Head of Product

About Parallel Bio

Parallel Bio is pioneering human-first drug discovery by creating the first map of human biology. Using groundbreaking biological and computational tools that track real clinical outcomes, the company generates data that enable earlier, more reliable decisions about disease biology and drug development.

Parallel Bio’s platform overcomes the core limitations of traditional animal testing, which fails to encapsulate the complexity of human biology. The company is building internal pipelines of novel disease targets and drug candidates in both cancer and autoimmune disease, while collaborating with pharmaceutical companies to evaluate therapies directly in human systems to reduce the cost and risk of clinical trials.

Based in San Francisco, the company was founded in 2021 by two of the world’s leading experts in replacing animal models with human-first platforms.

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About the role

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 We believe immunotherapies are the future of medicine, but their discovery is hindered by outdated models that fail to capture the complexity of the human immune system.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.

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The Role

We are looking for a Fractional Head of Product to own and execute on a defined set of workstreams within the Data & Infrastructure team. This role sits across three layers from a product perspective: understanding what the physical infrastructure produces, how the back end structures and serves it, and how the front end surfaces it. The immediate priority is a platform evaluation and build-vs-buy analysis for our data infrastructure, followed by a rightsizing of the front-end data layer. This is an execution role with a clear mandate.

The right candidate has product-managed data-intensive systems and can operate across technical and scientific teams autonomously.

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What You Would Own

• Sequencing data integration and tooling work across internal use cases (experiment design, execution tracking, QC, analytical workflows) and external-facing deliverables (data packages, reports)
• Translating scientific and commercial data needs into clear specs for engineering, working closely with computational biology, data engineering, and automation teams
• Defining product direction for the interfaces, dashboards, and visualization tools through which scientists and partners interact with our biological data
• If a platform change is warranted, outlining a de-risked migration path (pilot, parallel run, validation) that protects production workflows
• Drafting decision memos that frame tradeoffs clearly for leadership, covering team impact, database setup speed, development velocity, and total cost of ownership
• Inventorying current platform usage, workflows, integrations, and pain points to produce a build-vs-buy recommendation
• Leading a structured assessment of our current data infrastructure against alternatives, including cost, speed, hiring implications, and switching costs

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Experience

• 5+ years of technical product management, with meaningful time in data-intensive environments
• Familiarity with scientific data workflows, LIMS, or laboratory informatics; Benchling experience is a plus
• Track record of managing data platform or infrastructure products, including build-vs-buy evaluations, vendor assessments, or migration planning
• Strong written output: decision memos, specs, roadmaps, and tradeoff analyses that leadership can act on without a meeting
• Prior product role spanning technical execution and organizational coordination at a startup
• Familiarity with laboratory automation systems and instrument-to-data pipeline architecture

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Working Style

• High agency; you default to execution with incomplete information and organize around the highest-value work without waiting for direction
• Clear communicator who can move between engineering architecture discussions and leadership briefings in the same afternoon
• Builds trust with scientific teams by understanding their workflows at a working level, not treating scientific context as overhead
• Comfortable in early-stage environments where resources are constrained and clarity is something you create rather than inherit

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Location & Hours

This is an in-person role based at our San Francisco office, approximately 20 hours per week. You’ll embed directly with our engineering team to drive execution and ensure cross-functional alignment operate productively from planning to completion.

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Technology

Parallel Bio models the immune systems of both healthy and diseased patients to uncover novel biology and identify drugs that actually work. We source blood and tissue directly from patients to build a proprietary biobank, which powers our immune organoids. Our organoids can be combined with other organ systems, cells, and tissues to create biologically accurate models of human health and disease at scale. These models then enter our closed loop end-to-end automation - a flywheel that continuously generates human biological data to build one of the largest datasets of its kind.The high-dimensional multi-omics data generated by our platform reveal new disease mechanisms, identify which drugs will succeed and why others fail in specific populations, and directly support FDA submissions.The result: a faster, smarter path from biological insight to the clinic.

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How to Apply

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