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