We are looking for a highly skilled Gynecologist - Data Analyst to join our dynamic health project team. This role involves leveraging data analytics to support AI-driven healthcare solutions focused on gynecology, prenatal, and postnatal care. The ideal candidate will have a strong background in both gynecology and data analysis to ensure data-driven decision-making and model accuracy. Key Responsibilities:
Collect, clean, and preprocess medical and clinical data for AI model training, ensuring data quality and consistency.
Analyze data to identify patterns, trends, and insights relevant to gynecological care, prenatal, and postnatal health.
Collaborate closely with AI Experts to enhance model accuracy and effectiveness based on clinical data analysis.
Support the Health Expert (Gynecologist) in validating AI-generated insights and recommendations, ensuring they align with medical standards.
Contribute to developing data-driven healthcare solutions by providing actionable insights to inform clinical decision-making.
Ensure compliance with data privacy regulations and ethical standards in handling patient data.
Document and communicate findings, methodologies, and results effectively to both technical and non-technical stakeholders.
Qualifications:
MBBS degree with experience or certification in data analysis or a related field.
At least 3-4 years of experience in gynecology, with a focus on using data analytics in a clinical setting.
Familiarity with AI and machine learning applications in healthcare.
Excellent analytical and problem-solving skills, with an ability to interpret complex data sets.
Strong communication skills to effectively collaborate with multidisciplinary teams and present data insights.
Experience in working with electronic health records (EHRs) and other medical data sources is a plus.