02 ago
|
Cognizant
|
Buenos Aires
02 ago
Cognizant
Buenos Aires
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