Turn Cancer Research Data Into Clinical-Grade Insights

Custom bioinformatics pipelines and analysis for immunotherapy, spatial biology, and neoantigen discovery—faster and more reliable than building in-house.

Built for Cancer Research Teams

🧬

Neoantigen Vaccine Companies

Scaling WGS/WES → HLA typing → peptide prediction → MS validation for clinical trials.

🔬

Spatial Biology Platforms

Multi-omics integration, cross-platform analysis, and ML-based biomarker discovery.

💊

Clinical-Stage Biotech

Regulatory-grade analysis, trial data platforms, and computational biology strategy.

🏢

CROs & Service Labs

White-label analysis platforms and automated reporting for immunopeptidomics services.

Three Ways to Work Together

From one-time pipeline builds to strategic computational biology partnerships.

Pipeline Build

We Build It, You Run It

$5K–$25K/project

Custom bioinformatics pipelines tailored to your data, instruments, and research questions. Fully documented and deployed on your infrastructure.

  • Custom pipeline design and implementation
  • Reproducible workflows (Nextflow/Snakemake)
  • Deployed on your cloud or on-prem infrastructure
  • Handoff training (2–4 hours)
  • 30-day bug-fix support
Example Projects:
  • WGS → neoantigen prediction pipeline
  • Spatial transcriptomics analysis (Visium/Xenium)
  • HLA typing + peptide-MHC binding prediction

Ideal for: Labs that can maintain pipelines themselves, grant-funded projects, teams testing bioinformatics outsourcing.

Strategic Partner

We Own Your Computational Biology Strategy

$20K–$50K/month

Full computational biology department: strategy, team augmentation, clinical-grade validation, regulatory support, executive reporting.

  • Everything in Embedded Analyst, plus:
  • Computational biology strategy (tech selection, infrastructure)
  • Dedicated senior consultant (40+ hrs/week)
  • Team augmentation: 2–5 analysts as needed
  • Clinical-grade GxP-compliant pipelines
  • Regulatory support for FDA/EMA submissions
  • IP development (novel algorithms, proprietary models)
  • Quarterly executive roadmap reviews
  • 24/7 support for clinical trial milestones
Example Engagements:
  • Phase 3 neoantigen vaccine trial (50 → 5,000 patients)
  • Build computational biology dept from scratch
  • FDA submission-ready spatial biology analysis
  • Proprietary neoantigen prediction model development

Ideal for: Clinical-stage programs where computational biology is a competitive advantage, not just support (~60% cheaper than 3–5 person internal team).

Areas of Expertise

🧬 Neoantigen Discovery

  • WGS/WES → HLA typing → neoantigen prediction
  • Mass spec immunopeptidomics analysis
  • Immunogenicity scoring and validation
  • Patient stratification for personalized vaccines

🔬 Spatial Biology

  • Spatial transcriptomics (Visium, Xenium, MERSCOPE, CosMx)
  • Spatial proteomics (PhenoCycler, GeoMx, COMET, MIBI)
  • Cross-platform data integration
  • ML-based spatial biomarker discovery

💊 Clinical Trials

  • Biomarker discovery and validation
  • Patient response prediction models
  • Regulatory documentation for submissions
  • Real-world evidence platforms

🤖 AI/ML for Drug Discovery

  • Predictive modeling for drug response
  • Deep learning for image analysis
  • Foundation model fine-tuning
  • Target discovery from multi-omics data

Built on Real Experience

Background

  • Healthcare & Life Sciences: Architected acquisition integrations at Health Catalyst, supported clinical trial optimization, worked directly with healthcare tech executives.
  • Engineering Leadership: Led multi-team product development at Greenshades Software through high-growth periods, managed large client integrations, coordinated performance work for complex systems.
  • Problem-Solving: "I relentlessly seek out the most painful problems, strategize, and solve them. I don't quit." — The person called in when no one else knows where to start.

How I Work

  • Clarity first: Set expectations clearly before starting complex projects—scope, timeline, achievable outcomes.
  • High follow-through: Rarely miss goals I commit to. Hard deadlines communicated clearly with frequent confidence updates.
  • Bridge builder: Translate complex technical concepts to human impact. Connect technologies, teams, and organizations.
  • Transparent: Regular updates in ambiguous situations to enable meaningful pivots. All stakeholders stay aligned.
"Rare technical mind that naturally fills business analyst AND product management roles. High technical acumen, ability to dissect complex problems, servant leadership style, inspiring." — Colleague testimonial

How We Get Started

1

Discovery Call

15–30 minute conversation to understand your data, challenges, and goals. No sales pitch—just clarity on whether we're a good fit.

2

Scope & Proposal

Detailed project scope or engagement plan with clear deliverables, timeline, and pricing. You know exactly what you're getting.

3

Kickoff & Alignment

Meet your team, review data infrastructure, set communication cadence. Clarity and stakeholder alignment from day one.

4

Execution & Delivery

Regular progress updates, transparent communication, and iterative delivery. You stay in the loop at every milestone.

Frequently Asked Questions

How fast can you start?

Typically within 1–2 weeks. Discovery call → scope → kickoff. No 3–6 month hiring cycle.

Do you work with academic labs?

Yes. 15–25% discount for non-profits and academic institutions. Grant-compatible pricing for Tier 1 projects.

What if we need to scale up or down?

Tier 2 and 3 engagements are flexible. Scale analyst hours up during data surges, scale down after major milestones. No hiring/firing overhead.

Can you work with our existing CRO?

Absolutely. We partner with CROs for sample prep and MS runs, then handle the computational analysis they can't. We complement, not compete.

What about IP and data ownership?

All work product and pipelines are yours. IP ownership is negotiable for Tier 3 strategic partnerships involving novel algorithm development.

How is this different from hiring in-house?

Faster to start (days vs. months), 30–60% cheaper (no benefits/overhead), flexible scale, and broader expertise (neoantigen + spatial + clinical). Cancel anytime after minimum commitment.

What tech stack do you use?

Cloud-native, reproducible by default: Nextflow/Snakemake for pipelines, Python/R for analysis, Docker/Singularity for containerization. We meet you where your infrastructure is.

Do you provide regulatory support?

Yes, for Tier 3 engagements. GxP-compliant pipelines, audit-trail-enabled workflows, and analysis documentation ready for FDA/EMA submissions.

Ready to Turn Data Into Insights?

Start with a 15-minute conversation. No commitment, no sales pitch—just clarity on whether we can help.

Get in Touch

Email: deviouscham@gmail.com
LinkedIn: linkedin.com/in/npickering