Bioinformatics Scientist II Associate
- Spectraforce Technologies
- Cambridge, Massachusetts
- Full Time
Bioinformatics Scientist II Associate
Spectraforce Technologies
United States, Massachusetts, Cambridge
Jul 18, 2025
Position Title: Bioinformatics Scientist - II (Associate)
Work Location: Cambridge, MA 02141
Assignment Duration: 23 months
Work Schedule: M-F 8-5
Work Arrangement: Onsite
Position Summary: The Precision Genetics group seeks a data scientist for multi-modal, multi-scale data analyses to support innovative research efforts.
Background & Context:
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.
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.
Qualification & Experience:
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: Experience in processing and analyzing real-world data.
Preferred: Familiarity with spatial transcriptomics analysis.
Preferred: Knowledge of statistical and population genetics principles.
Spectraforce Technologies
United States, Massachusetts, Cambridge
Jul 18, 2025
Position Title: Bioinformatics Scientist - II (Associate)
Work Location: Cambridge, MA 02141
Assignment Duration: 23 months
Work Schedule: M-F 8-5
Work Arrangement: Onsite
Position Summary: The Precision Genetics group seeks a data scientist for multi-modal, multi-scale data analyses to support innovative research efforts.
Background & Context:
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.
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.
Qualification & Experience:
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: Experience in processing and analyzing real-world data.
Preferred: Familiarity with spatial transcriptomics analysis.
Preferred: Knowledge of statistical and population genetics principles.
Job ID: 486148097
Originally Posted on: 7/20/2025
Want to find more Chemistry opportunities?
Check out the 16,232 verified Chemistry jobs on iHireChemists
Similar Jobs
Sign Up for Job Alerts
