Director / Senior Director, In Silico Data Operations

About Violet Research Institute Violet Research Institute (VRI) is building the future of personalized medicine for patients with genetic diseases. We're at the frontier of a new era in medicine — one where treatments can be designed for individual patients based on their unique biology. Recent breakthroughs in science, engineering, and regulatory pathways have made this possible, but much of this work remains nascent and distributed across disparate efforts globally. We're unifying, refining, and scaling these efforts into a cohesive platform. For each patient we serve, we deeply understand their biology, then design and manufacture a targeted treatment that can be delivered in months instead of years. We combine the urgency and execution mindset of a startup with the mission-driven openness of a nonprofit, allowing us to collaborate broadly and move quickly on behalf of the patients we serve. We've brought together leading researchers, engineers, and organizations across omics, therapeutic design, manufacturing, clinical care, and AI to move from insight to action as quickly as possible. VRI is founded by the family of our first patient, Violet, and is led by Michael Buckley, Siranush Babakhanova and Steve Turner. Our team is deeply cross-disciplinary and first-principles driven. We value builders, experts, and generalists who are excited to work across domains, challenge conventional approaches, and increase access to personalized medicine. What We're Looking For Our data infrastructure is growing faster than our ability to govern it. We need someone who thinks in systems, speaks the language of computational biology, and can build the standards, tooling, and team structure that lets our science scale without breaking. This role owns our in silico and data operations: how assay data flows from raw output to structured insight, how our bioinformatics team is organized and directed, and how we evaluate, implement, and scale platforms like Benchling. You are native in AI, not just tool-adjacent, but someone who reaches for it instinctively as part of how you build and think. This role is fully remote and open to candidates anywhere in the United States. You will report to an East Coast–based leader and work closely with our existing bioinformatics team. Over time, as trust is established, this role will take on direct management of data scientists on the team. What You'll Own LIMS ownership: our current LIMS implementation is struggling, and you will own the path forward — either fixing it or evaluating and leading a replacement (Benchling, Dotmatics, or comparable). This role requires a full-ownership mentality, not a recommendation-from-the-sidelines posture Data infrastructure and standards: repeatable formats for raw assay data, ASO design files, in vitro and in vivo readouts, and CRO deliverables; you direct the bioinformatics team to execute against those standards Decision and program tracking systems: a single source of truth for what is being done, by whom, by when, and what comes next — from a data and decision infrastructure perspective AI-native workflows: build and maintain AI-assisted pipelines for data analysis, literature synthesis, and scientific decision support Bioinformatics team direction: work closely with bioinformaticians (and over time manage data scientists) to ensure computational outputs meet scientific and operational standards CRO data quality: own the incoming data QC process for computational and omics deliverables; escalate and remediate when vendor outputs fail standards Close partnership with the Wet Lab Scientific Operations Director to keep experimental and computational programs in sync, including shared raw-data standards adopted across CROs and internal workflows Goals for the First 90 Days Audit the current data infrastructure across SYT1 ASO 1, ASO 2 screen, the cocktail program, and siRNA exploratory work; produce a clear, written assessment of gaps and recommendations Define the raw-data standard for assay outputs (knockdown, off-target, tox, PK readouts) and have it adopted across at least two CROs and internal workflows Deliver a written recommendation on the LIMS — fix in place or replace with Benchling (or comparable) — with implementation plan and timeline Stand up a program tracker and decision log that the founder, lead scientist, and senior advisors actually use Establish a working relationship with the bioinformatics team and identify any gaps in tooling, documentation, or workflow standards Minimum Qualifications PhD in computational biology, bioinformatics, biostatistics, computer science, or a closely related field 7+ years in computational biology, bioinformatics, or data science within a drug discovery or biotech context Hands-on experience building and owning data infrastructure in a small, resource-constrained organization — not just contributing to it Comfort with nucleic acid sequence design and navigating sequence design space (ASO, siRNA, or related modalities) Fluency with cloud data platforms (GCP, AWS) and bioinformatics workflow tools Native AI user — you build with AI, not around it; tools like Claude, Copilot, or equivalent are a daily part of how you work Experience evaluating or deploying scientific data management platforms (Benchling, Dotmatics, or comparable) Track record of building operational systems and standards from scratch Comfort directing senior PhD scientists without being one — credibility comes from clarity and precision, not titles Preferred Qualifications Prior experience integrating wet lab and dry lab experiments into a coherent pipeline — from assay design through data structure to interpretation Experience with oligonucleotide, siRNA, or gene therapy program data — familiarity with the data types and QC challenges specific to nucleic acid therapeutics Prior management or formal mentorship of data scientists or bioinformaticians Familiarity with regulatory data requirements in a preclinical-to-IND context Experience inside a small biotech, founder-led nonprofit, or intensely mission-driven organization Working knowledge of bDNA / QuantiGene, ddPCR, or qPCR data artifacts in nucleic acid quantification Behavioral Essentials Execute independently from loosely specified tasks Ask for help only when truly blocked, communicating clearly what's needed Thrive in early-stage, ambiguous, high-pace environments Mission-driven with genuine care for patient impact