Bioinformatics Scientist - III (Senior) Bioinformatics Scientist - III (Senior)

TALENT Software Services; Cambridge (MA); On-site; USD 100,000 - 150,000; Full time

Job summary

A leading company in the biotechnology sector is seeking a skilled data scientist to join their Computational Precision Immunology team. The role involves multi-omics data analysis and integration, requiring a Ph.D. and significant experience in the field. Candidates must be proficient in R, Python, and Bash, with a strong understanding of statistical methods. This is an onsite position in Cambridge, MA, ideal for a collaborative and self-motivated individual.

Qualifications

• Over 5 years of experience in multi-omics analysis.
• Strong understanding of statistical methods for data integration.
• Excellent written and verbal communication skills.

Responsibilities

• Query external databases for multi-omics datasets.
• Perform quality control and analysis of RNA-seq data.
• Integrate diverse molecular data types.

Skills

Multi-omics data analysis

R

Python

Bash

High-performance computing

AWS Cloud Computing

Education

Ph.D. in Computational Biology or related field

Job description

1 day ago Be among the first 25 applicants

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.
  
  

Quals--

Required Qualifications:

• Ph.D. in Computational Biology or a related field.
• A proven track record of over 5 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.
  
  

Key Skills:

• Required expertise with multi-omics data analysis and integration (e.g., RNA-Seq, single-cell RNA-Seq.
• Transcriptomics analysis.
• Proficiency in R and Bash.
• High-performance computing (HPC) systems and AWS Cloud Computing (e.g., IAM, S3 buckets).

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  IT Services and IT Consulting

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