Rangam · 1 hour ago
RCI-GILD-16710 Associate Scientist – single-cell RNA Bioinformatics III (Oncology) - Santa Monica, CA
Rangam is seeking a highly motivated Associate Scientist in Bioinformatics to support the development of novel cell therapies. This role will focus on the analysis and interpretation of complex datasets to drive decision-making in therapeutic programs.
Responsibilities
Process, analyze, and perform quality control (QC) for a variety of NGS datasets, with a primary focus on single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq from clinical and research samples
Execute, optimize, and troubleshoot bioinformatics pipelines for scRNA-seq, targeted gene panels, whole exome/transcriptome sequencing, and other genomic assays
Perform standard NGS analyses: FASTQ QC, alignment, variant calling, gene expression quantification, differential expression, and cell population clustering/annotation
Utilize Benchling for electronic lab notebook (ELN) functions and sample/data tracking
Work within the Laboratory Information Management System (LIMS) to manage sample metadata, track workflow status, and ensure data integrity
Collaborate closely with bench scientists in sequencing, genomics, and immunology to design experiments, interpret results, and support data-driven decisions for cell therapy development
Maintain reproducible analysis code and workflows using version control (Git) and standard bioinformatics tools in a Linux environment
Prepare clear documentation, QC reports, and presentation-ready analysis summaries for team and stakeholder review
Contribute to SOP development and continuous improvement of computational and data management workflows
Qualification
Required
Bachelor's degree in Microbiology, Immunology, Molecular Biology, or a closely related life science field is required. A Master's degree in Bioinformatics, Computational Biology, or a related field is a strong plus
2+ years of relevant experience (with BS) or 1+ year (with MS) in bioinformatics analysis, specifically with Illumina NGS data
Demonstrated hands-on experience with single-cell RNA-seq data analysis (e.g., using tools like Cell Ranger, Seurat, Scanpy)
Proven experience using Benchling (ELN) and a Laboratory Information Management System (LIMS) in a production or research environment
Proficiency in R and/or Python for statistical analysis, data visualization, and pipeline scripting
Strong command-line skills in a Linux/Unix environment and experience with NGS tools (e.g., FastQC, STAR/BWA, samtools, bcftools, MultiQC)
Solid understanding of sequencing metrics, QC principles, and data integrity
Excellent communication skills with the ability to convey technical results to interdisciplinary teams
Preferred
Knowledge of cancer biology, immunology, or immuno-oncology
Experience with workflow managers (e.g., Nextflow, Snakemake)
Familiarity with immunogenomics analysis (TCR/BCR repertoire)
Exposure to regulated (CLIA/GxP) environments and documentation practices
Experience working in a cloud (AWS, Google Cloud) or high-performance computing (HPC) cluster environment
Company
Rangam
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.
H1B Sponsorship
Rangam has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (10)
2024 (2)
2023 (4)
2022 (5)
2021 (4)
2020 (9)
Funding
Current Stage
Late StageCompany data provided by crunchbase