12+ month extendable REMOTE Contract role. Must work EST hours. Rate is flexible depending upon experience.
Lenox Executive Search is seeking an experienced Principal Data Scientist to fill an 12++ month extendable remote contractual role with one of the world’s top ten largest global pharmaceutical companies . Must have 8+ years of progressive experience in data science, with a significant portion focused on predictive/prognostic modeling and advanced analytics in healthcare or life sciences.

REQUIREMENTS:

• Minimum Bachelors degree in a quantitative field (e.g., Computer Science, Statistics, Biomedical Informatics, Engineering, Physics).
• 8+ years of progressive experience in data science, with a significant portion focused on predictive modeling and advanced analytics in healthcare or life sciences.
• Disease Onset and/or Prognostic Modeling experience in the healthcare field
• Experience working at a tech startup and/or company (Ex. InSitro, PathAI, Tempus, Isomorphic Labs, Google X) highly preferred
• Demonstrated expertise in machine learning algorithms and deep learning architectures, including strong practical experience with transformer models (e.g., BERT).
• Proficiency in programming languages such as Python or R, and experience with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).
• Experience working with large-scale, real-world healthcare datasets such as claims data, electronic health records (EHR), or clinical trial data.
• Strong understanding of statistical concepts and experimental design.
• Proven ability to lead complex data science projects from conception to deployment, with a focus on delivering measurable business impact.
• Excellent communication, interpersonal, and leadership skills, with the ability to influence and collaborate effectively across all levels of the organization.

Education:

• Bachelor’s (Required

Experience:

• Data science: 8 years (Required)
• Disease Onset: 1 year (Preferred)
• Python or R: 2 years (Required)
• real-world healthcare dataset: 1 year (Required)
• Machine Learning algorithms: 3 years (Required)
• AI techniques: 2 years (Required)
• Predictive and/or prognostic modeling: 1 year (Required

• Lead the design, development, and deployment of cutting-edge predictive models using various machine learning and AI techniques, including tree-based models (e.g., XGBoost) and transformer-based architectures (e.g., BERT), for early disease detection and proactive interventions.
• Drive the strategic direction of data science initiatives across multiple therapy areas, identifying opportunities to leverage real-world data (e.g., open claims data, EHR) for improved patient outcomes and drug development, including the use of federated analytics and federatML.
• Provide technical leadership and mentorship to a team of data scientists, fostering a culture of innovation, rigorous experimentation, and best practices in MLOps.
• Evaluate and select appropriate modeling techniques and performance metrics (e.g., Precision, Recall, Bayes factor, NNT) based on specific problem statements and business objectives.
• Collaborate closely with cross-functional teams including business owners, payers, clinicians, epidemiologists, statisticians, and IT to translate complex business problems into tractable data science solutions for deployment in real world.
• Stay abreast of the latest advancements in machine learning, deep learning, and AI, and proactively integrate novel approaches into our predictive modeling capabilities.
• Communicate complex analytical findings and their implications clearly and concisely to both technical and non-technical audiences.
  Job Type: Contract
  Pay: From $90.00 per hour
  Expected hours: No less than 40 per week

Education:

• Bachelor’s (Required)

Experience:

• Data science: 8 years (Required)
• Disease Onset: 1 year (Preferred)
• Python or R: 2 years (Required)
• real-world healthcare dataset: 1 year (Required)
• Machine Learning algorithms: 3 years (Required)
• AI techniques: 2 years (Required)
• Predictive and/or prognostic modeling: 1 year (Required)

Work Location: Remot