Proteomics Bioinformatics Scientist

15 hours ago


San Francisco, California, United States Kiaatlantasouth Full time

Scientist in Bioinformatics and Proteomics Role

The successful candidate will join the Discovery Proteomics group at Kiaatlantasouth campus. This group is tasked with developing and implementing proteomic characterization technologies in support of Kiaatlantasouth's early discovery pipeline. As a key member of our cross-functional team, this expert will be responsible for conducting statistical analysis, data ingestion, database development, and computational pipeline implementation for internal and external mass spectrometry-based and other types of proteomics data to support biomarker discovery, target evaluation, experimental design, and mechanism-of-action studies.

Responsibilities:

  • Implement data analysis, management, and visualization strategies for complex proteomics/phosphoproteomics/glycoproteomics data generated by mass spectrometry and other technologies.
  • Develop and establish computational solutions for differential protein expression analysis, protein turnover rate estimation, and protein-protein interaction identification using proteomics data.
  • Work closely with scientists from different functions and therapeutic areas, deliver and present analysis results to key stakeholders.
  • Collaborate across proteomic platforms for data integration and mining, and utilize available external resources where appropriate.

Requirements:
  • Master's degree and 2 years of scientific experience, or Bachelor's degree and 4 years of scientific experience.
  • PhD in Computational Biology, Bioinformatics, Statistics, Proteomics, or Biology. Post-doctoral experience preferred, but recent doctoral candidates with highly relevant experience are encouraged to apply.
  • Expertise in large-scale quantitative proteomics and other omics data analysis.
  • Fluency in Python, R, and SQL, and familiarity with analytic techniques/packages necessary for statistical analysis, data processing, data ingestion, data visualization, and basic machine learning approaches.
  • Working knowledge of Unix/Linux and cloud computing (AWS) environments.

What We Offer:
  • Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts.
  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan.
  • Stock-based long-term incentives.
  • Award-winning time-off plans and bi-annual company-wide shutdowns.
  • Flexible work models, including remote work arrangements, where possible.


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