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4 дня назад

Manager/Senior Manager - Data Science

119 500 - 163 875$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Manager/Senior Manager - Data Science (Pharma/AI): Building and optimizing machine learning models and end-to-end pipelines for pharmaceutical commercial use cases with an accent on patient journey modeling, sequence architectures, and integrated healthcare data. Focus on developing Transformer and LSTM/GRU models, engineering longitudinal features, evaluating explainability, and deploying solutions with Databricks, PySpark, SQL, and MLflow.

Location: Based in Thousand Oaks, California, with client-site attendance required 3–5 days per week. U.S. citizenship or authorization to work in the U.S. is required.

Salary: $119,500–$163,875 annually. The stated range is based on a primary work location in Berkeley Heights, New Jersey, and may vary by geographic location.

Company

hirify.global provides cloud software and data analytics for the Life Sciences industry, including AI- and ML-driven solutions for commercial and patient healthcare outcomes.

What you will do

  • Build and optimize ML models for pharmaceutical commercial use cases, including patient journey modeling, patient identification, treatment progression, churn prediction, HCP targeting, and Next Best Action.
  • Develop deep learning and sequence models, including Transformers, LSTM/GRU, and attention-based architectures, for longitudinal patient journeys and temporal patterns.
  • Design HCP- and patient-level datasets by integrating claims, laboratory, specialty pharmacy, hub, CRM, promotional, and sales data.
  • Build end-to-end ML pipelines covering data engineering, model training, validation, monitoring, and deployment.
  • Apply traditional ML techniques such as XGBoost and LightGBM, with model evaluation, benchmarking, and SHAP-based explainability.
  • Translate analytical findings into actionable insights for brand, sales operations, and commercial stakeholders.

Requirements

  • 5+ years of hands-on data science experience, preferably in U.S. pharma or biotech.
  • Strong Python, PySpark, PyTorch or TensorFlow, and AWS or Azure skills.
  • Practical experience with Transformer architectures and sequence modeling.
  • Experience with Databricks, SQL, and MLflow for end-to-end ML pipelines.
  • U.S. citizenship or authorization to work in the U.S.
  • Ability to work at the client site in Thousand Oaks 3–5 days per week.

Culture & Benefits

  • Hybrid work arrangement with regular client-site presence in Thousand Oaks.
  • Work within a global Life Sciences technology and analytics organization operating across more than 30 countries.

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