Lead AI Engineer in Human Health

Job Description

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 organizations 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: hidden_email |

Address: Unit No. 729/730, DLF Cyber City, Technology Corridor,

Chandaka Industrial Estate, Patia, Bhubaneswar- 751024 .