Job highlights

- Required skills

- Experience : 3+ years . Job Role

Designation : Senior Analyst - Data Science

Level : L2

Location : Bengaluru

Experience : 3+ years

Job Role : Data Scientist Healthcare AI Clinical Intelligence

Responsibilities

- Model Development Prototyping: Design, train, and validate machine learning and statistical models focused on risk stratification, disease progression, treatment intelligence, and healthcare recommendations.

- Longitudinal EHR Feature Engineering: Translate temporal clinical touchpointssuch as diagnostic records, symptoms, lab investigations, and prescriptionsinto robust features for predictive models and generative AI systems.

- Unstructured Data Pipeline Design: Build models and pipelines capable of extracting insights from unstructured healthcare records, doctor notes, and medical terminologies.

- Problem Scoping Hypothesis Testing: Frame open-ended clinical questions into explicit, measurable machine learning objectives; define appropriate targets, data requirements, and success metrics.

- Production Integration Monitoring: Work alongside engineering teams to operationalize prototypes into production environments and establish continuous model performance tracking.

- Comprehensive Model Evaluation: Construct evaluation systems that assess offline metrics alongside real-world clinical validity,



model calibration, algorithmic bias, and robustness.

- Cross-Functional Collaboration: Partner with domain experts (clinicians) and technical stakeholders to ensure solutions directly enhance healthcare delivery and operational outcomes.

Required skills

Primary Skillset

- Machine Learning Statistical Modeling (Model Design, Evaluation, Calibration)

- Python Core Data Science Stack (Pandas, NumPy, Scikit-learn, PyTorch or similar)

- Advanced SQL Complex Querying

- Working with Large-Scale, Messy Longitudinal Data

- Problem Formulation (Translating ambiguous domain/business problems into concrete ML setups)

Secondary Skillset

- Healthcare/EHR/Claims Data Processing Clinical Ontologies

- Clinical NLP Medical Language Models (including LLMs/Generative AI)

- Advanced Analytics: Time-Series Analysis, Survival Analysis, Causal Inference

- Big Data Frameworks (e.g., PySpark)

- Production ML Deployment Performance Monitoring

- Technical Communication Cross-Functional Stakeholder Alignment

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Analyst - Data Science (Bengaluru)
🏢 Latentview
📍 Bengaluru