Open to opportunities

Parth Doshi

@parthdoshi

Bioinformatics Consultant | RNA-seq, scRNA-seq & Multi-omics Analysis | Publication-ready insights for research labs & biotech

India

Message

What I'm looking for

I seek roles applying bioinformatics and multi-omics integration in translational research, with collaborative, multidisciplinary teams and opportunities to build scalable, reproducible pipelines and advance precision medicine.

I am a bioinformatics consultant with hands-on experience working across genomics, transcriptomics, epigenomics, and metagenomics, supporting both research and applied data analysis projects.

I have worked on integrated multi-omics studies combining ChIP-seq, RNA-seq, and DNA methylation data to investigate transcriptional regulation and epigenetic remodeling. In one major research project, I worked on the analysis of the oxygen-sensing transcription factor RAP2.12, where I contributed to multi-omics data processing, cross-omics integration, and downstream interpretation to identify direct gene targets linked to shoot architecture and flowering time. My work supported the identification of coordinated transcriptional and epigenetic changes, including non-canonical DNA methylation patterns associated with developmental and transgenerational phenotypes.

I have also worked on genotyping quality control, where I was responsible for evaluating technical reproducibility across replicate samples generated from identical DNA sources. This included genotype encoding, GC Score–based filtering, Pearson correlation analysis, call-status assessment, and justification of QC thresholds to ensure reliable and reproducible genotype datasets suitable for downstream analysis.

In addition, I have supported laboratory teams with metagenomic data analysis, including taxonomic exploration of 16S rRNA sequencing data. In these projects, I worked on quality control, taxonomic assignment, comparative abundance analysis, and visualization to help experimental teams interpret microbial community composition and derive actionable biological insights.

Across these projects, I have directly contributed to transforming raw experimental data into clear, reproducible, and biologically interpretable results, supporting manuscript preparation, reporting, and data-driven decision-making.

If you are working with sequencing or complex biological data and need structured analysis with transparent reasoning behind each step, I am happy to connect

Experience

Work history, roles, and key accomplishments

Current

Statistical Genetics Consultant

Current

Freelance

Nov 2023 - Present (2 years 4 months)

Provided statistical genetics and bioinformatics analyses including 16S rRNA antimicrobial profiling, SNP panel development with PRS scoring, and integration of GWAS, SNP, and clinical datasets to increase analysis reliability by 30%.

16S RRNA Analysis PRS Scoring GWAS Integration Python R SnakeMake Docker GCP AWS

Bioinformatics Technical Supporter

Dr Geetanjali's HealthCare Centre

Dec 2023 - Oct 2024 (10 months)

Processed large-scale metagenomic datasets and produced interpretable reports while automating and optimising HPC pipelines to reduce analysis time and support cross-team data interpretation.

Metagenomics Python R HPC SnakeMake Docker

Scientific Officer

Metropolis Healthcare

Mar 2021 - May 2022 (1 year 2 months)

Executed high-volume COVID PCR testing (over 1,000 tests/day) with 98% diagnostic accuracy, optimised extraction workflows to raise throughput 20%, and supervised an 8–10 person team improving processes by 25%.

Laboratory management Data Analysis BASH Git MySQL Team Supervision

Research Intern

Ion Cure Tech Pvt Ltd

Jun 2019 - Sep 2019 (3 months)

Performed docking studies and binding-affinity assessments, identifying three potential drug candidates and contributing to analyses that improved antibiotic efficacy insights by ~20%.

Molecular Docking Bacterial Transporter Analysis Python