Job Description

HuBMAP Senior Bioinformatician


Cambridge / RemoteMassachusetts

Date Posted:


Employment Type:



Mohamed Barami

Recruiter Email:

Job ID:

JN -032021-14420

Job Description

HuBMAP Senior Bioinformatician

We are looking for a Senior Bioinformatician to join our team, for an exciting opportunity. Understanding how cellular organization influences the function of human tissues is critical for deeper insights into tissue growth, processes related to aging, and the emergence of disease. Our lab is part of the Human BioMolecular Atlas Program (HuBMAP), an NIH Common Fund consortium that studies cellular organization in human tissues. The HuBMAP Consortium will provide standardized and validated datasets that will shed light on how cells are organized. These datasets will also yield insights into the variation in the cellular organization of normal tissues. The generation of these datasets will be made possible by the development of new experimental technologies and informatics tools funded by HuBMAP.

The Senior Bioinformatician will be a part of the team responsible for collecting, curating, and displaying data generated by the HuBMAP Consortium in a Findable, Accessible, Interoperable, and Re-usable (FAIR) manner. The individual will participate in the specification, design, and implementation of tools that integrate, search, and display the data, working closely with data curators, software engineers, and research staff. The successful candidate must be able to learn and work independently, yet collaborate effectively with local co-workers and remote project partners.


Required skills & experience

  • Ph.D. in Bioinformatics, Computational Biology, Biomedical Informatics, Computer Science, Molecular Biology, or a related field and 3 years work experience, or a master’s degree and 5 years work experience
  • Experience with modern high-throughput genomics or bioimaging experiments and their data types, analysis tools, and file formats
  • Experience in writing software for data wrangling, analysis, and management in Python and/or R


  • Experience working with (spatial) single-cell data or assays
  • Working knowledge of cell biology, genetics, and other areas of molecular biology
  • Experience with REST APIs, (graph) databases, Elasticsearch, software development practices, and version control
  • Project management skills including team management, issue management, and change management
  • Strong verbal and written communication skills
  • Ability to understand scientific literature, experimental procedures, and their limitations, and current needs of the research community


This is a one-year grant-funded position available immediately with a strong possibility of renewal.

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