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Who We Are
Net2Source Inc. isn't just another staffing company, we're a powerhouse of innovation, connecting top talent with the right opportunities. Recognized for 300% growth in the past three years, we operate in 34 countries with a global team of 5,500+. Our mission? To bridge the talent gap with precision Right Talent. Right Time. Right Place. Right Price.
Contract Duration: 24 months
Location: Cambridge, MA
Department: Data and Genome Sciences
Group: Precision Genetics
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.
Key Responsibilities:
" Data Ingestion: Query external databases to acquire relevant multi-omics datasets (e.g., PubMed, Gene Expression Omnibus, ArrayExpress, gnomAD, GTEx, Ensembl)
" 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)
" 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)
" Data Integration: Integrate multi-omics datasets, including gene/protein expression, mRNA splicing, spatial transcriptomics, and genotype data
" Documentation: Prepare detailed documentation of analysis methods and results in a timely manner
Required Qualifications:
" Ph.D. in Computational Biology or a related field
" A proven track record of over 3 years in multi-omics analysis
" Fundamental understanding of statistical methods and multi-omics data analysis and integration (e.g., RNA-Seq, single-cell RNA-Seq, genotype, spatial transcriptomics, OLINK)
" Proficiency in R, Python, and Bash, with the ability to establish best practices for reproducible data analyses
" Experience with high-performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3 buckets)
" 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
" Excellent written and verbal communication skills
Preferred Qualifications:
" Experience in processing and analyzing real-world data
" Familiarity with spatial transcriptomics analysis
" Knowledge of statistical and population genetics principles
Note:
" Onsite role at Cambridge, MA
" Do not submit candidates who are looking for remote
" Do not submit candidates with just BS/MS
Why Work With Us?
We believe in more than just jobs we build careers. At Net2Source, we champion leadership at all levels, celebrate diverse perspectives, and empower you to make an impact. Think work-life balance, professional growth, and a collaborative culture where your ideas matter.
Our Commitment to Inclusion & Equity
Net2Source is an equal opportunity employer, dedicated to fostering a workplace where diverse talents and perspectives are valued. We make all employment decisions based on merit, ensuring a culture of respect, fairness, and opportunity for all, regardless of age, gender, ethnicity, disability, or other protected characteristics.
Awards & Recognition
" America's Most Honored Businesses (Top 10%)
" Fastest-Growing Staffing Firm by Staffing Industry Analysts
" INC 5000 List for Eight Consecutive Years
" Top 100 by Dallas Business Journal
" Spirit of Alliance Award by Agile1
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