Data Scientist, Cardiovascular modeling

Added: 15/01/2021

REF: 6789

Contract: Permanent

Location: Cambridge, Massachusetts, United States

Responsibilities

  • Lead biostatistics efforts in a team setting of fellow scientists and machine learning engineers
  • Cross-functional collaboration with other teams to integrate large-scale datasets and use bioinformatics to define the factors associated with drug response and resistance
  • Develop computational methods and build tools to enable data-driven patient stratification and inform the development of clinical decision support products
  • Identify scientifically relevant findings within datasets spanning multiple modalities
  • Develop scalable computational solutions to further clinical data analysis automation across projects
  • Communicate findings both internally and externally and recommend follow up actions

Qualifications

  • Ph.D. in bioinformatics, engineering, statistics, biostatistics, biomedical engineering, cancer biology, immunology, genetics, or similar with 3+ years of industry experience or strong academic record.
  • Demonstrated ability of contributing to multi-disciplinary team projects.
  • Expertise with programming language such as R AND Python for complex data analysis and reproducible research practices.
  • Mastery in integrating and analyzing diverse high-dimensional data sets relevant to oncology, immunology, and other areas of clinical relevance.
  • Capability to conduct systematic analyses to evaluate multiple hypotheses and prioritize clinically-relevant questions.
  • Scientific curiosity with an ability to identify questions that computational approaches can address, and the skills to develop solutions both independently and collaboratively.
  • Excellent problem-solving and collaboration skills.
  • Strong communication, data presentation, and visualization skills.
  • Strong publication record.
The perfect candidate will also have...
  • Experience in Cardiovascular modeling
  • Timeseries data experience

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