Lead AI Engineer in Human Health

We are seeking a highly skilled and motivated Lead AI Engineer to spearhead our research initiatives in the application of artificial intelligence to human health. The ideal candidate will have a strong background in AI and machine learning, coupled with a deep understanding of healthcare systems and biological sciences. This role requires a visionary leader who can drive innovative research, manage a team of researchers, and collaborate with cross-functional teams to develop cutting-edge solutions that improve health outcomes.

Key Responsibilities

• Research Leadership:
• Lead and oversee AI research projects focused on human health, from conceptualization to execution.
• Develop and implement a strategic research roadmap that aligns with the organization’s goals and objectives.
• Stay abreast of the latest advancements in AI and healthcare to inform research directions and methodologies.
• Project Management:
• Manage multiple research projects simultaneously, ensuring timely delivery of high-quality results.
• Allocate resources effectively, including personnel, budget, and technology.
• Ensure adherence to regulatory and ethical standards in all research activities.
• Team Development:
• Recruit, mentor, and lead a team of AI researchers, data scientists, and healthcare professionals.
• Foster a collaborative and innovative research environment.
• Provide training and development opportunities to team members.
• Collaboration and Communication:
• Collaborate with interdisciplinary teams, including clinicians, biologists, data engineers, and software developers.
• Establish partnerships with academic institutions, industry leaders, and research organizations.
• Communicate research findings and progress to stakeholders through presentations, reports, and publications.
• AI Model Development and Deployment:
• Design, develop, and validate AI models for applications in disease prediction, diagnosis, treatment optimization, and personalized medicine.
• Ensure robustness, scalability, and real-world applicability of AI solutions.
• Oversee the integration of AI models into clinical workflows and healthcare systems.
• Data Management:
• Oversee the collection, management, and analysis of large-scale health data.
• Ensure data privacy, security, and compliance with relevant regulations (e.g., HIPAA, GDPR).
• Develop and maintain data infrastructure and pipelines for efficient data processing.
• Publication and Dissemination:
• Publish research findings in reputable journals and present at leading conferences.
• Contribute to the broader scientific community through open-source projects, workshops, and seminars.

Required Qualifications

• Education: PhD in Computer Science, AI, Machine Learning, Biomedical Engineering, or a related field.
• Experience: Minimum of 5-7 years of postdoctoral experience in AI research, with a focus on healthcare applications.
• Technical Skills:
• Proficiency in programming languages such as Python, R, or Java.
• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of healthcare data types and standards (e.g., EHR, genomic data, HL7, FHIR).
• Leadership Skills: Proven experience in leading and managing research teams.
• Communication Skills: Excellent written and verbal communication skills, with a track record of publications and presentations.

Preferred Qualifications

• Experience in clinical research or working within healthcare institutions.
• Familiarity with regulatory requirements and ethical considerations in health AI research.
• Strong network within the AI and healthcare research communities.

Personal Attributes

• Innovative thinker with a passion for improving human health through technology.
• Strong problem-solving skills and the ability to think critically and creatively.
• Collaborative team player with the ability to lead and inspire others.

Application Process

• Interested candidates are invited to submit a cover letter, CV, and a list of relevant publications.
• Contact: [email protected] |
• Address: Unit No. 729/730, DLF Cyber City, Technology Corridor,
• Chandaka Industrial Estate, Patia, Bhubaneswar- 751024