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Senior Computational Biologist

Cambridge, MA

Posted: 05/14/2020 Employment Type: Direct Hire Job Category: Clinical: Scientific Job Number: 2568

Job Description


Our client is seeking a talented and highly motivated Sr. Computational Biologist to provide technical expertise and leadership in using advanced computational methods enabling immunology research, optimization of their platform and supporting immuno-oncology clinical trials. The successful candidate will possess the ability to work within a fast-paced multidisciplinary environment to drive development, implementation and maintenance of innovative computational tools support research and clinical initiatives.

Primary Responsibilities:
  • Work within an interdisciplinary team of molecular biologists, cellular biologists, data scientists / statisticians and software engineers to support utilization and optimization of the client' s antigen discovery platform
  • Develop and implement automated methods and analytical tools to deliver insights and hypotheses from multi-dimensional biological data sets
  • Use established programming standards and best practices in building Bioinformatics tools
  • Present scientific and technical data to both internal and external scientific colleagues in a clear and cohesive manner
  • Bring in original ideas to create solutions to complex problems

Requirements / Qualifications:
  • Ph.D. in Bioinformatics, Computational biology or other related fields
  • 2+ years of relevant post-graduate research experience, including biotech/pharma experience
  • Demonstrated expertise in genomic data analysis
  • Experience in cancer, immunology research
  • Strong scientific understanding of cellular biology, molecular biology including experience with transcriptomics and cellular profiling data
  • Experience in application of statistical techniques to biological data, experience in exploratory analysis
  • Experience in R programming and SQL
  • 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
  • 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

Meet Your Recruiter

Kelley Cole
Clinical Recruiter

Kelley brings 5 years of experience in full life-cycle recruitment and talent acquisition management, along with a strong client services background, to her role as Clinical Recruiter for The Steely Group. A desire to make a difference and add positivity to this world are two factors that influenced Kelley’s decision to become a recruiter. “Connecting a candidate with a better opportunity that could have a huge impact on them and their family is very fulfilling,” she says.

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