Senior Data Scientist, AI, Healthcare & Lifesciences

IBM

Remote

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Work type
Remote
Location
Remote
Posted
8 days ago

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Similar $174k
$125k most similar roles pay here $233k

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TL;DR · Senior Data Scientist, AI, Healthcare & Lifesciences

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The Senior Data Scientist role within the AI team focuses on developing advanced AI/GenAI models for Healthcare and Life Sciences applications. This involves analyzing large datasets to extract actionable insights and collaborating with cross-functional teams such as clinicians and biostatisticians to integrate AI solutions into clinical workflows. Day-to-day responsibilities include designing predictive models, implementing agentic AI systems, conducting performance evaluations, and ensuring regulatory compliance through documentation. The ideal candidate has expertise in Python or R, proficiency in TensorFlow, PyTorch, and scikit-learn, and experience with healthcare data such as EHRs and genomic datasets. Additionally, familiarity with cloud platforms like AWS, Azure, or GCP is essential for deploying AI solutions in production environments while maintaining strong collaboration skills across multidisciplinary teams.

Skills

Python TensorFlow PyTorch scikit-learn R AWS Azure GCP EHR genomic clinical trial data statistics data preprocessing feature engineering model validation CI/CD regulatory compliance reproducibility Prometheus Grafana

What you'll do

  • Design and develop AI/GenAI models tailored for Healthcare and Life Sciences applications.
  • Analyze large datasets to extract actionable insights for patient outcomes and treatment optimization.
  • Develop predictive models for clinical decision support and validate their accuracy and reliability.
  • Implement agentic AI systems capable of autonomously performing tasks in healthcare processes.
  • Document methodologies, results, and model pipelines for regulatory compliance and reproducibility.

What we're looking for

  • Proven experience in AI/GenAI model development for Healthcare and Life Sciences.
  • Strong programming skills in Python/R with proficiency in TensorFlow, PyTorch, scikit-learn.
  • Experience working with healthcare data including EHRs, genomics, clinical trials.
  • Solid understanding of statistics, experimental design, and data preprocessing techniques.
  • Familiarity with cloud platforms for deploying AI solutions in production environments.
  • Ability to collaborate effectively across multidisciplinary teams in Healthcare settings.

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