Senior Scientist Computational Biology (Multi-Omics / Transcriptomics) Position Available In Middlesex, Massachusetts

Senior Scientist Computational Biology (Multi-Omics / Transcriptomics) 3.3 3.3 out of 5 stars Cambridge, MA 02141 On-Board Scientific is hiring a Senior Scientist – Computational Biology (Multi-Omics / Transcriptomics) in Cambridge, MA For immediate consideration please send your resume to resumes@onboardusa.com

Subject Line:

Position Title and State you are located

About Us:

On-Board Services, Incorporated is an on-site contract service provider for a local manufacturing entity providing full time positions to our employees. We offer benefits as well as 401k.

Position Details:

Title:

Senior Scientist – Computational Biology (Multi-Omics / Transcriptomics)

Position Type:

1 year contract with additional opportunity contingent upon performance and continued business need

Job Location :

Cambridge, MA Shift:

1 st shift

Benefits:

401K, Dental insurance,

Life Insurance, Medical Insurance, Vision Insurance Compensation:

$81.75/HR Summary The Precision Genetics group within the Data and Genome Sciences department is seeking a highly skilled Computational Biologist to join our Computational Precision Immunology team. This role requires deep expertise in multi-modal and multi-scale data analysis, especially in transcriptomics, spatial biology, and proteomics, to support cutting-edge immunological research.

Key Responsibilities Data Acquisition :

Query and collect multi-omics datasets from public repositories (e.g., PubMed, GEO, ArrayExpress, gnomAD, GTEx, Ensembl).

RNA-Seq Analysis :

Conduct QC and analysis of bulk and single-cell RNA-Seq data using tools such as FastQC, STAR, DESeq2, Limma, Seurat, scanpy, clusterProfiler, and LeafCutter.

Multi-Omics Analysis :

Analyze spatial transcriptomics data (e.g., Slide-seq, MERFISH, squidpy) and proteomics data (e.g., OLINK, mass spectrometry).

Data Integration :

Combine multiple molecular data types including gene/protein expression, splicing, spatial transcriptomics, and genotypes to generate biologically meaningful insights.

Documentation :

Maintain clear and detailed documentation of workflows, methods, and results to ensure reproducibility and transparency. Required Qualifications Ph.D. in Computational Biology or a related field. Minimum 2-4years of relevant experience post-Ph.D. (strongly preferred). Demonstrated expertise (3+ years) in multi-omics data analysis and integration, including bulk and single-cell RNA-Seq. Solid understanding of statistical methods and computational biology principles. Proficiency in R, Python, and Bash , with a strong emphasis on reproducible research practices. Experience working with high-performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3). Strong written and verbal communication skills. Self-motivated, collaborative, and capable of managing multiple priorities in a fast-paced environment. Preferred Qualifications Experience working with real-world datasets . Familiarity with spatial transcriptomics and associated computational tools. Background in statistical and population genetics is a plus. Prior publications in peer-reviewed journals (please include on the resume). www.onboardusa.com Apply Today! On-Board was founded in 1976 by Robert L. Wilson to provide Engineering and Design services to the chemical manufacturing industry. Today, On-Board is a thriving privately held family of companies with services including: Consulting, Professional Engineering, Industrial Maintenance and Facility Management, Contracted Manufacturing and Production Services, as well as Temporary Staffing and Recruiting throughout North America. The On-Board Family of Companies conducts operations through its Corporate Headquarters located in East Windsor, NJ along with Regional Offices in New Castle, DE and Wake Forest, NC. On-Board’s Mission is to provide “Flexible Service by applying the talents of our people, work processes and technology to meet our clients’ expectations in a Safe, Responsible and Dependable manner.” On-Board Companies provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, sex, national origin, age, disability or genetics. JD# 24-03692

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