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Senior/Principal Data Scientist, Computational Biology

Employer
Genocea
Location
Cambridge, Massachusetts, US
Salary
Competitive
Closing date
Oct 15, 2021

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Sector
Academic / Research
Field
Informatics / GIS
Discipline
Biology
Salary Type
Salary
Employment Type
Full time
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We are seeking a talented and highly motivatedSenior/Principal Data Scientist, with strong scientific expertise and skills in computational biology. Responsibilities span supporting on-going research activities, data mining clinical/research data for insight and analyzing data from immune-oncology clinical trials. The successful candidate will possess the ability to work in a fast-paced multidisciplinary environment and will also mentor team members and manage a direct report.

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


Minimum Qualifications
  • Ph.D. in Bioinformatics, Computational biology or other related fields
  • 2+ years of relevant biotech/pharma experience
  • 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
  • Ability to work independently in a multidisciplinary, fast-paced, dynamic and results-oriented environment
  • Excellent teamwork, time management and organizational skills


Preferred Skills & Experience
  • 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


We aim for a high-performing and collaborative culture that embraces diversity, equity and inclusion as a source of strength

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