Job Description
Company Overview: The client is an international IT consulting firm that specializes in delivering innovative and transformative AI solutions to all critical industries. Their healthcare consulting practice leverages the latest AI technologies to maximize the potential of medical data and ensure better outcomes for hospitals, pharmaceutical companies, and patients..
Job Summary: The AI Solution Consultant will serve as a key Consulting Partner for their healthcare clients, providing expert guidance on leveraging AI to optimize data usage, enhance patient care, and drive operational efficiencies. This role requires a deep understanding of AI technologies and their application in healthcare settings. The position offers opportunities to be involved in various medical situations, contributing to impactful AI-driven solutions.
Key Responsibilities:
Consult with hospital and pharmaceutical clients to understand their specific needs and challenges.
Develop and propose AI-driven solutions to address these needs, focusing on improving data analysis, patient care, and operational efficiency.
Utilize both ready-made and tailor-made AI healthcare solutions to tackle client-specific problems.
Collaborate with cross-functional teams to implement and customize AI solutions.
Conduct training sessions and workshops to educate clients on the benefits and usage of AI technologies.
Stay updated with the latest advancements in AI and healthcare technology to continually improve service offerings.
Monitor and evaluate the performance of implemented AI solutions, providing ongoing support and optimization.
You may have opportunity to provide consulting service related to the following:
Medical Imaging and Diagnostics: Advise clients to use AI algorithms to analyze medical images, such as X-rays, MRIs, and CT scans, to detect abnormalities and assist radiologists in diagnosing conditions with high accuracy and speed.
Predictive Analytics: Advise clients to apply AI to process patient data to predict disease outbreaks, patient outcomes, and potential complications, enabling proactive interventions and personalized treatment plans.
Drug Discovery and Development: Advise customers on leveraging AI to accelerate the drug discovery process by identifying potential drug candidates, predicting their efficacy, and optimizing clinical trial designs, which can significantly reduce the time and cost of bringing new drugs to market.
Personalized Medicine: Advise clients on using AI to analyze genetic data and patient records to tailor treatments and medications to individual patients, improving the effectiveness of therapies and minimizing adverse effects.
Virtual Health Assistants: Work with IT Development Teams to develop AI-powered chatbots that can act as virtual assistants, providing patients with medical advice, answering common health-related questions, and assisting in scheduling appointments, thus improving patient engagement and accessibility to care.
Administrative Efficiency: Work with IT Teams to apply AI in automating administrative tasks such as billing, coding, and appointment scheduling, reducing the workload on healthcare staff and allowing them to focus more on patient care.
Remote Monitoring and Telemedicine: Advise clients on leveraging AI to monitor patients remotely using wearable devices and sensors, providing real-time health data to healthcare providers, and enabling timely interventions for chronic disease management.
Natural Language Processing (NLP): Advise clients on applying AI to analyze and interpret unstructured medical data from clinical notes, research papers, and patient records, providing valuable insights and aiding in decision-making.
Requirements
B.Sc/B.Eng. in Computer Science, Data Science, AI, or a related field.
Previous working experience in AI software development, AI application deployment and/or AI consulting
Good to have experience working in or supporting Healthcare/Medical industry.
Strong knowledge of AI technologies, including:
Machine Learning (ML)
Deep Learning
Natural Language Processing (NLP)
Computer Vision
Predictive Analytics
Big Data Technologies (Hadoop, Spark)
Cloud Platforms (AWS, Azure, Google Cloud)
Data Integration and ETL processesIdeal to have experience involved in healthcare data standards and regulations (e.g., HL7, HIPAA).
Excellent problem-solving skills and ability to think critically and creatively.
Strong communication and presentation skills, with the ability to convey complex AI concepts to non-technical stakeholders.
Ability to work independently and as part of a collaborative team.
Preferred Qualifications:
Experience with healthcare-specific AI applications such as medical imaging analysis, predictive modeling for patient outcomes, and AI-driven drug discovery.
Knowledge of statistical analysis and data visualization tools (e.g., R, Python, Tableau).
Previous experience in a consultancy role.