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founder.record · id=PP001 · status=active

The analyst behind the pipeline

PP
PP001 · ACTIVE
Priyansh Pathak
Founder & Principal Bioinformatician · PhD Bioengineering
github.com/omicsedgebio

Priyansh built OmicsEdge from 7 years of production bioinformatics across academic and commercial settings - spanning rare RNA assays, Oxford Nanopore long-read sequencing, multi-omics integration, and cloud-native pipeline engineering. He has delivered 40+ projects for academic labs, biotech startups, and pharma R&D teams.

His doctoral work focused on translational control mechanisms, giving him deep biological intuition for RNA biology experiments that goes beyond tool execution. He wrote the pipelines - and he understands why the biology is interesting.

PhD Bioengineering Oxford Nanopore TERA-Seq Ribo-Seq m6A-Seq AWS / GCP Snakemake DESeq2 MOFA2 scRNA-Seq PyTorch Terraform
flagstat.report · file=priyansh_pathak.bam · version=samtools-1.19
$ samtools flagstat priyansh_pathak.bam
40+ + 0 in total (QC-passed reads + QC-failed reads)
40+ + 0 primary
0 + 0 secondary
0 + 0 supplementary
0 + 0 duplicates
40+ + 0 primary duplicates
40+ + 0 mapped (100.00% : N/A)
40+ + 0 primary mapped (100.00% : N/A)
experience: 7 years  ·  projects: 40+  ·  assays: 5 rare specializations  ·  Q: ≥40
coverage.depth · sample=priyansh_pathak · ref=skill_domains
RNA biology · TERA-Seq · Ribo-Seq · m6A 95x
Oxford Nanopore · long-read · basecalling 88x
Multi-omics integration · MOFA2 · ATAC · methylation 86x
AWS · GCP · cloud infrastructure · Terraform · HIPAA 82x
scRNA-Seq · Seurat · cell clustering · trajectory 78x
ML · PyTorch · SHAP · XGBoost · SageMaker 74x
roster.open_position · role=domain_collaborator · status=CONSIDERING
Open Seat - Domain Collaborator
STATUS: CONSIDERING · ROLE: project_specific · TYPE: specialist

For specialized domains - structural biology, spatial transcriptomics, proteomics - OmicsEdge occasionally collaborates with vetted domain specialists on a project-specific basis. If you are a PhD-level computational biologist with deep expertise in a specific assay class, reach out.

spatial transcriptomics proteomics / mass-spec structural genomics CRISPR screen analysis
philosophy.index · n_principles=6 · derived_from=production_experience

How we operate

The principles that shape every client engagement - built from years of seeing what works and what breaks down in production bioinformatics.

PRINCIPLE · 01 · ATG
Reproducibility is non-negotiable
Every pipeline is containerized (Docker/Singularity), pinned to exact tool versions, and version-controlled in Git. Results must be re-derivable from raw data by any researcher with the repository.
PRINCIPLE · 02 · GCT
Biology first, tools second
Tool selection follows the biological question. Default parameters are challenged. If the assay is unusual, the pipeline is customized - not forced into a generic template that was built for something else.
PRINCIPLE · 03 · CAG
Honest scoping, no overselling
If a question cannot be answered with statistical power given your sample size, that's stated upfront - before money changes hands. Every scope document includes explicit assumptions and known limitations.
PRINCIPLE · 04 · TAA
Direct communication, always
You talk to the analyst, not an account manager. Slack, email, or scheduled calls - whichever works. Status updates are proactive. Blockers are surfaced immediately, not buried until the deadline.
PRINCIPLE · 05 · TGC
Cloud-native from day one
Pipelines are designed for elastic cloud compute, not local hardware. Spot instances. Auto-scaling. Infrastructure-as-code. The pipeline that runs on your laptop and the one that runs on a 96-core AWS Batch job are the same codebase.
PRINCIPLE · 06 · GCA
Transfer of understanding
Delivery isn't just handing over files. It's a walkthrough call, annotated code, and a written interpretation report - so your team can own the analysis long after the engagement ends. No black-box handoffs.
project.contact · founder=direct · response=48h

Work directly with the founder

Describe your data and biology. Priyansh will respond within 48 hours with a written feasibility assessment.

Start a project → Read the FAQ