Parallel Bio

At Parallel Bio, we are leveraging the human immune system to unlock safer, more effective drugs. We believe immunotherapies are the future of medicine, but their discovery is hindered by outdated models that fail to capture the complexity of the human immune system. Our platform overcomes these challenges by combining best-in-class human immune organoids with massive scale and advanced computational methods, including AI and machine learning. This allows us to generate unprecedented, population-scale insights into human health and disease. We can rapidly discover new drugs that we know will work in patients from the start and understand how they will perform across an entire population—something not possible with today's technology. This knowledge will allow us to engineer therapies that will work for as many people as possible, ensuring a safe and effective cure for everyone. We are a fast-paced, venture-backed company at a pivotal moment of growth. Join us on our journey as we create new tools to push the boundaries of what is possible. The Role This role is a strategic and operational extension of leadership within the Data & Infrastructure team. You can carry full context across the department's workstreams and act as a trusted proxy, making decisions, unblocking teams, and driving execution with minimal oversight. The right candidate has fluency in modern data warehousing platforms (such as Palantir Foundry, Snowflake, Databricks, etc.), genuine curiosity about the science, and enough operational instinct to self-organize around the highest-value work without waiting to be told what to do. This is not a pure individual contributor role. It sits at the intersection of technical execution, project management, and strategic planning, and is designed for someone who can operate across those modes fluidly depending on what the department needs. What You Would Own Data Systems & Platform Infrastructure Drive the buildout of experimental data pipelines, storage architecture, and analytical tooling Define and enforce data standards, schemas, and governance as dataset volume and complexity grow; partner with Automation and Science teams to ensure those standards reflect real experimental workflows, preventing data debt before it starts Build and evolve the ontology (actions, objects, links) that represents our biological workflows in Foundry, and develop bespoke React applications that scientists and customers want to use Develop a working understanding of what data we have, what it is worth, and where the gaps are, then build workflows that unlock that value Champion data-driven discovery across the company, raising quantitative literacy and helping scientists move from raw data to insight with increasing autonomy Identify technical debt and infrastructure gaps; scope and prioritize remediation Science Team Partnership Develop a genuine, working-level understanding of science teams' priorities, experimental roadmaps, and active book of work by being in the room, not relying on secondhand summaries Ensure Data & Infrastructure builds toward what science actually needs, not what looks logical from a systems perspective in isolation Identify where data capture or pipeline gaps are creating friction for researchers and treat those with the same urgency as internal engineering priorities Build enough trust with science leadership to anticipate needs and scope work proactively Automation Team Coordination Stay current on the automation team's roadmap so that data infrastructure remains compatible with the physical platform as it evolves Where the two intersect (instrument integration, data ingestion, metadata standards), manage sequencing and dependencies sensibly without gatekeeping Ensure the data layer keeps pace with expanding automation capabilities so increased experimental volume produces well-structured datasets, not cleanup backlogs Keeping Things Moving Self-organize around the department's highest-value work; seek ou

The Mission Drug discovery has a translation problem: more than 95% of drugs that succeed in animal models fail in humans. We're building the alternative: human-first drug discovery, powered by organoids and AI, running on real human biology from the very first experiment. Our platform is 87% concordant with clinical patient data - a vast improvement over the 3% translational success rate of animals. We’ve demonstrated the ability to model immunotoxicology, immunogen stimulation, and two autoimmune diseases with more on the way. Numerous pharma partners including 3 Fortune 500 companies are already using the platform. We've raised ~$30M from AIX Ventures, Marc Benioff, Jeff Dean, and Y Combinator. With the FDA Modernization Act 3.0 and the FDA's March 2026 validation framework, the regulatory tailwinds only continue to get stronger. The opportunity ahead of the company is generational: build the first scaled engine for generating real human biological data, and use it to fundamentally change how medicines are discovered. The opportunity We're building the engine. You decide where to aim it. Parallel Bio's platform can model essentially any aspect of human immunology: infectious disease, cancer, autoimmunity, allergy, transplantation, and beyond. As we scale toward fully autonomous data factories generating petabytes of human biological data per day, the questions in front of us shift from what can we do to what should we do. Which diseases should be modeled? Which targets do we pursue ourselves and which do we partner out to pharma? How do we tell compelling stories with our data? Those questions are yours to answer. You are the highest scientific authority at Parallel Bio. You'll craft the strategies that dictate where the company's experimental capacity gets pointed, which diseases are pursued, and how we approach drugging them. You are not running a bench team. You are driving the company’s biological strategy , setting direction across every group that depends on real scientific judgment to know what to build next. What you'll own Aim the engine. Own the prioritization of therapeutic areas, indications, and targets. Build the scientific roadmap that shapes what every other team works on. Direct disease modeling with the R&D team. Determine which diseases get modeled, what those models need to look like, how they need to perform, and what readouts prove they are working. Validate the science with the Platform team. As autonomous workcells come online, make sure the data makes biological sense and answers the right questions. Pick the targets with the AI/ML team. Decide which disease targets our foundation models get pointed at, and serve as the scientific lead on benchmarking and validating model output. Partner closely with Business Development. Identify collaboration and partnership opportunities, shape how the platform is positioned commercially, build BD decks and marketing materials, and prioritize the indications and targets with the strongest commercial leverage. Drive in-licensing of drug assets. Ensure strong platform-drug fit with proof points that turn the platform from a data engine into a drug discovery engine. Build the public scientific narrative. Lead the strategy behind patents, publications, white papers, blog posts, conference talks, and every external signal that establishes Parallel Bio as the scientific authority on human-first drug discovery. Decide our internal drug discovery programs. As the platform matures, choose which diseases we pursue ourselves. Why this role is different This is a scientific strategy role, not a bench role. You're not running experiments or managing a lab team. You're deciding where the entire company points its experimental capacity. If you want to be at the bench, this isn't for you. This is also explicitly a pre-IND role. You own the science from discovery through the IND-enabling package. The platform can model almost any aspect of human immunology. That breadth is both

