Computational Biologist

Summary of Position

Quiver is seeking a Computational Biologist to support the analysis and interpretation of all-optical electrophysiology data, with a strong focus on extracting meaningful biological insights from complex experimental results. This individual will play a central role in advancing our understanding of neuronal activity and disease mechanisms as part of a collaborative team driving therapeutic discovery for CNS disorders. The ideal candidate will have a strong foundation in statistics, experimental design, and data analysis, particularly in the context of neurobiology or cellular physiology. They should be enthusiastic about applying quantitative methods to interpret and develop assays of neuronal behavior. A background in bioinformatics and experience with experimental biology would be beneficial.

This role emphasizes scientific analysis and data-driven hypothesis testing. The successful candidate will be excited to dive into real experimental data, work closely with cell biologists and neuroscientists, and help translate raw signals into biological understanding. Familiarity with programming (particularly R and python) is expected as a tool for rigorous, reproducible data analysis. We are looking for someone intellectually curious and motivated to continuously learn across diverse experimental and analytical domains.

This position is based in Cambridge, MA, with the expectation of on-site presence 3-4 days per week to support lab integration, team meetings, and collaborative project work. Fully remote applicants will not be considered.
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Responsibilities and Duties

  • Assist biologists with experimental design and implementation.
  • Organize and perform quality control on experimental data.
  • Conduct reproducible analyses and generate clear, effective reports.
  • Analyze electrophysiological data to serve research project goals. Draw sound inferences from complex experiments and generate effective visualizations of complex, high-dimensional data.
  • Interpret experimental results and clearly communicate research findings to biologists and other stakeholders.
  • Potential opportunities for analysis of transcriptomics datasets (scRNA-seq) and development of novel assays of neuronal function (signal processing, image/movie analysis).

Minimum Qualifications Required

  • MS or PhD (preferred) in Biology, Computational Biology, Bioinformatics, or a related technical discipline.
  • Strong background in statistics, data analysis, effective data visualization, and experimental design.
  • Fluency in R and exposure to python for data visualization and analysis.
  • Excellent verbal/written communication and problem-solving skills.

Additional Qualifications Desired

  • Background in neuroscience and hands-on experimental biology experience.
  • Machine learning and bioinformatics experience (omics data analysis).
  • Experience with other programming languages (Matlab, shell scripting).
  • Experience with docker, Rmarkdown, and/or Jupyter notebooks for data analysis and report generation.

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