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Principal Scientist, Computational Biology

Genesis Therapeutics

Genesis Therapeutics

San Diego, CA, USA
Posted on Friday, April 26, 2024
Genesis Therapeutics is pioneering artificial intelligence guided rational drug design to address severe unmet medical needs for patients. Our lab in San Diego is looking for a motivated and multiskilled Principal Scientist, Computational Biology. This is a full-time position in a fast-paced biotech environment with a collegial group of highly productive colleagues working towards well-defined goals. Excellent medical and dental benefits, flexible work hours and vacation days make this an excellent opportunity to learn all aspects of biotech start-up in a supportive and inspiring environment.

What you'll do

  • Lead experimental design, execution and analysis of NGS data such as DNA sequencing, Transcriptomics and Epigenomics as endpoints to pharmacological or genetic interventions.
  • Apply machine learning, bionetwork analysis, and other cutting-edge bioinformatic methodologies to identify new targets, patient stratification strategies, and responsive biomarkers
  • Develop methods to interrogate public Omics databases
  • Lead the development of computational methods for the integrative analysis and visualization of genomics data
  • Collaborate with Biology, Chemistry, DMPK and Computer Engineering to leverage tissue-specific genomics data as a means of target identification and validation
  • Oversee genomics data management

What you’ll bring

  • PhD in Computer Science or Bioinformatics with 6+ years of Industry experience and strong publication record
  • Utilizing transcriptome data to derive predictive and pharmacodynamic gene expression signatures from the pre-clinical and clinical genomics data
  • Knowledge / experience in structural analysis is a plus
  • Experience implementing, maintaining and running analysis workflows for high throughput sequencing
  • Experience deriving and validating predictive and prognostic gene expression signatures using transcriptome data from pre-clinical and clinical (FFPE) samples
  • Experience in machine learning and AI is a plus
  • Proven record leveraging computational biology to support drug discovery and development
  • Experience in development of interactive data visualization portal is a plus
  • Strong experience in using genomic data platforms, emerging technologies as well as state-of-the art bioinformatic tool kits

What we offer

  • Competitive Pay
  • Stock Option Eligibility
  • 401(k) Plan
  • Open PTO Policy
  • Paid Company Holidays
  • Free lunch and snacks at our offices
  • Health Care Plan, including Medical, Dental, and Vision, fully covered for the employees