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Job Requirements of Computational Biologist:
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Employment Type:
Contractor
-
Location:
San Diego, CA (Onsite)
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Computational Biologist
Careers Integrated Resources Inc
San Diego, CA (Onsite)
Contractor
Title: Data Scientist / Computational Biologist
Location: San Diego, CA
Hybrid work: role requires onsite presence at least 50% of the time
Top Must Skills:
• Compile and harmonize datasets used for target evaluation (e.g., TCGA, DepMap, GTEx, etc.)
• Strong coding skills in either Python (preferred) and/or R
• Background in bioinformatics – experience working with RNA-seq and other NGS data
Responsibilities:
• Compile and harmonize datasets used for target evaluation (e.g., TCGA, DepMap, GTEx, etc.)
• Generate pre-computed statistical analyses on these datasets (e.g., lineage-specific sensitivity in DepMap, predictive biomarkers, differential expression analysis, pathway enrichment, survival analysis, etc.)
• Disseminate both harmonized data and precomputed results via Client data portals
• Assist with curation, compilation, and standardization of screening datasets generated by internal and external collaborators
• Develop/implement ways to visualize results
Requirements:
• Strong coding skills in either Python (preferred) and/or R
• Background in bioinformatics – experience working with RNA-seq and other NGS data
• Experience with commonly used cancer datasets – e.g., TCGA
• Bachelor’s degree in bioinformatics, biology, computer science, or a related field, with 3+ years of hands-on bioinformatics experience after graduation, in industry or academia
• Strongly preferred – experience in cancer
• Preferred – experience with drug development/discovery
Location: San Diego, CA
Hybrid work: role requires onsite presence at least 50% of the time
Top Must Skills:
• Compile and harmonize datasets used for target evaluation (e.g., TCGA, DepMap, GTEx, etc.)
• Strong coding skills in either Python (preferred) and/or R
• Background in bioinformatics – experience working with RNA-seq and other NGS data
Responsibilities:
• Compile and harmonize datasets used for target evaluation (e.g., TCGA, DepMap, GTEx, etc.)
• Generate pre-computed statistical analyses on these datasets (e.g., lineage-specific sensitivity in DepMap, predictive biomarkers, differential expression analysis, pathway enrichment, survival analysis, etc.)
• Disseminate both harmonized data and precomputed results via Client data portals
• Assist with curation, compilation, and standardization of screening datasets generated by internal and external collaborators
• Develop/implement ways to visualize results
Requirements:
• Strong coding skills in either Python (preferred) and/or R
• Background in bioinformatics – experience working with RNA-seq and other NGS data
• Experience with commonly used cancer datasets – e.g., TCGA
• Bachelor’s degree in bioinformatics, biology, computer science, or a related field, with 3+ years of hands-on bioinformatics experience after graduation, in industry or academia
• Strongly preferred – experience in cancer
• Preferred – experience with drug development/discovery
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