Bioinformatics Scientist - III (Senior)

Bioinformatics Scientist III

**Duration:** 23 Month Contract

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

**Pay Range: $80/hr- $100.56/hr**

**Need to have:**

+ **Looking at external data sets and bring the data sets together and cleaning the data up**

+ **Need to have the fundamental understanding of the data sets**

+ **Drawing conclusion of the data sets**

+ **Data integration**

+ **Be able to document their work and be able to show how they did their work**

Qualifications:

**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

**Responsibilities:**

+ The 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 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.

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