Role Overview

Dinamo is a precision immunology company at the intersection of DNA methylation and AI. We identify patient subpopulations most likely to respond to specific therapies, with the goal of improving treatment decisions and clinical outcomes in immunology and autoimmune diseases.

The VP of R&D will own all of Dinamo's science and technology strategy and execution, reporting directly to the CEO. The role spans the biomarker discovery platform, the production clinical diagnostic platform (path to CLIA/CAP launch and ultimately IVD), internal AI/ML and data infrastructure, and clinical study data and analysis. This is a founding-team-level role with full ownership of how Dinamo builds, validates, and scales the science behind its platform.

The role is full-time on-site at our San Carlos office.

Key Responsibilities

Define and lead the scientific and technical strategy across discovery, diagnostics, and computational platforms
Build and lead a unified R&D organization spanning molecular biology, bioinformatics, computational biology, software engineering, and clinical data science
Take Dinamo's methylation-based assays from R&D through analytical and clinical validation, into CLIA/LDT launch, and onto an IVD path
Lead the AI/ML strategy applied to genomic and clinical data, including model development, infrastructure, and data governance
Architect and oversee clinical study design, data management, and biostatistical rigor in partnership with clinical collaborators
Partner with the CEO and VP of BD to translate platform capabilities into external opportunities and structured collaborations
Represent Dinamo's science to KOLs, partners, regulators, and investors

Qualifications

PhD or MD/PhD in computational biology, genomics, bioinformatics, molecular biology, or a closely related field
10+ years post-degree with significant leadership in precision medicine, molecular diagnostics, or genomics
Has personally led a molecular assay from R&D through clinical validation and launch under CLIA/LDT; IVD/FDA experience a plus
Deep hands-on NGS expertise; methylation or epigenomics experience required
Track record leading both wet-lab and computational teams at the bench/code interface
Direct experience applying ML/AI to genomic or clinical data
Clinical study experience: data management, biostatistics, and SAP-level rigor
Has built and scaled technical organizations at the seed-to-Series-B stage
Bay Area-based or willing to relocate

Broader Capabilities

Operates at the altitude of both org-builder and individual contributor; still hands-on when the problem demands it
Comfortable bridging wet and dry, science and engineering, R&D and clinical
High ownership mindset, with the ability to set technical direction and execute against it
Strong external presence with KOLs, regulators, and diagnostic industry talent
Founding-team intensity; thrives at seed/Series-A stage with broad scope and limited scaffolding

What Success Looks Like

Build a unified R&D org that operates as one team across wet, dry, and clinical
Take Dinamo's first methylation assay through clinical validation and CLIA launch
Establish the AI/ML and data infrastructure that powers patient stratification at scale
Define and execute the scientific roadmap that supports Dinamo's commercial strategy

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