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Job Requirements of Bioinformatics Scientist - II:
-
Employment Type:
Contractor
-
Location:
Cambridge, MA (Onsite)
Do you meet the requirements for this job?
Bioinformatics Scientist - II
Careers Integrated Resources Inc
Cambridge, MA (Onsite)
Contractor
Job Title: Bioinformatics Scientist - II
Job Location: Cambridge, MA
Job Duration: 23-24 Months( possibility of extension)
Payrange: $75 - $77/ hr on w2
Job Summary:
Data Ingestion:
Job Location: Cambridge, MA
Job Duration: 23-24 Months( possibility of extension)
Payrange: $75 - $77/ hr on w2
Job Summary:
- 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.
Data Ingestion:
- Query external databases to acquire relevant multi-omics datasets (e.g., PubMed, Gene Expression Omnibus, ArrayExpress, gnomAD, GTEx, Ensembl).
- 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).
- Analyze diverse molecular data types including spatial transcriptomics (e.g., Slide-seq, MERFISH, squidpy) and proteomics (e.g., OLINK, mass spectrometry-based approaches).
- Integrate multi-omics datasets, including gene/protein expression, mRNA splicing, spatial transcriptomics, and genotype data.
- Prepare detailed documentation of analysis methods and results in a timely manner.
- 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.
- Experience in processing and analyzing real-world data.
- Familiarity with spatial transcriptomics analysis.
- Knowledge of statistical and population genetics principles.
- Onsite role at Cambridge, MA.
- Do not submit candidates who are looking for remote.
- Do not submit candidates with just BS/MS.
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