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Bioinformatics Scientist - II

Careers Integrated Resources Inc Cambridge, MA (Onsite) Contractor
Job Title: Bioinformatics Scientist - II
Job Location: Cambridge, MA
Job Duration: 23-24 Months( possibility of extension)
Payrange: $75 - $77/ hr on w2

Job Summary:
  • 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.
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Job Snapshot

Employee Type

Contractor

Location

Cambridge, MA (Onsite)

Job Type

Other

Experience

Not Specified

Date Posted

06/10/2025

Job ID

25-48503

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