Broad Institute of MIT and Harvard · 5 days ago
Computational Scientist for SMaHT Project
The Broad Institute of MIT and Harvard is seeking a Computational Scientist for the SMaHT Project, which aims to catalog somatic genetic variation across human tissues. The successful candidate will lead data curation and analyses, working with multimodal data to develop novel analytical methods and coordinate with multiple groups within the SMaHT Network.
BiotechnologyClinical TrialsLife Science
Responsibilities
Design and execute data QC and analysis strategies involving multimodal human tissue datasets, and specifically lead whole-genome short and long-read DNA sequencing data, RNA sequencing, and somatic mutation analyses. Prior experience working with long-read genomics and transcriptomics data is required
Apply and develop state-of-the-art computational tools and pipelines to a) assess data quality, b) integrate diverse data types and metadata, and c) detect somatic mutations and subsequent downstream analyses
Collaborate with, and provide analytical support for, internal technology development efforts for the application of novel strategies to detect somatic mutations
Together with others, develop new methodologies and evaluate new methods for integrative analysis of these genomic data types
Present ideas and results to the multi-disciplinary members of the SMaHT Network. Prepare written reports and presentations for internal use as well as presentations at SMaHT Network and other conferences
Qualification
Required
PhD in Genomics, Bioinformatics, Computational Biology, Computer Science, Statistics, Math, or a related quantitative field is required with 2+yrs of industry experience
Experience with computational analysis, algorithm development, and statistics is expected
Proven track record of leading complex data curation or analysis projects, ideally within large-scale consortia, is a strong plus
Extensive experience with analyzing high-throughput biological data, specifically long-read genomic (PacBio/Oxford Nanopore) and transcriptomic data (RNAseq), is required
Proficiency in developing and maintaining reproducible computational pipelines using languages such as Python, R, or C++, and workflow managers like WDL, Nextflow, or Snakemake
Experience working in cloud-based environments (e.g., Google Cloud Platform/Terra, AWS) to manage and process petabyte-scale datasets
Strong background in detecting and interpreting single nucleotide variants (SNVs), indels, and structural variants (SVs) in human samples
Demonstrated ability to integrate and analyze diverse data types, including transcriptomics (RNA-seq), epigenomics, and duplex sequencing is a strong plus
Ability to manage timelines and deliverables across multiple interdisciplinary groups both within the Broad Institute and external collaborators within the network (e.g. the Data Analysis Center)
Excellent verbal and written communication skills, with the ability to present complex technical results to both specialist and generalist audiences
A high degree of motivation to work in a fast-paced, evolving research environment on a high-stakes, 5-year NIH-funded initiative
Benefits
Medical, dental, vision, life, and disability insurance
401(k) retirement plan
Flexible spending and health savings accounts
At least 13 paid holidays
Winter closure
Paid time off
Parental and family care leave
Employee assistance program
Company
Broad Institute of MIT and Harvard
The Broad Institute brings together a diverse group of individuals from across its partner institutions — undergraduate and graduate students, postdoctoral fellows, professional scientists, administrative professionals, and academic faculty.
H1B Sponsorship
Broad Institute of MIT and Harvard has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (108)
2024 (59)
2023 (73)
2022 (68)
2021 (70)
2020 (93)
Funding
Current Stage
Late StageTotal Funding
$283.25MKey Investors
MacArthur FoundationAlzheimer's Foundation of AmericaMassachusetts Life Sciences Center
2025-11-18Grant· $100M
2020-08-11Grant
2019-09-09Grant· $0.75M
Leadership Team
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