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Data Scientist for Omics and AI Biomarker Development
1 month ago
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:
- Implement in-house library of clinically relevant multi-omic immunological signatures and assess their relationship with mechanisms of action and resistance.
- 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.
- 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.
- Interface cross-functionally with early development, assay laboratories, in-vitro diagnostics, and biomarker representatives to drive omics-based biomarker development.
- 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.