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Garbha Gudi Ivf Centre
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Head of AI Innovation

Head of AI Innovation

Garbha Gudi Ivf Centre

7 - 10 years

35 - 40 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

computer science automation hipaa back office healthcare life sciences data quality operations biomedical crm

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities:

1. AI Strategy Development Leadership

Define and implement a roadmap for AI adoption in clinical, patient, and back-office functions.

Identify high-impact use cases aligned with organizational goals such as embryo selection, treatment prediction, patient follow-up automation, and inventory management.

Evaluate and deploy AI tools or build custom models with internal or external data science partners.

2. Clinical AI Applications

Collaborate with embryologists and clinicians to integrate AI into embryo grading, cycle prediction, imaging, and outcome forecasting.

Lead trials or pilots of AI models that improve treatment precision and success rates.

Ensure medical accuracy, ethical AI use, and patient data protection in all implementations.

3. Operational AI Process Automation

Introduce AI-driven solutions for:

Demand forecasting

CRM and patient communication automation

Chatbots for pre-consultation and FAQs

Staff workload optimization

4. Data Governance Infrastructure

Work with IT and Data teams to improve data quality, integration, and accessibility across departments.

Ensure adherence to HIPAA-like standards and ethical AI usage.

Build or supervise a centralized data warehouse or AI-ready ecosystem.

5. Vendor and Ecosystem Collaboration

Identify, evaluate, and manage partnerships with AI tech companies, academic institutions, and healthcare startups.

Represent GarbhaGudi at AI in Healthcare forums, summits, and collaborations.

Candidate Profile:

Qualifications:

Master s or PhD in Artificial Intelligence, Data Science, Computer Science, Biomedical Engineering, or related field.

Additional certification or exposure to healthcare informatics or medical data is highly preferred.

Experience:

7 10 years in AI development or AI strategy, with at least 2 years in healthcare or life sciences.

Demonstrated success in deploying AI models from pilot to production in a regulated environment.

Experience with medical imaging, NLP, predictive analytics, or patient behavior modeling is a plus.

Technical Skills:

Familiarity with Python, TensorFlow, PyTorch, and cloud AI platforms (AWS, GCP, Azure).

Strong understanding of data science lifecycle, model validation, and ML Ops.

Ability to translate clinical requirements into technical AI solutions.

Soft Skills:

Visionary thinker with hands-on execution capability.

Strong communication skills to align cross-functional stakeholders.

High integrity, discretion, and empathy in handling patient-centric innovation.

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Head of AI Innovation