Lead AI Engineer in Human Health

2 months ago

Bhubaneswar, India Spikewell Full time
Job Description

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 | 

Address: Unit No. 729/730, DLF Cyber City, Technology Corridor,
Chandaka Industrial Estate, Patia, Bhubaneswar- 751024



Requirements
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.

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