[Remote] RCI-ABBV-32408 Bioinformatics Scientist (Immunology/scRNASeq/Bulk RNASeq/Omics/Spatial Transcriptomics/Python/Linux/Snakemake/Nextflow)
Note: The job is a remote job and is open to candidates in USA. Rangam is seeking a talented Bioinformatics Scientist to join their BIGGS team, which focuses on computational research and data-driven insights for immunology discovery. The role involves performing data integration and analysis of bulk transcriptomics, single-cell omics, and spatial transcriptomics datasets related to liver biology and metabolic-associated liver disease.
Responsibilities
- Systematically QC, annotate, and integrate public omics and single-cell datasets
- Perform downstream analyses on the integrated datasets; employ cutting-edge tools and analytical approaches to advance the understanding of liver disease biology
- Contribute easily maintainable, robust, and flexible code for analysis pipelines
- Interpret and communicate results to the wider scientific team
Skills
- PhD with 8 yrs exp will be considered
- PhD with post doc or industry exp will be considered as well or Masters with 5 yrs exp will be considered
- Industry exp will be given first preference
- Candidate with in-depth expertise and skill match will be considered
- Exp with spatial transcriptomics
- PhD will be first preference
- Masters will be second preference
- Snakemake or galaxy is acceptable
- This is more of a analysis role rather than engineering role
- Python and/or R; working in Linux environments exp needed
- Need support to Help integrate some of the published data sets on bulk transcriptomics, single transcriptomics potentially spatial and top create a particular master data set for disease of interest and then to probe biology
- Team is a part if immunology bioinformatics
- Perform computational analysis on all types of data (omics, bulk RNASeq, Proteomics, Single-cell RNASeq, spatial transcriptomics) to analyze external data sets to support discovery immunology precision medicine and clinical development
- Single-cell RNASeq, bulk RNASeq, is a must have
- Knowledge of statistics
- All the analysis is on hands on and code based in R or python (coding skills will be analytical part)
- Candidate will be Optimize and onboard new algorithms (Troubleshooting & testing)
- Genomic and multi-omic data analysis, including advanced analyses of single-cell RNASeq, bulk RNASeq, and preferably spatial transcriptomics. Familiarity with statistical approaches in omics
- Fluency in Python and/or R; working in Linux environments; familiarity with workflow management (Nextflow), version control
- Excellent organizational, communication, collaboration, and interpersonal skills
- Educational background: Masters with 3-5, PhD 0-3 years of experience
- Experience in immunology or fibrotic diseases especially MASH is a plus
- Familiarity with the best practices and cutting-edge tools in single-cell analysis is preferable
Company Overview
- Rangam is a global, innovative, Total Talent management firm with the mission of accelerating meaningful employment for everyone! We are a minority-, woman-, and disability-owned firm with over 25 years of experience promoting sustainable and inclusive talent programs within our communities and employers. It was founded in 1995, and is headquartered in Somerset, New Jersey, USA, with a workforce of 501-1000 employees. Its website is https://rangam.com/.
Company H1B Sponsorship
- Rangam has a track record of offering H1B sponsorships, with 10 in 2025, 2 in 2024, 4 in 2023, 5 in 2022, 4 in 2021, 9 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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