Data Scientist - Clinical Data Extraction & AI Integration Experience Level: 3-6 Years Location: [Chennai/Hybrid] Employment Type: Full-time About the Role We are seeking an experienced Data Scientist to join our healthcare technology team, focusing on medical document processing and data extraction systems. You'll be working with cutting-edge AI technologies to build robust solutions that extract critical information from clinical documents, improving healthcare data workflows and patient care outcomes. Key Responsibilities Data Science & Analytics Design and implement statistical models for medical data quality assessment Develop predictive algorithms for encounter classification and validation Build machine learning pipelines for document pattern recognition Create data-driven insights from clinical document structures Implement feature engineering for medical terminology extraction Advanced Analytics & ML Apply natural language processing (NLP) techniques to clinical text Develop statistical validation frameworks for extracted medical data Build anomaly detection systems for medical document processing Create predictive models for discharge date estimation and encounter duration Implement clustering algorithms for provider and encounter classification AI & LLM Integration Integrate and optimize Large Language Models via AWS Bedrock and API services Design and refine AI prompts for clinical content extraction with high accuracy Implement fallback logic and error handling for AI-powered extraction systems Develop pattern matching algorithms for medical terminology Create validation layers for AI-extracted medical information Healthcare Domain Expertise Work with medical document structures Implement healthcare-specific validation rules Handle medical terminology extraction and clinical context analysis Ensure HIPAA compliance and data security best practices Technologies & Tools Languages: Python 3.8+, R, SQL, JSON Data Science Stack: pandas, numpy, scipy, scikit-learn, spaCy, NLTK ML Frameworks: TensorFlow, PyTorch, transformers, huggingface Visualization: matplotlib, seaborn, plotly, Tableau, PowerBI AI Platforms: AWS Bedrock, Anthropic Claude, OpenAI APIs Cloud Services: AWS (SageMaker, S3, Lambda, Bedrock) Research Tools: Jupyter notebooks, Git, Docker, MLflow Job Types: Full-time, Permanent Pay: ₹2,000,000.00 - ₹3,000,000.00 per year Work Location: In person
Data Scientist - Clinical Data Extraction & AI Integration Experience Level: 3-6 Years Location: [Chennai/Hybrid] Employment Type: Full-time About the Role We are seeking an experienced Data Scientist to join our healthcare technology team, focusing on medical document processing and data extraction systems. You'll be working with cutting-edge AI technologies to build robust solutions that extract critical information from clinical documents, improving healthcare data workflows and patient care outcomes. Key Responsibilities Data Science & Analytics Design and implement statistical models for medical data quality assessment Develop predictive algorithms for encounter classification and validation Build machine learning pipelines for document pattern recognition Create data-driven insights from clinical document structures Implement feature engineering for medical terminology extraction Advanced Analytics & ML Apply natural language processing (NLP) techniques to clinical text Develop statistical validation frameworks for extracted medical data Build anomaly detection systems for medical document processing Create predictive models for discharge date estimation and encounter duration Implement clustering algorithms for provider and encounter classification AI & LLM Integration Integrate and optimize Large Language Models via AWS Bedrock and API services Design and refine AI prompts for clinical content extraction with high accuracy Implement fallback logic and error handling for AI-powered extraction systems Develop pattern matching algorithms for medical terminology Create validation layers for AI-extracted medical information Healthcare Domain Expertise Work with medical document structures Implement healthcare-specific validation rules Handle medical terminology extraction and clinical context analysis Ensure HIPAA compliance and data security best practices Technologies & Tools Languages: Python 3.8+, R, SQL, JSON Data Science Stack: pandas, numpy, scipy, scikit-learn, spaCy, NLTK ML Frameworks: TensorFlow, PyTorch, transformers, huggingface Visualization: matplotlib, seaborn, plotly, Tableau, PowerBI AI Platforms: AWS Bedrock, Anthropic Claude, OpenAI APIs Cloud Services: AWS (SageMaker, S3, Lambda, Bedrock) Research Tools: Jupyter notebooks, Git, Docker, MLflow Job Types: Full-time, Permanent Pay: ₹2,000,000.00 - ₹3,000,000.00 per year Work Location: In person
Full Stack Developer Experience – 4 to 6 years Location - Chennai About the job Key Responsibilities Collaborate with development teams, product managers, data scientists, and analysts to ideate and build software solutions. Design scalable client-side and server-side architectures. Develop front-end applications using appealing, mobile-responsive designs. Build and manage robust, well-functioning databases and backend applications. Write secure, efficient, and effective APIs for seamless data and model integration. Troubleshoot, debug, and upgrade applications to maintain responsiveness and efficiency. Implement data security best practices for APIs, services, and data storage. Write comprehensive technical documentation for new and existing applications. Build full-stack Python applications and service wrappers for delivering predictive services on cloud infrastructure. Participate in designing scalable architectures and implementing AI/ML model serving for SAAS applications. Technical Requirements: Backend Development Proficiency in Python for backend services. Proven experience with Flask and Jinja templates for backend and front-end integration. Experience building and managing APIs to run AI/ML models efficiently. Hands-on experience developing applications with MongoDB and RDS . Frontend Development Strong knowledge of front-end languages and libraries, including HTML , CSS , JavaScript , XML , jQuery . Experience with modern JavaScript frameworks such as React , Node.js, and Angular . Experience with AGGrid for dynamic and scalable grid representations. Cloud & DevOps Experience deploying and managing applications on AWS EC2 . Strong understanding of application serving with Gunicorn behind Nginx reverse proxy. Familiarity with AWS Parameter Store for managing application secrets. Hands-on experience with AWS Lambda , S3 , CloudWatch , and RDS . Proficient with Docker for containerization and deployment of applications. Knowledge of CI/CD pipelines and deployment best practices. Expertise in monitoring, scaling, and optimizing application performance on cloud infrastructure. Security & Best Practices Understanding of data protection, compliance, and security best practices in application development and cloud environments. Qualifications Bachelor’s Degree in Computer Science, Engineering, Statistics, or a relevant field. 6+ years of proven experience as a Full Stack Developer or similar role in software development, preferably building both desktop and mobile applications. High-level analytical and problem-solving skills to address complex challenges in healthcare data. Nice to Have Familiarity with healthcare data standards and healthcare analytics. Experience in building HIPAA-compliant applications. Job Types: Full-time, Permanent Pay: ₹2,000,000.00 - ₹3,000,000.00 per year Work Location: In person