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Broad Institute of MIT and Harvard

Senior Computational Scientist I

Broad Institute of MIT and Harvard, Burlington, Massachusetts, us, 01805

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Senior Computational Scientist I

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Senior Computational Scientist I

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Broad Institute of MIT and Harvard The Translational Analysis Group (TAG) at [1] the Broad Institute of MIT and Harvard, led by Dr. Mark Fleharty, is seeking a Senior Computational Scientist I with extensive experience building and maintaining NGS pipelines. In this full-time, on-site role, you will design and implement next-generation workflows for liquid biopsy assays in pediatric oncology. You’ll collaborate with biologists, clinicians, data scientists, and software engineers to translate novel scientific insights into production-ready computational tools. TAG’s mission is to move liquid biopsy from proof-of-concept to clinically validated assays for sensitive cancer detection and monitoring in children.

Responsibilities As a Senior Computational Scientist I, you will:

* Lead the design, implementation, and continuous improvement of robust, reproducible pipelines for analysis of liquid biopsy NGS data—encompassing sample QC, alignment, error correction, variant calling, annotation, and results delivery. * Develop and validate novel algorithms for ultra-sensitive detection of somatic variants, rare event calling, and multi-modal biomarker integration. * Drive performance benchmarking and analytical validation using both synthetic and clinical datasets; partner with wet lab and clinical teams to refine pipeline inputs and outputs. * Collaborate closely with software engineers to ensure scalable, production-ready workflows and with wet lab scientists to ensure computational methods fit experimental realities. * Champion best practices in version control, code review, automated testing, and documentation (e.g., GitHub, containerization, CI/CD pipelines) * Mentor and advise junior computational team members; foster a culture of knowledge sharing, curiosity, and continual learning. * Present findings and methods to internal and external stakeholders, contribute to publications, grants, and regulatory submissions. * Remain at the forefront of new technologies and methods in the liquid biopsy and bioinformatics space, actively shaping our analytical strategy and scientific vision.

Qualifications:

* PhD in Bioinformatics, Computational Biology, Computer Science, Engineering, or related quantitative discipline. * Minimum of 3 years of related experience. * Proven expertise developing, optimizing, and maintaining advanced bioinformatics pipelines for NGS data, preferably in liquid biopsy, minimal residual disease, or somatic variant detection contexts. * Mastery of at least two programming languages, including one higher-level language such as Python or R, and one lower-level language such as C++ or Rust, for data analysis and pipeline development; experience with workflow orchestration tools (e.g., Nextflow, Cromwell) and cloud or distributed computing environments. * Deep understanding of molecular biology underlying liquid biopsy technologies—cfDNA/ctDNA biology, error suppression, and the statistical and technical nuances of ultra-low-frequency variant detection. * Demonstrated experience benchmarking analytical methods, using gold-standard truth sets and orthogonal validation, and familiarity with clinical assay validation requirements (e.g., CLIA, CAP, frameworks) * Excellence in scientific communication—clear, actionable reporting, documentation, and team-wide dissemination of best practices. * Strong track record of cross-functional teamwork, mentoring, and capacity-building in computational teams. * Self-motivated, adaptable, detail-oriented; able to manage multiple priorities in a fast-evolving environment. * Commitment to scientific rigor, reproducibility, and open, collaborative problem-solving.

References

Visible links 1. https://www.broadinstitute.org/ Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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