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Principal Data Scientist - Computational Biology

Employer
Precision Life Sciences, LLC
Location
Boston, Massachusetts, US
Salary
Competitive
Closing date
Nov 26, 2021

View more

Sector
Academic / Research, Consultancy/Private Sector
Field
Informatics / GIS
Discipline
Biology
Salary Type
Salary
Employment Type
Full time
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Precision is seeking a talented Principal Data Scientist, to provide scientific expertise and leadership in using advanced computational methods enabling immunology research, optimization of their proprietary platform, and supporting immune-oncology clinical trials.

The successful candidate will possess the ability to work within a fast-paced multidisciplinary environment to drive data analysis, development, and prototyping of innovative computational tools that support research and clinical initiatives.

Responsibilities
  • Work within an interdisciplinary team of molecular biologists, cellular biologists, data scientists, statisticians, and software engineers to support utilization and optimization of the discovery platform
  • Develop and prototype methods and analytical tools to deliver insights and hypotheses from multi-dimensional biological data sets
  • Lead and manage a small team with the goal of providing bioinformatics support to research teams as well as innovate, test and prototype data analysis methods
  • 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

Qualifications
  • Experience in cancer, immunology research is required
  • Strong scientific understanding of cellular biology, molecular biology including experience with transcriptomics and cellular profiling data
  • Experience in the application of statistical techniques to biological data, experience in exploratory analysis
  • Demonstrated expertise in genomic data analysis
  • In-depth knowledge of relevant public and proprietary databases, methods, and tools (NCBI, UCSC Genome Browser, TCGA)
  • Demonstrated expertise in delivering insights and hypotheses from complex multi-dimensional biological data in a biomedical context.
  • Strong programming skills in Python and R. Working knowledge of databases solutions such as SQL.
  • Ability to present data to a multidisciplinary audience in a clear and cohesive manner
  • Ph.D. in Bioinformatics, Computational Biology or other related fields
  • 2+ years of relevant post-graduate research experience, including biotech/pharma experience
  • 6+ Month Contract
  • ASAP Start
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