Data Science, Cancer Genomics; Investigator I/II

Added: 7/16/2021

REF: 11787

Contract: Permanent

Location: Boston, Massachusetts, United States

Mid sized Biotech company that focuses on Cancer therapeutics. This company is a spinoff from one of the largest Pharma companies in the world and has unlimited resources to be successful. 

Principal Duties and Responsibilities

  • Work as part of drug discovery project team to proactively identify informatics opportunities, propose solutions, and support analytical needs to ensure best use of all relevant data and methodologies impacting project decisions
  • Contribute to the identification and validation of novel cancer targets leveraging public/proprietary genomics data and modern data mining technologies
  • Contribute to team effort in data analysis infrastructure development, including identifying or implementing fit-for-purpose tools and working with vendors to streamline the workflow in suitable computing environment
  • Contribute to the development of innovative information intelligence solutions and act as bridge between end users and developers to clarify and define system requirement.
  • Maintain expertise in state-of-the-art data science and cancer genomics methods
  • Communication:
    • Proactively communicate to supervisor and key stakeholders of activities and status
    • Generate patent, technical documents, external publications and presentation
    • Work with external vendors to achieve business goals
  • Must be able to multi-task



  • Ph.D in bioinformatics, computational biology, computer science, or biostatistics, life sciences
  • 3+ years of industry experience in cancer genomics
  • Expertise in computational tools for data analysis including but not limited to:
    • NGS data analysis, such as RNASeq, WES, BS-Seq and single cell sequencing
    • Multi-omics data analysis such as genomic alterations, transcriptome profiling, copy number profiling, and proteomics
    • Large scale functional genomics screening data analysis using CRISPR/shRNA technology
  • Solid understanding of statistical analysis principles and expert user of the statistical data analysis tools, such as R/Bioconductor or Python
  • Ability to prototype software solutions and analytical pipelines for data analysis is required
  • Proficiency in common cancer genomics / bioinformatics databases and tools is required
  • Ability to work collaboratively and communicate effectively with research group to understand experimental systems for the development of data analysis solutions is required
  • Familiarity with machine learning methods and cloud computing is preferred
  • Prior experiences with GWAS analysis or network analysis are desirable
  • Must be a team player and willing to help and ask for help; excellent written and verbal communication skills; excellent interpersonal skills with a proven record of interacting with bench scientists effectively.

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