

Bioinformatics Scientist - II
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Bioinformatics Scientist - II in Cambridge, MA, with a 1-year contract and pay rate of $68.00-$77.00 per hour. Required qualifications include a Ph.D., 3+ years in multi-omics analysis, proficiency in R, Python, and Bash.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
616
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ποΈ - Date discovered
July 19, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Cambridge, MA
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π§ - Skills detailed
#Python #AWS (Amazon Web Services) #Datasets #Documentation #R #IAM (Identity and Access Management) #Data Analysis #Databases #S3 (Amazon Simple Storage Service) #Data Integration #Cloud #Data Science #Data Ingestion #Bash
Role description
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Primary Talent Partners has an exciting opportunity for aΒ Bioinformatics Scientist - II at our client in Cambridge, MA.
Please see details below and apply if qualified and interested!
Job Title:Β Β Bioinformatics Scientist - II (Associate)
Length: 1 year to start
Location: Cambridge MA
Schedule/Hours:
Pay Range: $68.00-$77.00 per hour
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β’ Please only apply if you are available to work on our W2 (No corp to corp, 1099, or sponsorship available)
Job Overview:
The Precision Genetics group within the Data and Genome Sciences Department is seeking a skilled Contractor to join our Computational Precision Immunology team. We are looking for a data scientist with extensive experience in multi-modal and multi-scale data analyses to contribute to our innovative research efforts.
Qualifications (Required & Preferred):
β’ Ph.D. in Computational Biology or a related field.
β’ A proven track record of over 3 years in multi-omics analysis.
β’ Fundamental understanding of statistical methods and multi-omics data analysis and integration (e.g., RNA-Seq, single-cell RNA-Seq, genotype, spatial transcriptomics, OLINK).
β’ Proficiency in R, Python, and Bash, with the ability to establish best practices for reproducible data analyses.
β’ Experience with high-performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3 buckets).
β’ A collaborative and self-motivated individual with a strong work ethic, capable of managing multiple objectives in a dynamic environment and adapting to changing priorities.
β’ Excellent written and verbal communication skills.
Preferred Qualifications:
β’ Experience in processing and analyzing real-world data.
β’ Familiarity with spatial transcriptomics analysis.
β’ Knowledge of statistical and population genetics principles.
Note:
β’ Onsite role at Cambridge, MA.
Tasks & Responsibilities:
β’ Data Ingestion: Query external databases to acquire relevant multi-omics datasets (e.g., PubMed, Gene Expression Omnibus, ArrayExpress, gnomAD, GTEx, Ensembl).
β’ RNA-seq Analysis: Perform quality control (QC) and analysis of bulk and single-cell RNA-seq data using state-of-the-art methods (e.g., FastQC, STAR, Limma, DESeq2, clusterProfiler, Seurat, scanpy, LeafCutter).
β’ Multi-Omics Analysis: Analyze diverse molecular data types including spatial transcriptomics (e.g., Slide-seq, MERFISH, squidpy) and proteomics (e.g., OLINK, mass spectrometry-based approaches).
β’ Data Integration: Integrate multi-omics datasets, including gene/protein expression, mRNA splicing, spatial transcriptomics, and genotype data.
β’ Documentation: Prepare detailed documentation of analysis methods and results in a timely manner.
Primary Talent Partners is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.
If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at info@primarytalentpartners.com
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