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About the MacArthur Lab

We are a tight-knit research group jointly based as Massachusetts General Hospital and the Broad Institute of Harvard and MIT, and leveraging the largest genomic data sets in the world and cutting-edge analysis methods to make sense of human genetic variation. We’re committed to open data and open-source code, as well as experimenting with new methods of communication. Working with us is a chance to learn from experts in computational biology, large-scale genomics, variant interpretation, software development and clinical genomics, as well as to make a difference to the lives of hundreds of families affected by rare diseases.


Software Engineer: complex disease browser and related portals.
The MacArthur Lab software engineering team is building the tools necessary to visualize and interpret massive data sets of human genetic variation and functional genomic information. We have developed several portals, including the ExAC and gnomAD browsers (gnomad.broadinstitute.org), which are now widely used across the genomics community. Your role will be to use the gnomAD browser as a starting point to develop new tools that present datasets from large-scale autism and schizophrenia studies, providing the complex disease community with new ways of interacting with data from very large disease association studies. You will work with a team of software engineers and computational biologists to develop new features, create visualizations, and incorporate user feedback.Software engineering skills and an interest in user interface design and data visualization are key. Basic familiarity with genomics and DNA sequencing data is preferred, but not required. Most importantly, the ideal candidate will have enthusiasm for learning new domains and the ability to write exceptional software.

Requirements:

  • Bachelors/Masters/PhD degree in Computer Science or related field
  • Highly collaborative and able to work well in a team
  • Ability to build high-quality web-based applications
  • Proficiency in javascript and python
  • Experience working with databases
  • Experience with Django, Flask, D3, React.js frameworks a big plus
  • Experience with bioinformatics datasets and analyses a big plus
  • Excellent communication skills
  • Demonstrated attention to detail and analytical skills

Please apply via the Broad Institute careers site.


Associate Computational Biologist: Broad Center for Mendelian Genomics.
We are searching for an enthusiastic analyst to interpret rare disease exomes and genomes in order to identify causal candidate genes and variants. This will involve utilizing scalable pipelines required for the analysis of large genomic data sets. Lastly, the candidate will also manage and coordinate activities for their respective rare disease cohorts, working closely with a set of clinical collaborators from around the world.

This candidate will work in close collaboration with members of the Broad Center of Mendelian Genomics comprising of analyst, genetic counselors and clinicians. The candidate will present results and progress regular team and other Broad meetings. The candidate should have a strong background in genetics or related discipline, have fluency with human disease genetics, and be able to adapt quickly and be part of a cross-functional team in a rapidly changing environment.

This is an opportunity to work at the interface between large-scale genomics, informatics, and disease genetics, and to have an impact on the lives of hundreds of families affected by rare, severe diseases.

Requirements:

  • Undergraduate degree in Science, or other relevant discipline or equivalent experience required
  • Experience in rare disease analysis and variant interpretation
  • Basic understanding of human genetics and next-generation DNA sequencing
  • Familiarity with genomic data, tools and databases
  • Demonstrated attention to detail and analytical skills
  • Excellent communication skills
  • Excellent organization and time management skills
  • Highly collaborative and able to work well in a team
  • Technical Experience in Python, Java, Perl, R, SQL, C++, Unix desired but not necessary

Please apply via LinkedIn .


Academic Positions

Currently, we have no funded postdoc positions available – details will be updated here as new roles become available.

General Enquiries

We’re always open to enquiries about graduate student or postdoctoral positions. In general, we’re looking for people with a strong computational background capable of dealing with very large genomic data-sets, or with a sufficiently quantitative background to be able to quickly pick up high-level computational skills. Direct experience with DNA or RNA sequencing data is a major plus. Most importantly, we’re looking for people who are passionate about the translation of genomics into clinical practice, and have the right personality to work in a fast-paced and highly collaborative environment.

To apply, email Daniel with your CV.