Manager/Senior Manager - Data Science (1311)

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

Company Overview

Axtria is a leading global provider of cloud software and data analytics tailored for the Life Sciences industry. Since our inception in 2010, we have pioneered technology-driven solutions to revolutionize the commercialization journey, driving sales growth, and enhancing patient healthcare outcomes. Committed to impacting millions of lives positively, our innovative platforms deploy cutting-edge Artificial Intelligence and Machine Learning technologies. With a presence in over 30 countries, Axtria is a key player in delivering commercial solutions to the Life Sciences sector, consistently recognized for our growth and technological advancements.

Axtria is a leading global provider of cloud software and data analytics tailored for the Life Sciences industry. Since our inception in 2010, we have pioneered technology-driven solutions to revolutionize the commercialization journey, driving sales growth, and enhancing patient healthcare outcomes. Committed to impacting millions of lives positively, our innovative platforms deploy cutting-edge Artificial Intelligence and Machine Learning technologies. With a presence in over 30 countries, Axtria is a key player in delivering commercial solutions to the Life Sciences sector, consistently recognized for our growth and technological advancements.

Job Description

Responsibilities will include:

• Build and optimize ML models for pharma commercial use cases, including patient journey modeling, patient identification, treatment progression, churn prediction, HCP targeting, and Next Best Action (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.

Required Skills And Experience

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

Logistics and Location

• U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
• Position is based out of Thousand Oaks and the candidate need to be at the client site 3-5 days per week

Pay Transparency Laws

Salary range or hourly pay range for the position

The salary range for this position is $119,500 to $163,875 annually. The actual salary will vary based on applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant’s geographic location.

The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.