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
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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