Data Scientist (Patient Finding)

Vizen Life Sciences Pvt Ltd; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Vizen Life Sciences Pvt Ltd is seeking a data science professional to support analytics and predictive modeling across commercial use cases. The role involves data prep, feature engineering, and performance tracking under senior guidance, with opportunities to contribute to patient-finding initiatives throughout the journey.

Ideal candidates have 3–5 years of analytics/delivery experience, solid Python/SQL skills, and a keen eye for reproducible work and documentation.

Qualifications

• Bachelor's or Master's in Data Science, Engineering, Statistics, or a related quantitative field.
• 3-5 years of analytics, modeling, or data science delivery.
• Working knowledge of Python and SQL; experience with modern data platforms.
• Experience with data analysis, visualization, and performance tracking.
• Strong attention to detail and focus on high-quality, reproducible work.

Responsibilities

• Support analytics and predictive modeling projects across commercial data science use cases
• Assist in data preparation, exploratory analysis, feature engineering, and performance tracking
• Contribute to development of predictive models under guidance of senior data scientists
• Support patient finding use cases across the patient journey (e.g., pre-diagnosis signals, diagnosis, treatment triggers, relapse indicators)
• Assist in generating actionable insights and summaries for business stakeholders
• Maintain and operationalize code assets, dashboards, and data pipelines in Python/SQL environments
• Follow best practices for documentation, version control, and reproducibility
• Collaborate with cross-functional teams and participate in stakeholder discussions alongside L5 leads
• Continuously learn and apply methods such as predictive modeling, experimentation, and causal inference

Skills

Python

SQL

Data analysis

Education

Bachelor's degree in Data Science/Engineering/Statistics

Master's degree in Data Science/Engineering/Statistics

Job description

Responsibilities

• Support analytics and predictive modeling projects across commercial data science use cases
• Assist in data preparation, exploratory analysis, feature engineering, and performance tracking
• Contribute to development of predictive models under guidance of senior data scientists
• Support patient finding use cases across the patient journey (e.g., pre-diagnosis signals, diagnosis, treatment triggers, relapse indicators)
• Assist in generating actionable insights and summaries for business stakeholders
• Maintain and operationalize code assets, dashboards, and data pipelines in Python/SQL environments
• Follow best practices for documentation, version control, and reproducibility
• Collaborate with cross-functional teams and participate in stakeholder discussions alongside L5 leads
• Continuously learn and apply methods such as predictive modeling, experimentation, and causal inference

Qualification & Experience

• Bachelor's or Master's in Data Science, Engineering, Statistics, or a related quantitative field
• 3-5 years of experience in analytics, modeling, or data science delivery
• Working knowledge of Python and SQL; experience with modern data platforms
• Experience with data analysis, visualization, and performance tracking
• Strong attention to detail and focus on high-quality, reproducible work