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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 tackling real-world healthcare challenges with cutting-edge technology.
- Qualifications: Bachelor's degree in a relevant field and experience in data engineering and Gen AI required.
- Other info: Contract-to-hire position with potential for long-term career development.
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.
Gen AI Consultant (City of London) employer: InterEx Group
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 in our data engineering processes. Being well-versed in ETL tools, SQL databases, and AI frameworks will give you an edge. Consider taking online courses or certifications that focus on these areas to boost your knowledge.
✨Tip Number 3
Showcase your understanding of healthcare data standards and regulations. Research common challenges faced in the industry and think about how you could address them using AI solutions. This will demonstrate your proactive approach and readiness to contribute to our team.
✨Tip Number 4
Prepare to discuss your previous experiences in collaborative environments. Highlight any projects where you worked with cross-functional teams, especially in healthcare settings. This will illustrate your ability to fit into our team-oriented culture at StudySmarter.
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: 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, particularly your experience with ETL processes and collaboration with cross-functional teams.
Showcase Relevant Skills: In your application, emphasise your skills in SQL, data modelling, and database management. If you have experience with genomics or healthcare standards, make sure to include that as well.
Highlight Continuous Learning: Mention any recent courses, certifications, or self-study related to AI and machine learning, especially in a healthcare context. This shows your commitment to staying updated with industry advancements.
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 current trends and advancements in AI as they relate to healthcare. Be ready to discuss how you can apply AI solutions to real-world healthcare challenges, showcasing your understanding of genomics and clinical data.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, share examples of how you've effectively collaborated with others in previous roles. Highlight your communication skills and ability to work in a team environment.
✨Stay Updated on Industry Standards
Research the latest regulations and standards in the healthcare industry. Being knowledgeable about data interoperability and compliance will demonstrate your commitment to maintaining high-quality data practices.
