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Parallel Biosystems

AI-assisted immune organoid drug discovery platform

Principal Scientist

Translational Research & Bench BiologyConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$178k - $197k /yrIn-person

About the Job

Requirements

  • Hold a Ph.D. in Immunology, Cell Biology, Biology, Bioengineering, Biomedical Engineering, Molecular Biology, or a related discipline, with typically 10 to 15 or more years of relevant experience developing complex biological assays, models, and platforms; equivalent combinations of education and experience will also be considered.
  • Have deep immunology expertise and hands-on experience with complex human in vitro models, organoids, primary immune cells, or advanced mammalian cell culture.
  • Have direct management experience with bench scientists, including setting scientific direction, running data reviews, and developing scientific judgment in a team.
  • Have experience building biological systems from 0 to 1 and adapting them onto automated or higher-throughput platforms.
  • Have experience building Process Development functions or technology-transfer frameworks in an early-stage biotechnology company.
  • Have experience in assay development, characterization, optimization, and technology transfer.
  • Be able to identify and control biological and technical sources of variability.
  • Have experience developing assays or processes for automated or high-throughput environments.
  • Have experience translating early-stage research and development methods into robust workflows used by other scientists or operational teams.
  • Have experience establishing controls, acceptance criteria, reference standards, or system-suitability approaches for biological assays.
  • Have experience leading technically complex investigations and experimental troubleshooting.

Responsibilities

  • Lead, hire, manage, and develop the scientific team at the San Francisco site, maintaining high standards for experimental rigor and pace.
  • Set scientific direction and experimental strategy for the platform, and resolve competing interpretations.
  • Run regular team data reviews to distinguish biological effects from technical or process effects and determine experiments that resolve questions.
  • Establish standards for experimental design, controls, documentation, reproducibility, and scientific decision-making, and hold the team to them.
  • Facilitate scientific disagreement and reach clear conclusions without suppressing dissent or letting debate stall work.
  • Serve as scientific lead for external partner programs, from experimental design through data delivery.
  • Remain engaged at the bench and personally handle difficult experimental and troubleshooting work.
  • Build biological systems from first principles, taking models from concept to characterized assays and deepening existing assays.
  • Own development and maturation of biological assays and workflows intended for execution on the platform.
  • Translate early research and development assays into robust, repeatable, scalable experimental processes.
  • Develop and execute characterization and optimization strategies for complex organoid and cell-based assays.
  • Identify critical assay and process parameters and determine how they influence biological outputs.
  • Design experiments that establish operating ranges, robustness, and sources of variability.
  • Lead troubleshooting of complex biological and process failures using structured, hypothesis-driven experimentation.
  • Define and build the framework for transferring assays and biological processes from research and development into development and routine Technical Operations.
  • Define entry and exit criteria for each stage of assay maturation and technology transfer.
  • Establish objective platform-readiness acceptance criteria, including controls, expected ranges, reproducibility requirements, and system suitability.
  • Ensure transferred assays have sufficient documentation, reference data, controls, and scientific understanding for reliable execution.
  • Partner with Technical Operations so trained operators can execute new processes reproducibly, rather than only their original developers.
  • Lead or support comparability studies when assays, instruments, workflows, reagents, software, or biological inputs change.
  • Develop strategies to scale biological workflows from exploratory experiments into higher-throughput platform processes.
  • Understand and reduce variability introduced by operators, instruments, automation, reagents, donors, biological materials, and environmental conditions.
  • Establish process controls and monitoring strategies for complex biological workflows.
  • Partner with automation and software teams to translate manual scientific workflows into automated, observable, reproducible platform processes.
  • Identify where additional automation, instrumentation, software, or process controls will materially improve scientific performance.
  • Build processes that balance scientific rigor with throughput, cost, cycle time, and operational complexity.
  • Partner with research and development so new assays account for eventual scale and platform implementation and are ready for technology transfer.
  • Partner with Technical Operations to establish reliable processes for external project execution.
  • Work with platform software, automation, hardware, and data teams to translate biological requirements into platform capabilities.
  • Contribute to platform roadmap decisions by identifying scientific and process-development capabilities required for future programs.
  • Support external pharmaceutical programs by ensuring platform processes are scientifically defensible, reproducible, and suited to the questions being asked.
  • Establish acceptance criteria for core organoid workflows and build the reference data and controls that support them.
  • Establish a recurring scientific review forum with the San Francisco team.
  • Align research and development, development, and Technical Operations on ownership and decision rights, and drive focused characterization experiments against priority gaps.

Desired Qualifications

  • Significant experience developing organoids, immune-cell assays, advanced human cell models, or other highly variable biological systems.
  • Experience scaling biological workflows onto automated laboratory platforms.
  • Experience with Design of Experiments, process characterization, capability analysis, or Quality by Design approaches.
  • Experience working in regulated, quality-controlled, or highly documented scientific environments.
  • Experience supporting pharmaceutical or biotechnology partners and translating external scientific questions into executable platform workflows.
  • Experience partnering deeply with robotics, automation, software, data science, or machine-learning teams.

About the Company

Parallel Biosystems

AI-assisted immune organoid drug discovery platform

Parallel Biosystems provides a drug discovery platform that uses immune organoids, artificial intelligence (AI), and robotics to model human diseases and develop immunotherapies. It offers services to pharmaceutical companies, biotech firms, and research institutions, charging service fees, licensing, and milestone payments. The platform works by growing miniaturized human immune organoids in the lab, applying AI to analyze results and guide experiments, and using robotics to automate workflows, enabling faster, cheaper, and more accurate drug discovery than traditional methods. What sets Parallel Biosystems apart is its combination of human-relevant organoid models with AI analytics and automated lab systems, aiming to produce therapies that work across diverse populations. The company’s goal is to accelerate the development of safer and more effective drugs, speeding therapies from research to patients and expanding options for cancer, autoimmune, and age-related diseases.

Company size
11-50
Company stage
Series A
Total funding
$25.4M
Headquarters
Brisbane, CA
Founded
2020

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