BioSpace
Overview
We're hiring
Senior Data Scientists
with expertise in integrating and analyzing multi-omic datasets to identify diagnostic disease signatures and find actionable targets for drug development. These scientists would work in ICR's Translational Bioinformatics Group, focusing on rare and hard-to-diagnose diseases. Strong programming and statistics backgrounds are required, and machine learning experience is preferred. Responsibilities
Perform high-impact, high-reward rare and hard-to-diagnose disease work Discover novel diagnostic disease signatures and uncover actionable targets for drug development Integrate and analyze multi-omic datasets (e.g., genomic, epigenomic, transcriptomic, proteomic, metabolomic, clinomic) Qualifications
At least post-doctoral level experience analyzing -omic datasets or an MS degree with 5+ years experience in -omic dataset analysis Extensive programming experience A strong statistics background, particularly in descriptive and predictive statistics Ideally, You'll Also
Be knowledgeable of machine learning techniques Be interested in rare and hard-to-diagnose human diseases And You'll Need
The ability to work in the United States without sponsorship A friendly, easygoing personality Salary
Position title and compensation are commensurate with experience. Starting base pay range: $135,000/yr - $185,000/yr Starting additional compensation range: $7,500/yr - $20,000/yr
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We're hiring
Senior Data Scientists
with expertise in integrating and analyzing multi-omic datasets to identify diagnostic disease signatures and find actionable targets for drug development. These scientists would work in ICR's Translational Bioinformatics Group, focusing on rare and hard-to-diagnose diseases. Strong programming and statistics backgrounds are required, and machine learning experience is preferred. Responsibilities
Perform high-impact, high-reward rare and hard-to-diagnose disease work Discover novel diagnostic disease signatures and uncover actionable targets for drug development Integrate and analyze multi-omic datasets (e.g., genomic, epigenomic, transcriptomic, proteomic, metabolomic, clinomic) Qualifications
At least post-doctoral level experience analyzing -omic datasets or an MS degree with 5+ years experience in -omic dataset analysis Extensive programming experience A strong statistics background, particularly in descriptive and predictive statistics Ideally, You'll Also
Be knowledgeable of machine learning techniques Be interested in rare and hard-to-diagnose human diseases And You'll Need
The ability to work in the United States without sponsorship A friendly, easygoing personality Salary
Position title and compensation are commensurate with experience. Starting base pay range: $135,000/yr - $185,000/yr Starting additional compensation range: $7,500/yr - $20,000/yr
#J-18808-Ljbffr