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Data Scientist for Omics and AI Biomarker Development

1 month ago


Thousand Oaks, California, United States Dale Workforce Solutions Full time

Company Overview:

Dale Workforce Solutions is a leading provider of innovative solutions for clinical biomarker discovery and development. We are seeking a highly motivated Data Scientist to join our team and contribute to the development of deep learning, generative, and predictive signatures from multi-omics and multi-modal biomarker data.

Salary:

The estimated annual salary for this position is $120,000 - $180,000 depending on experience and qualifications.

Job Description:

Data Scientist will be responsible for implementing in-house libraries of clinically relevant multi-omic immunological signatures of activation, exhaustion, proliferation, and inflammation and assessing their relationship with mechanisms of action and resistance. This includes serving as a subject matter expert and implementation lead for application of pre-trained and internally fine-tuned foundational and generative models to Amgen's clinical trial data systems.

Responsibilities:

  1. Implement in-house library of clinically relevant multi-omic immunological signatures and assess their relationship with mechanisms of action and resistance.
  2. Serve as a subject matter expert and implementation lead for application of pre-trained and internally fine-tuned foundational and generative models to Amgen's clinical trial data systems.
  3. Work cross-functionally with stakeholders in Research and Development to comprehensively catalog large pathway collections and promising literature-based gene expression signatures across Amgen-relevant therapeutic areas.
  4. Interface cross-functionally with early development, assay laboratories, in-vitro diagnostics, and biomarker representatives to drive omics-based biomarker development.
  5. Use cutting-edge machine learning and artificial intelligence methodologies to develop biomarkers of clinical response and resistance.

Required Skills and Qualifications:

  • Bachelor's or Master's degree in Computer Science, Biostatistics, Bioinformatics, Statistics, Mathematics, or related field.
  • 5+ years of experience in machine learning, artificial intelligence, and deep learning methodologies.
  • Strong programming skills in R or Python and familiarity with DevOps tools.
  • Experience in analysis of DNA-seq/exome sequencing, RNA-seq/gene expression, and high-throughput proteomics data.
  • Excellent communication and collaboration skills.

Benefits:

  • A comprehensive benefits package including health insurance, retirement savings plan, and paid time off.
  • Opportunities for professional growth and development.
  • A collaborative and dynamic work environment.