Senior Data Science Lead - Pharma ML & AI

Axtria - Ingenious Insights; Thousand Oaks (CA); On-site; USD 120,000 - 164,000; Full time

Job summary

Axtria in Thousand Oaks, CA is seeking an experienced data scientist to design and deploy ML solutions for pharma commercial use. The role involves integrating claims, lab, hub, CRM, and promotional data to power advanced analytics and decisioning.

You will develop deep learning and sequence models (Transformers, LSTM/GRU), apply traditional ML with SHAP explanations, and build end-to-end pipelines with Databricks, PySpark, SQL, and MLflow for training, validation, monitoring, and deployment.

Qualifications

• 5+ years of hands-on data science experience, preferably US pharma/biotech.
• Strong Python, PySpark, PyTorch or TensorFlow, and AWS/Azure skills.
• Practical experience in Transformer architectures and sequence modeling

Responsibilities

• Build and optimize ML models for pharma commercial use cases, including patient journey modeling, patient identification, treatment progression, churn prediction, HCP targeting, and NBA.
• Develop advanced deep learning and sequence models, including Transformers, LSTM/GRU, and attention-based architectures, to analyze longitudinal patient journeys and temporal patterns.
• Design HCP/patient-level datasets by integrating claims, lab, specialty pharmacy, hub, CRM, promotional, and sales data, with strong expertise in temporal feature engineering and sequence preparation.
• Apply traditional ML techniques (XGBoost, LightGBM) alongside deep learning, focusing on model evaluation, benchmarking, and explainability (SHAP).
• Build end-to-end ML pipelines using Databricks, PySpark, SQL, and MLflow, covering data engineering, model training, validation, monitoring, and deployment.
• Translate complex analytical findings into actionable insights for brand, sales operations, and commercial stakeholders.

Skills

Data science

Python & PySpark

Transformer models

Tools

Databricks

PyTorch

TensorFlow

MLflow

SQL

AWS

Azure

Transformers

Job description

Axtria in Thousand Oaks, CA is seeking an experienced data scientist to design and deploy ML solutions for pharma commercial use. The role involves integrating claims, lab, hub, CRM, and promotional data to power advanced analytics and decisioning.

You will develop deep learning and sequence models (Transformers, LSTM/GRU), apply traditional ML with SHAP explanations, and build end-to-end pipelines with Databricks, PySpark, SQL, and MLflow for training, validation, monitoring, and deployment.