverse datasets. Be ready to explain your role, the challenges faced, and how you overcame them, as this will highlight your practical experience.
✨Tip Number 4
Stay updated on the latest trends in AI and genomics. Follow relevant blogs, podcasts, or research papers to ensure you can speak knowledgeably about current advancements and how they can be applied in healthcare during your interviews.
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 integration, particularly in healthcare. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI in healthcare. Mention specific projects or experiences that align with the responsibilities listed in the job description, and explain how you can contribute to their goals.
Showcase Relevant Skills: In your application, emphasise your skills in ETL processes, SQL, and any experience with genomics or healthcare datasets. Provide examples of how you've successfully applied these skills in previous roles.
Highlight Continuous Learning: Mention any recent courses, certifications, or self-study related to AI and machine learning. This shows your commitment to staying updated with industry advancements, which is crucial for this role.
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 trends in AI and how they apply to healthcare. Be ready to discuss any relevant projects or research you've done, and how you can contribute to developing AI solutions tailored to healthcare challenges.
✨Prepare for Collaborative Scenarios
Since the role involves working with cross-functional teams, think of examples that showcase your ability to collaborate effectively. Prepare to discuss how you've worked with data scientists or machine learning engineers in the past.
✨Stay Updated on Industry Standards
Brush up on healthcare industry standards and regulations, as well as data interoperability. Being knowledgeable about these topics will demonstrate your commitment to the field and your readiness to tackle the challenges in healthcare data management.
