Job Openings

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.

Staff Positions

Computational Biologist: clinical application development for the Genome Aggregation Database.
This position will be funded as a joint role between the MacArthur lab ( at Broad Institute of MIT and Harvard and the Transforming Genetic Medicine Initiative (TGMI;, led by Prof Nazneen Rahman in London. The post will be based at the Broad in Boston, but will involve some travel and regular conference calls between Boston and the UK to facilitate collaboration across the teams.

The Genome Aggregation Database (gnomAD, the successor to ExAC) at the Broad Institute, is a pioneer in genomic data aggregation, assembling and harmonizing over 60,000 exomes in its first release and expanding to more than 120,000 exomes and 15,000 genomes in its second release this fall. The gnomAD browser ( is already widely used for clinical variant interpretation and as a general resource for genetic variation, garnering over 5.5 million page views to date.

The TGMI brings together a multi-national team of researchers and clinicians focused on ensuring the promise of genetic medicine is delivered. The program, funded by Wellcome Trust, aims to undertake the scientific research, development and dissemination required for large-scale genetic testing to be integrated into mainstream medicine. This position will, in particular, play a role in the program’s objective to develop integrated approaches that use multi-source, multi-population data to deliver the fast, automated, large-scale, high-throughput gene variation interpretation required for genetic medicine to work around the globe. The work will involve interactions with collaborators across a range of institutions, including the Institute of Cancer Research, Wellcome Trust Sanger Institute, the European Bioinformatics Institute and the Wellcome Trust Centre for Human Genetics in Oxford,

We are seeking a Ph.D. level computational biologist to help us establish gnomAD as a more powerful resource for clinical genetics. This position will be focused on methods development, specifically to develop methods for using massive-scale frequency databases to assess variant pathogenicity. This individual will work closely with a variety of computational biologists, software engineers, biologists and clinical geneticists; we are specifically looking for a candidate who works well in teams.


  • Ph.D. in mathematics, computer science, biology etc. with relevant experience or formal training in computational biology, bioinformatics or statistics.
  • Demonstrated expertise in statistical methods in data analysis, preferably with applications to large-scale sequencing data
  • Considerable programming experience, ideally with demonstrated proficiency in Python and R
  • Experience in web development is a plus
  • Direct experience with clinical genetic data, such as the details of HGVS formatting and clinical transcript selection, is a major plus
  • Experience working with biologists and/or clinicians is strongly preferred

Please apply via the Broad Institute careers site.

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 (, 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.


  • 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.

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.