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