Job summary
Job post source
This job is directly from Broad Institute of MIT and Harvard
Job overview
The Senior Computational Scientist I at Broad Institute leads the development of advanced NGS pipelines for liquid biopsy assays in pediatric oncology, impacting cancer detection and monitoring.
Responsibilities and impact
The role involves designing and improving NGS analysis pipelines, developing novel algorithms for somatic variant detection, benchmarking performance, collaborating with cross-functional teams, ensuring scalable workflows, mentoring juniors, and contributing to scientific communications and regulatory submissions.
Experience and skills
Requires a PhD in a related quantitative field with at least 3 years of experience, expertise in bioinformatics pipelines for NGS data, proficiency in multiple programming languages including Python or R and C++ or Rust, knowledge of liquid biopsy molecular biology, and experience with clinical assay validation and scientific communication.
Company information
The Broad Institute of MIT and Harvard is a leading biomedical research institute focused on translating scientific insights into clinical applications, particularly in cancer detection and monitoring.
Team overview
The candidate will join the Translational Analysis Group led by Dr. Mark Fleharty, collaborating with biologists, clinicians, data scientists, and software engineers.
Job location and travel
This is a full-time, on-site position at the Broad Institute of MIT and Harvard.
Unique job features
The role offers the opportunity to work on cutting-edge liquid biopsy technologies and contribute to clinically validated assays for pediatric oncology.
Company overview
The Broad Institute of MIT and Harvard is a biomedical and genomic research center that focuses on using genomics to advance understanding and treatment of diseases. They make money through a combination of grants, philanthropic donations, and partnerships with pharmaceutical companies. Founded in 2004, the institute has played a pivotal role in numerous groundbreaking projects, including the Human Genome Project and the development of CRISPR technology. Their collaborative approach brings together experts from various disciplines to tackle complex scientific challenges.
How to land this job
Position your resume to highlight your expertise in building and maintaining NGS pipelines, emphasizing experience with liquid biopsy assays and pediatric oncology applications, as these are central to the role at Broad Institute of MIT and Harvard.
Focus on showcasing your skills in programming languages such as Python, R, C++, or Rust, and your familiarity with workflow orchestration tools like Nextflow or Cromwell, as well as cloud or distributed computing environments to align with the job requirements.
Apply through multiple channels including the Broad Institute’s official careers page, LinkedIn, and relevant scientific job boards to maximize your application visibility.
Connect with current members of the Translational Analysis Group or related computational biology teams at Broad Institute on LinkedIn; use ice breakers such as commenting on recent publications by the group, asking about their approach to ultra-sensitive variant detection, or expressing enthusiasm for their work in pediatric oncology liquid biopsy.
Optimize your resume for ATS by incorporating keywords from the job description such as 'NGS pipelines,' 'liquid biopsy,' 'variant calling,' 'workflow orchestration,' 'ultra-sensitive detection,' and 'clinical assay validation' to ensure it passes automated screenings.
Leverage Jennie Johnson’s Power Apply feature to automate tailored applications, identify all available application portals, and find LinkedIn connections for networking, allowing you to focus more on preparing for interviews and skill development.
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