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 logging
• Deploy 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