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Bioinformatics Scientist - II (Associate)

ManpowerGroup • Cambridge, MA • 1w ago

Job Title: Bioinformatics Scientist II

Duration: 23 Month Contract

Location: Onsite - 320 Bent St 4th Floor, Cambridge, MA 02141

Pay Range: $70/hr- $77.53/hr

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).

Qualifications:

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, geno@type, 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.

Responsibilities:

Our client's Precision Genetics group within the Data and Genome Sciences Department is seeking a skilled Contractor to join their Computational Precision Immunology team.

They are looking for a data scientist with extensive experience in multi-modal and multi-scale data analyses to contribute to their 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 geno@type data.

Documentation: Prepare detailed documentation of analysis methods and results in a timely manner.

ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.

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