Manager/Senior Manager - Data Science (1311)
At a glance
Senior Data Science role at Axtria. Thousand Oaks · full-time · $119,500–$163,875 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and refine models for pharma commercial tasks, including patient identification, churn, HCP targeting and next-best actions
- Use Transformers, LSTM/GRU and attention architectures to model patient timelines and changing patterns
- Join claims, lab, specialty pharmacy and other data to create HCP- and patient-level datasets with temporal features
- Run ML workflows with Databricks, PySpark, SQL and MLflow, from data preparation through validation and deployment
- Present analytical findings as practical guidance for brand, sales operations and commercial teams
What you bring
- At least five years of hands-on data science experience, preferably in US pharma or biotech
- Strong skills in Python, PySpark, PyTorch or TensorFlow, plus AWS or Azure
- Practical experience with Transformer architectures and sequence modeling
Who this fits
This senior role suits someone with hands-on sequence-modeling experience who can explain findings to commercial stakeholders. The position is based in Thousand Oaks, with client-site work required three to five days per week. Applicants need US work authorization.
From the employer
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.
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.
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