The Mission Drug discovery has a translation problem: more than 95% of drugs that succeed in animal models fail in humans. We're building the alternative: human-first drug discovery, powered by organoids and AI, running on real human biology from the very first experiment. Our platform is 87% concordant with clinical patient data - a vast improvement over the 3% translational success rate of animals. We’ve demonstrated the ability to model immunotoxicology, immunogen stimulation, and two autoimmune diseases with more on the way. Numerous pharma partners including 3 Fortune 500 companies are already using the platform. We've raised ~$30M from AIX Ventures, Marc Benioff, Jeff Dean, and Y Combinator. With the FDA Modernization Act 3.0 and the FDA's March 2026 validation framework, the regulatory tailwinds only continue to get stronger. The opportunity ahead of the company is generational: build the first scaled engine for generating real human biological data, and use it to fundamentally change how medicines are discovered. What you'll do Design, prototype, and build fully autonomous workcells across the entire organoid lifecycle — seeding, culture maintenance, perturbation, harvest, and assay execution. You should have deep, credible experience in designing and deploying similar systems. Own all mechanical engineering, robotics, and computer vision required to move the platform from discretely automated to fully end-to-end. You should have the academic credentials and work experience to think through and own the entire development roadmap of these workcells. Evolve our internal orchestration software. We have an in-house tool that simulates automated experiments and runs workcells today. You'll grow it into a system that designs and executes experiments in an equipment-agnostic way, across every workcell we build. You’ll collaborate with the broader software team to later connect the orchestration software to the rest of the data substrate. Find the next automation frontier. Identify, ideate, prototype, and build new workcells for every part of the wet lab still touching human hands. Build and lead the team. You’ll manage a cross-functional team of biologists, hardware engineers, and software engineers - all working as one cohesive unit. Partner closely with the Head of AI/ML so every workcell is purpose-built for the data it produces. Day one, week one, month one Day one. Walk the lab. Dive head-first into our technologies, including our human immune organoid. Get hands on the hardware. Sit with the biologists keeping the platform running today and find out where the real friction lives. Week one. Audit the full automation stack end-to-end: workcells, orchestration software, data pipeline. Spend real time inside our in-house simulation tool. Identify the single highest-leverage gap between where we are and the "data factory" scale. Month one. Deliver a roadmap to the co-founders: workcell architecture, software evolution plan, hiring plan, and sequencing. Start building: first prototype, first hire, first refactor, whichever moves the platform fastest. Set the cadence and operating model for the team. Who you are A builder. You've taken complex hardware-software systems from blank page to operational, ideally in lab automation, robotics, or biotech. Deep technical range. Real depth in at least two of: mechanical engineering, robotics, computer vision, lab automation — and you can hold your own with experts in the rest. A cross-functional leader. You've run teams where biologists (or other technical experts), hardware folks, and software folks have to ship together, and you know how to keep them aligned without flattening their disciplines. End-to-end owner. Design it, prototype it, ship it, scale it. The hard parts of the build are where you do your best work. A tinkerer and an inventor. You'd rather build the new thing than buy the off-the-shelf one. "No one's done this before" is the part that

