

Bristol Myers Squibb
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in San Diego, CA, for 6 months at $90 to $99.91/hr. Requires strong coding skills in R and/or Python, bioinformatics background, and experience with RNA-Seq. Hybrid work with at least 50% onsite presence.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
792
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🗓️ - Date
February 6, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
San Diego, CA
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🧠 - Skills detailed
#R #Computer Science #Data Science #Java #Python #"ETL (Extract #Transform #Load)" #Metadata #Datasets
Role description
Job Title: Data Scientist
Location: San Diego, CA
Duration:6 months
Pay range : $90 to $99.91/hr on w2
Hybrid work; role requires onsite presence at least 50% of the time
Job Description:
• Top Skills:
• Strong coding skills in either R (preferred) and/or python. Experience in Java desired but not mandatory
• Background in bioinformatics, experience working with RNA-Seq and other NGS data
About:
The Protein Homeostasis (PH) IPS team is part of the Informatics and Predictive Sciences division at client, with a strong focus on supporting early-stage pharmaceutical programs. This position will provide cross-portfolio support by enabling scientists to readily interrogate available molecular and meta-data across a diverse spectrum of pre-clinical, patient derived models (organoids, xenographs). The successful candidate will be responsible for QCing, harmonizing, and ingesting omics and other datasets programmatically, developing code to facilitate the principles of reproducible research. In addition this role will involve managing the incorporation of newly curated data into a proprietary interface to facilitate accessibility and visibility of patient derived models to scientists across client.
Responsibilities:
• Compile and harmonize de-identified patient meta-data from multiple internal and external resources (includes clinical treatment history, clinical characteristics, patient demographics, model growth parameters, etc)
• Compile and format omics datasets from multiple internal and external resources including RNASeq, DNASeq, Copy Number and scRNASeq datasets
• Develop automated scripts to help harmonize datasets from multiple data sources
• Load formatted datasets into a proprietary interface to enable access by all client employees
• This role may extend to providing some high-level QC assessment of data sets based on a defined set of parameters
Requirements:
• Strong coding skills in either R (preferred) and/or python. Experience in Java desired but not mandatory
• Background in bioinformatics, experience working with RNA-Seq and other NGS data
• Bachelors degree in bioinformatics, biology, computer science, or a related field, with 3+ years of hands-on bioinformatics experience affter graduation, in industry or academia
Preferred : experience in cancer
Job Title: Data Scientist
Location: San Diego, CA
Duration:6 months
Pay range : $90 to $99.91/hr on w2
Hybrid work; role requires onsite presence at least 50% of the time
Job Description:
• Top Skills:
• Strong coding skills in either R (preferred) and/or python. Experience in Java desired but not mandatory
• Background in bioinformatics, experience working with RNA-Seq and other NGS data
About:
The Protein Homeostasis (PH) IPS team is part of the Informatics and Predictive Sciences division at client, with a strong focus on supporting early-stage pharmaceutical programs. This position will provide cross-portfolio support by enabling scientists to readily interrogate available molecular and meta-data across a diverse spectrum of pre-clinical, patient derived models (organoids, xenographs). The successful candidate will be responsible for QCing, harmonizing, and ingesting omics and other datasets programmatically, developing code to facilitate the principles of reproducible research. In addition this role will involve managing the incorporation of newly curated data into a proprietary interface to facilitate accessibility and visibility of patient derived models to scientists across client.
Responsibilities:
• Compile and harmonize de-identified patient meta-data from multiple internal and external resources (includes clinical treatment history, clinical characteristics, patient demographics, model growth parameters, etc)
• Compile and format omics datasets from multiple internal and external resources including RNASeq, DNASeq, Copy Number and scRNASeq datasets
• Develop automated scripts to help harmonize datasets from multiple data sources
• Load formatted datasets into a proprietary interface to enable access by all client employees
• This role may extend to providing some high-level QC assessment of data sets based on a defined set of parameters
Requirements:
• Strong coding skills in either R (preferred) and/or python. Experience in Java desired but not mandatory
• Background in bioinformatics, experience working with RNA-Seq and other NGS data
• Bachelors degree in bioinformatics, biology, computer science, or a related field, with 3+ years of hands-on bioinformatics experience affter graduation, in industry or academia
Preferred : experience in cancer





