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:

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

6. 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.

7. 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: hr@spikewell.com |