Job Description

The Klarman Cell Observatory (KCO) is looking for a Computational Biologist to support collaborative research projects. Come join a team of researchers excited to learn and make an impact on human health! We use genomics to study cells and tissues in both health and disease, and our group has strong connections between wet labs, dry labs, and clinicians. Some of our recent work includes: single-cell genomics of the human colon during health and disease (Cell, 2019), single-nucleus mapping of the enteric nervous system (Cell, 2020), a toolbox outlining protocols for single-cell transcriptomics of tumors (Nature Medicine, 2020), and a COVID-19 tissue atlas (Nature, 2020).

What you'll do:

• Lead single-cell and spatial transcriptomics analyses on projects from an exciting variety of research areas (e.g., immunology, gut and gut diseases, cancer, microbiome).




• Develop new analysis methods and/or evaluate new methods by following the relevant scientific literature.




• Develop, enhance, and maintain current and new bioinformatics pipelines.




• Regularly attend meetings and present your work to a multidisciplinary team of scientists in the KCO and Xavier Lab, and publish completed studies.




• Collaborate with research scientists in the KCO to design and optimize experiments and analyses.




• Work with our collaborators at the Broad Institute, MGH, MIT, and Harvard.

Qualifications:

• PhD in Computer Science, Engineering, Mathematics, Statistics, Biology, Bioinformatics, or a related field.




• Basic understanding of one or more related areas of biology.




• Solid understanding of data science principles (e.g., statistics, algorithms).




• Fluency in Python and/or R.




• Comfort working independently as well as part of an interdisciplinary team.




• Ability to effectively communicate science with specialists and non-specialists.

Nice to have:

• Expertise in NGS data analysis (i.e. Illumina, Nanopore, single-cell) including execution of standard workflows and development of novel methods.




• Experience applying modern algorithmic approaches including classic machine learning and deep learning to analyze omics datasets.

We are looking for enthusiastic candidates who are eager to learn and have an impact on science. If this is you, please feel free to apply even if you are unsure whether you perfectly meet the qualifications. PLEASE INCLUDE A COVER LETTER WITH YOUR APPLICATION

"All computational scientists at Broad are encouraged to continue developing their expertise by engaging with the wider computational community through Broad's vibrant Models, Inference & Algorithms Initiative (broadinstitute.org/mia)."

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All Broad employees, regardless of work location, must be fully vaccinated for COVID-19 by Tuesday, October 12, 2021. Requests for exemption for medical or sincerely held religious beliefs will be considered.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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