Anand Maurya

Research Associate

Carl von Ossietzky University of Oldenburg · Oldenburg, Germany

• Lead bioinformatics operations at the Core Facility Genomics and Bioinformatics, supporting multi-omics research across WGS, WES, RNA-seq, single-cell, Illumina, and Oxford Nanopore datasets.
• Build and maintain in-house Nextflow workflows for short-read (Illumina) and long-read (Oxford Nanopore) such as allele-specific expression, ONT methylation profiling.
• Support research groups with bioinformatics input on study design, data QC, and downstream analysis planning.
• Perform germline variant calling using DRAGEN and DeepVariant, and analyze bulk and single-cell RNA-seq datasets.
• Manage sequencing data storage and access control across projects on HPC infrastructure.
• Maintain project-level documentation, including code documentation and methodology.

Bioinformatician

Klinikum Oldenburg · Oldenburg, Germany · Part-time

• Collaborate with clinical researchers on the analysis of genomic and other clinical research datasets, and support reproducible germline variant-analysis workflows within the hospital computing environment.
• Deploy and maintain the in-house clinical genomics platform, enabling clinicians to perform variant analysis and prioritisation.
• Ensure compliance with data-protection (GDPR), access-control, and documentation requirements across the hospital's clinical governance framework and the university's research environment.

Bioinformatician

University of Oxford · Oxford, United Kingdom

• Designed and implemented workflows for the research group's Terra.bio platform, a cloud-based trusted research environment (TRE) on Google Cloud, including a WDL-based workflow for variant calling and annotation using PacBio long-read sequencing data, and a machine learning workflow for proteomic data.
• Led the processing and analysis of diverse 'omics datasets for research projects at the Oxford-GSK Institute for Molecular and Computational Medicine (IMCM).
• Provided bioinformatics support to IMCM research teams, devising new analysis strategies and working closely with the bioinformatics core group.
• Maintained extensive documentation of all analyses and code within the IMCM data platform.

Research Scholar

Adam Mickiewicz University · Poznan, Poland

• Developed a bioinformatics pipeline for automated exploration of NCBI SRA datasets, enabling efficient sequence-based searches and analysis of large-scale NGS data.
• Analyzed publicly available RNA-seq data to understand gene expression patterns of snoRNAs, tRNAs, and tRNA-like genes.
• Performed comparative genomic analyses of draft and complete genomes to identify and characterize novel tRNA-Cys gene clusters in Arabidopsis thaliana.
• Developed a snoRNA expression atlas web application, including gene annotations, expression levels, and predicted target genes.
• Developed a tRNA expression database providing insights into tRNA and tRNA-like gene expression, transcript-level coverage, and structural details.

Bioinformatics Analyst

Medgenome Labs Ltd. · Banglore, India

• Delivered clinical WES, WGS, RNA-seq, and neo-epitope prediction projects to clinicians and clients as part of a clinical research team operating within a CAP-accredited, NABL-certified diagnostic environment.
• Developed an in-house variant annotation database to support the interpretation and reporting of clinically relevant genomic variants.
• Automated the in-house neoepitope prioritisation pipeline for somatic variants, integrating somatic variant calling, HLA typing, and ML-based immunogenicity scoring from tumor-normal DNA-seq and RNA-seq data.
• Built a web application on top of the pipeline for automated neoepitope prioritisation, generating reports with ranked peptide candidates and their corresponding HLA allele predictions.
• Built an internal QC dashboard for real-time monitoring of NGS pipeline runs across WES, WGS, and RNA-seq projects on on-premise servers.

Bioinformatics Trainee

Genotypic Technology Pvt. Ltd. · Banglore, India

• Enhanced the in-house variant annotation pipeline by adding newer annotation sources.
• Analyzed clinical whole-exome sequencing (WES) data to aid clinicians in diagnosing genetic diseases.
• Conducted benchmarking of variant calling tools, including Illumina's BaseSpace and Agilent SureCall.

Master of Technology (M.Tech) in Bioinformatics

Sam Higginbottom Institute of Agriculture, Technology & Sciences · Prayagraj, India

Bachelor of Technology (B.Tech) in Bioinformatics

Bharath University · Chennai, India