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- Tasks: Design and implement data pipelines for healthcare AI solutions.
- Company: Join a forward-thinking company revolutionising healthcare with AI technology.
- 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.
- 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 AI advancements.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
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.
Seniority Level
Entry level
Employment Type
Contract
Job Function
Information Technology
Industries
Hospitals and Health Care and Insurance
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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, workshops, or conferences to meet potential colleagues and learn about industry trends. This can help you gain insights into what companies like us are looking for in a Gen AI Consultant.
✨Tip Number 2
Familiarise yourself with the latest tools and technologies used in data engineering and AI integration. Being well-versed in platforms like TensorFlow, PyTorch, or specific ETL tools can set you apart from other candidates. We value candidates who are proactive in their learning.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of how you've tackled challenges in previous roles, especially in healthcare settings. We appreciate candidates who can demonstrate their ability to apply AI solutions to real-world problems.
✨Tip Number 4
Stay updated on healthcare regulations and standards, as this knowledge is crucial for a role like this. Understanding compliance issues can give you an edge, showing us that you're not just technically skilled but also aware of the industry's nuances.
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 that you meet the qualifications.
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 of the Gen AI Consultant role, and explain how you can contribute to their team.
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 implemented 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 experiences you have had with AI solutions, particularly those that address healthcare challenges.
✨Prepare for Collaborative Scenarios
Since the role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Emphasise your communication skills and how you contribute to a team environment.
✨Stay Updated on Industry Standards
Research current healthcare industry standards and regulations. Being knowledgeable about data interoperability and compliance will show your commitment to the field and your readiness to tackle real-world challenges.
