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Senior Scientist of Computational Biologist (US-MA-Cambridge)


  • PhD in computational biology, bioinformatics or equivalent.
  • A minimum of 4 years relevant experience is required. Academic Research and Post Doc experience that demonstrated both technical and collaborative skills will be considered.
  • Fluency in various machine and deep learning applications/design especially regarding neural networks (Markov chains/fields, generic algorithms, PCAs, ICAs, and ensemble methods are greatly appreciated and respected)
  • Familiarity with general purpose programming languages including but not limited to: Python, C/C++, Matlab
  • Strong understanding of data structures, algorithms, and design patternDemonstrated experience in data curation, data mining and an ability to interrogate, interpret, and visualize large and diverse, biological and toxicological datasets
  • Demonstrated ability to independently develop and implement computational workflows starting from raw data through analysis, hypothesis generation and visualization
  • Demonstrated experience in leveraging in silico methodologies to drive drug discovery projects
  • Familiarity with proteomic and genomic data analysis and systems biology software
  • Demonstrated experience and ability to work effectively in a matrix, global environment as part of a multidisciplinary team
  • Skilled in clearly communicating complex computational approaches and methodology to non-computational scientists
  • Strong, written, oral communication and influencing skills are essential
  • Ideal candidate will be a software engineer or computational biologist that can think from the point of view of a biologist while understanding computer science / software engineering at a deep level; very close interaction with molecular / cell biologists will be expected at every level from tool / algorithm design, curation / quality control, analysis, and code testing to ultimately delivering algorithms and tools (Bioinformatics Software Engineer) or insights and recommendations (Computational Biologist) to other researchers and decision makers
  • Wide understanding of both biology and computational biology
  • Experience working in fast paced team environments (industry and start-up experience is a plus)
  • Ability to understand and make decisions and recommendations about high level strategy as well as about the details of an analysis project or experiment
  • Extensive experience in bioinformatics, software engineering / testing / validation, data curation, large scale data and NGS analysis, statistics, or statistical model building, as evidenced by productive and successful programs and/or publications
  • Experience with Git, R Markdown / LaTeX
  • Cloud compute experience (AWS)
  • Strong leadership and management skills, excellent verbal and written communication
  • Familiarity with cell and molecular biology techniques, NGS, gene editing and/or CRISPR/Cas9 biology
  • A high degree of energy, accuracy and attention to detail, and a passion for creating transformative gene-based medicines to patients with serious diseases