Manager/Senior Manager - Data Science (1311)

• →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.

• 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

• 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.