Job Details

  • Title: Associate Research Scientist
  • Code: RCI-36979-1
  • Location: Seattle Washington (WA) 98109
  • Posted Date: 04/07/2021
  • Duration: 7 Months

  Job Description

Updates from manager

  • Work with clinical trials data
  • Data presentation and visualisation
  • R, Python or Perl
  • Omics data
  • Junior level person
  • Recent PhD or Master’s degree with 1-3 years’ experience
  • Oncology
  • Strong communications
  • Background in oncology and immuno-oncology
  • Experience working with NGS data and other biomarker data

Experience needed

  • This person is expected to writing programming codes in R or Python
  • R or Python experience is must have
  • This will be a remote role during COVID
  • Extensive experience with working with NGS data
  • Experience working with Flow cytometry or any other biomarker data
  • Possibility for extension after 7 months
  • Other programming skills may also work.
  • Computational biologist is first preference and then immuno-oncology

We are seeking an innovative computational biologist to join our Early Development Predictive Sciences team within the Informatics & Predictive Sciences group.

  • This group of computational scientists is responsible for advancing industry-leading Early Development pipeline through the strategic application of cutting-edge bioinformatics approaches.
  • The scientists in this group analyze real-world health data, design experiments and analyze both pre-clinical and clinical-omics data sets, including RNA-Seq, Exome and Whole Genome Sequencing, single-cell sequencing, high-throughput proteomics, and multiplex flow cytometry in order to guide early clinical drug development decisions.


  • Develop an analytical framework for integrative analysis of heme multi-modal biomarker data
  • Develop and maintain reusable code for analysis and formatted output generation
  • Collaborate with other bioinformaticians, statisticians and biologists implement and execute bioinformatics analysis to impact our Early Development Oncology pipeline


  • Masters or Ph.D in bioinformatics, engineering, statistics, physics, molecular biology, genetics, or similar
  • Experience with data generated by one or more high-throughput molecular assays: next-generation sequencing, flow cytometry, mass spectrometry proteomics, etc.
  • Experience in the use of a high-level programming language such as R, MATLAB, Python or Perl for complex data analysis and reproducible research practices
  • Strong communication, data presentation and visualization skills.
  • Ability to work both independently and collaboratively
  • Background in Oncology/Immuno-Oncology and experience working with clinical trial data is a plus