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Project Leader/Manager - Patient Analytics + Predictive Modeling at Axtria - Ingenious Insights — Bengaluru

Experience4–9 yrs
SalaryNot disclosed
Work modeonsite
Levelmid
Posted17 Sept 2026

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About Axtria - Ingenious Insights

Axtria - Ingenious Insights is hiring in Bengaluru in pharma biotech. This role looks for around 4+ years of experience.

Skills

Predictive analytics
Clustering
Segmentation
Lookalike modelling
Statistical modelling
Patient journey analysis
Commercial pharmaceutical analytics
Data visualization
Python
PySpark
Databricks
XGBoost
AdaBoost
Random Forest
K-means
Pharma real-world data
AI/ML tools

The role

A data scientist at a life sciences analytics company develops predictive analytics and statistical modelling for pharma real-world data and patient journey analysis, using Python and PySpark. The role applies clustering, segmentation, lookalike modelling, and AI/ML tools to create client-ready healthcare insights.

Full job description

Axtria is a global provider of award-winning cloud software and data analytics to the life sciences industry. The company enables pharmaceutical, medical device, and diagnostics organizations to transform product commercialization and improve healthcare outcomes worldwide.

Job Title- Project Lead/Manage, Patient Predictive Analytics

Location: Gurgaon / Noida / Bangalore / Pune / Hyderabad

Job Summary :

Responsible for data science solutioning (predictive analytics, clustering, segmentation, lookalike modelling), augmenting patient journey analysis and working with anonymized patient-level data. Acts as an expert in Patient and Predictive Analytics, guiding and leading teams supporting pharma clients.

Key Responsibilities :

- Manage client/onshore stakeholders to ensure successful delivery.

- Collaborate with project managers to define algorithms, break down problems, and run analyses.

- Deliver high-quality analytics solutions/reports in client-ready formats.

- Scope projects, design solutions, execute, and communicate findings.

- Contribute to Axtria tools and capabilities.

- Participate in hackathons, solution design, and process automation.

- Communicate effectively with clients and onshore teams.

Requirements :

- 4-9 years of experience in Pharmaceutical/Life Sciences domain.

- Expertise in Data Science/ML algorithms, predictive analytics, clustering, segmentation, lookalike modelling, statistical models

- Experience with advanced analytics across patient journey (line of therapy, switch analysis, segmentation, adherence, patient identification, etc.).

- Expertise in commercial pharmaceutical analytics (HCP, payer, patient analytics).

- Strong logical reasoning, structuring of analysis, problem-solving.

- Skills in data visualization, story-telling and reporting.

Qualifications :

Bachelors/Masters in Statistics, Economics, Mathematics, Operations Research, Engineering, Technology, Pharmacy, Management

Must-Have Skills :

- Expertise in pharma real-world data (APLD, EMR, prescription, specialty pharmacy).

- Experience in statistical modelling and AI/ML tools (Python, PySpark, Databricks).

- Algorithms - XGBoost, AdaBoost, Random Forest, K-means, etc.

Nice-to-Have Skills :

- Experience in Deep Learning (Python, PySpark, Keras, TensorFlow).