Scientist II, Data Science

SERVIER MONDEBoston, MA
$146,000 - $165,000Hybrid

About The Position

We are searching for a talented bioinformatics Scientist to join our Data Science team. The Scientist will be performing Next Generation Sequencing (NGS) data analysis and interpretation for multiple Oncology programs. This individual will be integrated with program teams, contributing to study design, data analysis, and internal / external communication of results. The candidate is expected to drive projects by translating bioinformatics analysis results into biological insights and testable hypotheses.

Requirements

  • Ph.D. in Computational Biology, Biology, Statistics, or a related field, with at least 5 years of working experience in Drug Discovery and/or Translational setting, preferably in Oncology.
  • Publication track record demonstrating ability to translate Bioinformatics analysis results into new biological insights.
  • Expertise in processing and analysis of next-generation sequencing data (RNA, DNA, DNA methylation).
  • Familiarity with TCGA and other publicly available oncology datasets, cell line and in vivo shRNA/CRISPR screening.
  • Strong hands-on programming skills: especially R/Bioconductor, Python, SQL, Unix & cluster computing environment.
  • Experience with data visualization tools (ggplot2, RStudio Connect/Shiny).
  • Excellent cross-functional communication skills.
  • Strong organizational skills; self-motivated and able to work independently or in a small team.

Nice To Haves

  • We welcome candidates with a range of experience levels who demonstrate the skills and capabilities needed for success in the role.
  • We are always willing to consider experiences and skills beyond what is listed in the job description.

Responsibilities

  • Design, analyse, and interpret genomic studies in Exploratory and Clinical Oncology programs at Servier.
  • Work closely with cross-functional program team members to think deeply about novel target biology and drugging strategy.
  • Address key biological questions using available genomic data
  • Propose new experiments based on analysis results.
  • Use public and proprietary NGS data to identify: Novel cancer targets, Patient selection hypotheses, and Combination treatment strategies.
  • Conduct analyses of NGS data, including: Analysis workflow development (WDL / CWL / Nextflow), New method implementation and assessment, and Data visualization and interpretation.
  • Deliver scientific presentations and publications.

Benefits

  • medical
  • dental
  • vision
  • flexible time off (Servier provides unlimited sick time and flex time, and does not accrue time off)
  • 401(k)
  • life and disability insurance
  • recognition programs
  • Short-Term and Long-Term incentive programs
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