Cognizant Technology Solutions is seeking for Techno Functional SME with core background in Bioinformatics, Transcriptomics and GCP Cloud who could join in our team of IT professionals in a permanent role.

Role: Bioinformatics Engineer - Single-cell & Bulk Transcriptomics

Skill set: Bioinformatics, scRNA-seq, Bulk RNA-seq, GCP, Pipeline Engineering

Must have skill:

- Experience processing scRNA-seq and bulk RNA-seq datasets (10x Genomics, SMART-seq)
- Workflows: Cell Ranger, STARsolo, Kallisto Bustools, Alevin/Alevin Fry, Seurat/Scanpy
- Bulk RNA-seq tools: STAR, HISAT2, Salmon, Kallisto, FastQC, Picard, DESeq2, edgeR, limma
- Pipeline capabilities: FASTQ/BCL ingestion, QC, trimming, alignment/pseudo-alignment
- Gene/transcript quantification, normalization, batch correction and feature selection
- Experience in clustering, dimensionality reduction, DE analysis and trajectory inference
- Pathway enrichment, gene signature identification and biological interpretation
- Integration with metadata (cell types, clusters, experimental conditions)
- Experience integrating immune repertoire pipelines (CDR extraction, clonotype metrics)
- Python/R expertise and workflow engines (Nextflow,



Snakemake, Cromwell)
- Containerization (Docker/Singularity) and GCP services (BigQuery, GCS, Compute Engine, Composer, Pub/Sub)
- CI/CD implementation for pipeline automation

Good to have:

- Experience with transcriptomics repositories (GEO, ArrayExpress, Human Cell Atlas)
- Infrastructure as Code (Terraform)
- Experience in enterprise-scale bioinformatics platforms

Responsibilities:

- Design and implement pipelines for transcriptomics data processing and integration
- Perform clustering, trajectory, differential expression and pathway analysis
- Generate standardized outputs compatible with Seurat, Scanpy, DESeq2, edgeR
- Integrate transcriptomics with immune repertoire datasets
- Develop scalable, modular pipelines with audit loggingDeploy pipelines in GCP using containerized workflows
- Implement CI/CD for reproducible pipeline execution
- Validate dataset integrity and biological correctness
- Harmonize metadata and map to enterprise models
- Create documentation and support demos/workshops

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📌 Bioinformatics Engineer - Single-cell & Bulk Transcriptomics (Buenos Aires)
🏢 Cognizant
📍 Buenos Aires