Is the Director / Senior Director, In Silico Data Operations position at Violet Research Institute fully remote?

Yes, this Director / Senior Director, In Silico Data Operations position at Violet Research Institute is a remote position. The role is available for candidates in United States.

Is this a full-time or part-time Director / Senior Director, In Silico Data Operations role?

This is a full-time Director / Senior Director, In Silico Data Operations position at Violet Research Institute.

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You can apply for this Director / Senior Director, In Silico Data Operations position by clicking the "Apply Now" button on this page, which will take you to Violet Research Institute's application portal.

Director / Senior Director, In Silico Data Operations at Violet Research Institute

United States

<div class="content-intro"><h3 class="font-sans text-[10px] tracking-[0.3em] uppercase text-muted-foreground/50 mb-4">About Violet Research Institute</h3> <p>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.</p> <p>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.</p> <p>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.</p></div><div> <h3 class="font-sans text-[10px] tracking-[0.3em] uppercase text-muted-foreground/50 mb-4">What We're Looking For</h3> <p class="font-sans text-sm text-foreground/55 leading-relaxed whitespace-pre-line">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.</p> </div> <div> <h3 class="font-sans text-[10px] tracking-[0.3em] uppercase text-muted-foreground/50 mb-4">What You'll Own</h3> <ul class="space-y-3"> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">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</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">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</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">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</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">AI-native workflows: build and maintain AI-assisted pipelines for data analysis, literature synthesis, and scientific decision support</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Bioinformatics team direction: work closely with bioinformaticians (and over time manage data scientists) to ensure computational outputs meet scientific and operational standards</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">CRO data quality: own the incoming data QC process for computational and omics deliverables; escalate and remediate when vendor outputs fail standards</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">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</li> </ul> </div> <div> <h3 class="font-sans text-[10px] tracking-[0.3em] uppercase text-muted-foreground/50 mb-4">Goals for the First 90 Days</h3> <ul class="space-y-3"> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">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</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">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</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Deliver a written recommendation on the LIMS — fix in place or replace with Benchling (or comparable) — with implementation plan and timeline</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Stand up a program tracker and decision log that the founder, lead scientist, and senior advisors actually use</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Establish a working relationship with the bioinformatics team and identify any gaps in tooling, documentation, or workflow standards</li> </ul> </div> <div> <h3 class="font-sans text-[10px] tracking-[0.3em] uppercase text-muted-foreground/50 mb-4">Minimum Qualifications</h3> <ul class="space-y-2.5"> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">PhD in computational biology, bioinformatics, biostatistics, computer science, or a closely related field</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">7+ years in computational biology, bioinformatics, or data science within a drug discovery or biotech context</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Hands-on experience building and owning data infrastructure in a small, resource-constrained organization — not just contributing to it</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Comfort with nucleic acid sequence design and navigating sequence design space (ASO, siRNA, or related modalities)</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Fluency with cloud data platforms (GCP, AWS) and bioinformatics workflow tools</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Native AI user — you build with AI, not around it; tools like Claude, Copilot, or equivalent are a daily part of how you work</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Experience evaluating or deploying scientific data management platforms (Benchling, Dotmatics, or comparable)</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Track record of building operational systems and standards from scratch</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Comfort directing senior PhD scientists without being one — credibility comes from clarity and precision, not titles</li> </ul> </div> <div> <h3 class="font-sans text-[10px] tracking-[0.3em] uppercase text-muted-foreground/50 mb-4">Preferred Qualifications</h3> <ul class="space-y-2.5"> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Prior experience integrating wet lab and dry lab experiments into a coherent pipeline — from assay design through data structure to interpretation</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Experience with oligonucleotide, siRNA, or gene therapy program data — familiarity with the data types and QC challenges specific to nucleic acid therapeutics</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Prior management or formal mentorship of data scientists or bioinformaticians</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Familiarity with regulatory data requirements in a preclinical-to-IND context</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Experience inside a small biotech, founder-led nonprofit, or intensely mission-driven organization</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Working knowledge of bDNA / QuantiGene, ddPCR, or qPCR data artifacts in nucleic acid quantification</li> </ul> </div> <div> <h3 class="font-sans text-[10px] tracking-[0.3em] uppercase text-muted-foreground/50 mb-4">Behavioral Essentials</h3> <ul class="space-y-2.5"> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Execute independently from loosely specified tasks</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Ask for help only when truly blocked, communicating clearly what's needed</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Thrive in early-stage, ambiguous, high-pace environments</li> <li class="flex gap-3 font-sans text-sm text-foreground/55 leading-relaxed">Mission-driven with genuine care for patient impact</li> </ul> </div>

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Remote Opportunity

Director / Senior Director, In Silico Data Operations

Join Violet Research Institute as a senior professional working remotely from United States. Explore the role, benefits, and apply in one place.

Director / Senior Director, In Silico Data Operations

Violet Research Institute

Full Time

3 weeks ago

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.

United States

Data

Senior

Computational biology

Bioinformatics

Data Infrastructure

+5 more

Job Description

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

Skills

Computational biology

Bioinformatics

Data Infrastructure

LIMS

AI-Native Workflows

Benchling

Dotmatics

Nucleic acid sequence design

Ready to Apply?

Join Violet Research Institute today

Posted 3 weeks ago

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