Position Summary

We are seeking a talented and highly motivated Data Scientist with strong statistical expertise. The successful candidate will provide technical expertise and leadership to use advanced statistical methods enabling immunology research, optimization of the ATLASTM platform and supporting clinical trials. The successful candidate will also possess the ability to work within a fast-paced multidisciplinary environment to drive development, implementation and maintenance of innovative computational tools to support research and clinical initiatives.

Primary Responsibilities

  • Work within an interdisciplinary team of molecular biologists, cellular biologists, computational biologists / data scientists and software engineers to support utilization and optimization of the ATLAS™ antigen discovery platform

  • Work closely with Computational Biology expertise to add statistical rigor to analyses

  • Bring strong statistical expertise to team along with skills / aptitude in developing data processing pipelines

  • Integrate statistical solutions into Bioinformatics pipelines using established programming standards and best practices


  • Ability to work independently in a multidisciplinary, fast-paced, dynamic and results-oriented environment

  • Excellent teamwork, time management and organizational skills

  • Demonstrated ability to present data to a multidisciplinary audience in a clear and cohesive manner

  • Develop understanding of multi-dimensional biological and clinical data sets

  • Create innovative statistical solutions to address relevant questions

Required Skills

  • Experience in analyzing biological and clinical datasets

  • Experience in R programming and SQL

  • Process, analyze and interpret high volumes of cellular profiling data as part of internal and external scientific studies

  • Integrate innovative analysis and visualization tools for omics data sets, in the context of studies of cancer-patient samples

  • Present scientific and technical data to both internal and external scientific colleagues in a clear and cohesive manner

  • Work independently and prepare timetables, deliverables, and project schedules

  • Demonstrated expertise in delivering insights and hypotheses from complex multi-dimensional biological data in a biomedical context

Education & Experience Required

  • Ph.D. Statistics, Biostatistics, Mathematics, Bioinformatics or other related fields

  • Strong programming skills in Python

  • 1+ years of relevant post-graduate research experience, including biotech/pharma experience