Broad Institute of MIT and Harvard

Computational Scientist - Proteomics

CAMBRIDGE, MAPosted 30+ days ago

Job summary

  • Job post source

    This job is directly from Broad Institute of MIT and Harvard

  • Job overview

    The Computational Scientist - Proteomics will develop and apply computational methods to analyze proteogenomics data, contributing to innovative research in various diseases.

  • Responsibilities and impact

    Daily tasks include analyzing large-scale multi-omics data, developing data analysis strategies, writing algorithms, and collaborating with wet-lab researchers to translate models into experiments.

  • Experience and skills

    Candidates must have a Ph.D. in a quantitative discipline, at least 3 years of experience with large-scale data analysis, and strong skills in statistics and machine learning, particularly in pathway and network analysis.

  • Work environment and culture

    The Broad Institute fosters a collaborative environment with world-class researchers and offers opportunities to contribute to significant scientific publications.

  • Company information

    The Broad Institute of MIT and Harvard is a leading biomedical and genomic research institution known for its innovative contributions to the fields of genomics and proteomics.

  • Team overview

    The candidate will join an interdisciplinary team of proteomics and computational scientists, biologists, and clinicians, contributing to large-scale NIH-funded consortia.

  • Unique job features

    The role offers the chance to work on cutting-edge research projects and collaborate with leading scientists in the field.

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

  • Tailor your resume to showcase your expertise in computational methods, particularly in the analysis of large-scale omics datasets, emphasizing your experience with proteogenomics and related fields.

  • Highlight your strong background in statistics and machine learning, making sure to include relevant techniques such as pathway and network analysis, as these are key components of the role.

  • Apply through multiple platforms including the Broad Institute's corporate site and LinkedIn to enhance your visibility to recruiters and increase your chances of being contacted for potential opportunities.

  • Connect with professionals in the proteomics division at the Broad Institute on LinkedIn, and when reaching out, consider ice breakers like discussing recent publications from their team or expressing interest in their work with NIH-funded consortia.

  • Optimize your resume for ATS systems by incorporating specific keywords from the job description, such as 'proteomics', 'machine learning', and 'large-scale data analysis', to ensure it passes initial screenings.

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