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Scientist Senior

Thousand Oaks, CA · Healthcare
Top 3 Must Have Skill Sets:        
  • Significant experience in bioinformatics, applied mathematics and/or statistics, including linear mixed effects models, to analyze multi-modal, multi-dimensional and large-scale biological data
  • A working knowledge of platforms and readouts utilized for the assessment of clinical biomarkers including flow cytometry, IHC, NGS, immunoassays, imaging, and transcriptional profiling assays
  • Programming experience in Python & R and familiarity with tidyverse principles
 
  • Ability to translate biological and medical questions into analytical models providing actionable results
  • A working knowledge and experience of Machine Learning and AI technologies. Experience applying ML/AI in clinical trial settings is a plus.
  • Familiarity with assay development and qualification requirements for clinical trial support
  • Ability to work in a highly matrixed environment and drive scientific and technical innovation collaboratively with other members of the group, as well as with Amgen research community
  • Three or more years of relevant experience in the biotech or pharmaceutical industry
  • Strong written and oral communication skills, self-motivation, independence, and leadership


Day to Day Responsibilities:
  • Support the development of clinical biomarkers supporting Amgen programs through the formulation and execution of biomarker data analysis
  • Perform assessment of biochemical coverage, patient stratification, indication selection in Amgen’s early and late clinical development programs and discovery of clinical insights at asset and portfolio levels through the application of knowledge discovery and data mining techniques
  • Develop translational informatics analysis workflows in a high-content, multi-omics, multi-modal data domain encompassing genomics, transcriptomics, proteomics, metabolomics and epigenomics domains
  • Work with biologists, especially in immuno-oncology, to leverage information on targeted biological pathways along with development of computational algorithms to manage and mine internal and external genomics and other high-content databases
  • Provide leadership and expertise to the function in the areas of algorithm development, bioinformatics, data integration & management, visualization, analysis, and presentation
  • Interface cross-functionally with the early development teams, assay laboratories, in-vitro diagnostics, and biomarker representatives


Red Flags:   
  • Limited programming experience or lack of formal training in quantitative discipline
  • Early preclinical experience only


Interview Process:
  • Hiring manager phone screen
  • Short take-home programming exercise
  • 45 minute candidate seminar on prior research experience
  • 1:1s with 3-4 members of the hiring team
PAY RATE : Open rate. on W2

"This posting is for Contingent Worker, not an FTE"

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