Data Scientist (Generative AI) – Revolutionize Healthcare with Cutting-Edge AI
Summary:
Netsmart is seeking a talented and passionate Data Scientist (Generative AI) to join our growing team in Bengaluru. In this role, you will leverage your expertise in machine learning, predictive analytics, and generative AI to develop innovative solutions that improve patient outcomes, optimize healthcare delivery, and advance population health management. You will work with large, complex healthcare datasets, cutting-edge technologies, and a collaborative team of experts dedicated to making a real difference in the lives of others. If you are driven by the potential of AI to transform healthcare and possess a strong analytical and technical skillset, we encourage you to apply.
About Netsmart:
Netsmart is a leading provider of healthcare technology solutions dedicated to connecting and empowering health and human services organizations. We are committed to innovation and believe in the power of data and technology to improve the quality and efficiency of care. Join us in our mission to create a healthier future for all.
Key Responsibilities:
As a Data Scientist (Generative AI) at Netsmart, you will be responsible for:
- Designing and Implementing AI/ML Solutions: Develop and implement predictive models and machine learning algorithms to address critical healthcare challenges.
- Data Analysis and Interpretation: Analyze large, complex healthcare datasets, including Electronic Health Records (EHR) and claims data, to identify patterns, trends, and opportunities for improvement.
- Model Building and Optimization: Build and refine models for patient risk stratification, outcome prediction, treatment optimization, and revenue cycle enhancement.
- Population Health Management: Develop statistical models to support population health management initiatives and improve health outcomes across communities.
- Data Pipeline Development: Create automated data pipelines for real-time analytics, ensuring data quality and efficiency.
- Healthcare Compliance: Ensure compliance with healthcare standards and regulations, including HL7 FHIR, ICD-10, CPT, and SNOMED CT.
- Cloud Deployment and Visualization: Deploy models in cloud environments and create compelling visual dashboards to communicate insights to stakeholders.
- Communication and Collaboration: Present findings and recommendations to clinicians, executives, and product teams, effectively translating technical insights into actionable strategies.
Required Qualifications:
- Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- Minimum of 2 years of experience in data science or machine learning, with a focus on developing and deploying predictive models.
- Proficiency in programming languages such as Python or R.
- Strong SQL skills for data manipulation and querying.
- Experience with advanced machine learning techniques, including supervised and unsupervised learning algorithms.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Solid foundation in statistical concepts, including hypothesis testing and causal inference.
- Experience with data visualization tools like Tableau, Power BI, matplotlib, or ggplot2.
- Working knowledge of cloud computing platforms and big data technologies (e.g., Spark, Hadoop).
- Experience with feature engineering, model validation, and performance evaluation.
Preferred Qualifications:
- Experience working with healthcare data or EHR systems.
- Understanding of HIPAA, HITECH, and other relevant healthcare regulations and workflows.
- Knowledge of healthcare interoperability standards.
- Exposure to Natural Language Processing (NLP) techniques for analyzing clinical text data.
- Experience with MLOps practices for managing and deploying machine learning models in production.
- Familiarity with time-series data analysis and modeling.
Benefits of Joining Netsmart:
- Cutting-Edge Technology: Work with the latest Generative AI and ML technologies to solve real-world healthcare problems.
- Mission-Driven Culture: Be part of a company dedicated to improving patient care and transforming the healthcare industry.
- Collaborative Environment: Thrive in a collaborative, inclusive, and diverse work environment where your contributions are valued.
- Innovation Opportunities: Contribute to groundbreaking innovations in healthcare data science.
- Growth and Development: Participate in growth-focused roles with opportunities for cross-team learning and professional development.
How to Apply:
If you are a highly motivated and skilled data scientist with a passion for healthcare, we encourage you to apply. Please submit your resume and cover letter outlining your relevant experience and qualifications. We look forward to hearing from you!