The Mission Drug discovery has a translation problem: more than 95% of drugs that succeed in animal models fail in humans. We're building the alternative: human-first drug discovery, powered by organoids and AI, running on real human biology from the very first experiment. Our platform is 87% concordant with clinical patient data - a vast improvement over the 3% translational success rate of animals. We’ve demonstrated the ability to model immunotoxicology, immunogen stimulation, and two autoimmune diseases with more on the way. Numerous pharma partners including 3 Fortune 500 companies are already using the platform. We've raised ~$30M from AIX Ventures, Marc Benioff, Jeff Dean, and Y Combinator. With the FDA Modernization Act 3.0 and the FDA's March 2026 validation framework, the regulatory tailwinds only continue to get stronger. The opportunity ahead of the company is generational: build the first scaled engine for generating real human biological data, and use it to fundamentally change how medicines are discovered. The Opportunity The core problem in drug discovery is that there’s no reliable way to know how a compound will behave in a real human immune system before it enters patients. Animal models fail. Cell lines are too reductive. Clinical trials are too late. Parallel Bio has built the missing prediction layer: patient-derived immune organoids that fully recapitulate human immune system function, combined with advanced computation to generate population-scale drug response data. R&D leaders at biotech and pharma companies who see the platform immediately grasp what it means for their pipelines. Your job is to get them to that moment, and close. We have major pharma Fortune 500 partners, validated technology, and a product the market has been waiting for. What we need now is someone to build the global commercial infrastructure to own and scale our process. What you’ll own Market Build & Revenue. You own the number. You’ll aggressively target and open new accounts across a tiered customer base, from global pharmaceutical companies to high-growth biotech startups, carrying your own quota. Front-Line Outreach. You own your pipeline directly. That means consistent cold calling, daily outreach, and personally working R&D and Discovery leads. This is a hands-on role where you will be driving new business acquisition. Platform Adoption. Prove the scientific utility and translational value of our platform to R&D Heads and C-level executives. You’ll translate complex biology into a compelling commercial narrative. Customer Stewardship & Expansion. Maintain high-level relationships with existing accounts to ensure they see the long-term value of our data, driving multi-year, and expanded adoption. Team Building. As your success scales, you’ll help hire and develop the team. You’re responsible for ensuring junior Account Executives succeed, coaching them on technical objection handling and building the sales culture from the ground up. Operational Excellence. You’ll lead by example on CRM discipline. You’ll insist on clean data, consistent pipeline hygiene, and tight alignment between commercial activity and company-wide scientific goals. Why this role is different This is a front-line execution role, not a management one. You are here to drive revenue through direct action: prospecting, calling, closing, and repeating. Most senior sales hires at this stage want to manage. We need someone who wants to sell. The platform is genuinely novel. That means longer sales cycles and more education, but also a category-defining advantage once you get in front of the right people. You’ll be selling into a buying center (R&D leads, Discovery teams, C-suite) that has never had access to data or a platform like this before. If you’re energized by the challenge of building a market from the ground up, this is the role. If you need a defined playbook waiting for you, this isn’t. What we’re looking for Experience & Track Record 5+ years of

The Mission Drug discovery has a translation problem: more than 95% of drugs that succeed in animal models fail in humans. We're building the alternative: human-first drug discovery, powered by organoids and AI, running on real human biology from the very first experiment. Our platform is 87% concordant with clinical patient data - a vast improvement over the 3% translational success rate of animals. We’ve demonstrated the ability to model immunotoxicology, immunogen stimulation, and two autoimmune diseases with more on the way. Numerous pharma partners including 3 Fortune 500 companies are already using the platform. We've raised ~$30M from AIX Ventures, Marc Benioff, Jeff Dean, and Y Combinator. With the FDA Modernization Act 3.0 and the FDA's March 2026 validation framework, the regulatory tailwinds only continue to get stronger. The opportunity ahead of the company is generational: build the first scaled engine for generating real human biological data, and use it to fundamentally change how medicines are discovered. What you'll own Office & Facilities. Vendor and supply management, mail and shipping, visitor and guest coordination, and everyday systems that make the Brisbane office a place people want to work. As the team grows and the space evolves, this role shapes how the team and space grow with the rest of the company. Onboarding & Offboarding. Own the in-person operational aspects of the employee lifecycle, coordinating with People Ops and IT on the rest, ensuring each new hire's first day feels welcoming and well-prepared. Compliance & Risk. Support employer compliance, labor law filings and requirements, coordinating with Finance and external partners on filings and deadlines. Operational Excellence. Maintain strong documentation and follow-through, including accurate records, current checklists, and clear handoffs between People Ops, IT Ops, and Finance Ops, and steadily raise the bar for how the organization runs as it grows. Why this role is different This is a hands-on execution role, and it's also a foundational one. The work isn't only about keeping things running today; it's about helping define how they run as the company grows into greater scale and complexity. The early work is direct and tangible, closing requests directly rather than routing them, and that grounding is exactly what positions the role to build the systems and standards the next stage of the company will rely on. The scope spans facilities, people ops, compliance, and finance, often within the same day, with the autonomy to own outcomes rather than tasks and the trust to make real decisions. For the right person, that breadth is the appeal: few roles offer this clear a view of how an entire organization fits together, or this much influence over how well it works. The environment is fast-paced, which means ambiguity, shifting priorities, and greenfield space to grow. This is a strong fit for someone energized by bringing order to that and by building something that lasts beyond a single to-do list, and a weaker fit for someone who prefers an established playbook handed to them. What we're looking for Experience & Track Record 3+ years in office management or operations, ideally at a startup through a period of growth A record of owning office and administrative operations end to end, with minimal oversight Experience across the employee lifecycle, including onboarding, offboarding, and access management, is a plus Operational & Compliance Depth Working knowledge of employer compliance obligations: state registrations, filings, labor law requirements, and government portals Fluency with HRIS, IT, and finance platforms (Rippling, Google Workspace, Slack, 1Password, expense tools), or a demonstrated ability to learn new systems quickly A documentation-first instinct and the discipline to keep records, checklists, and inventories accurate and current Ownership Mentality A builder's approach: designing processes, documenting