Home

Careers

Build the operating layer for virtual biology.

Biosimulant is building tools for composing, running, sharing, and reviewing scientific simulations. We care about rigorous software, clear interfaces, and research workflows people can trust.

View open rolesGeneral interest

How we work

Small team, high-leverage problems.

We build product surfaces and runtime systems together, because scientific tools fail when product and infrastructure drift apart.

We value calm execution, explicit tradeoffs, and interfaces that make complex simulations inspectable instead of mysterious.

We are especially interested in people who can move between rigorous engineering and the messy reality of research workflows.

Open roles

Current openings

Do not see the exact title but think you should be here? Send a focused note to demi[at]biosimulant.com.

Model Engineering

Model Engineering

PhD Student, Model Engineering

Turn the latest biology models into runnable Biosimulant Hub labs. You will package AI/ML, ODE, stochastic, mechanistic, and standards-based models into reproducible workflows researchers can run, inspect, and extend.

RemotePart-time / flexible
Apply

What you will do

  • Package AI/ML, mechanistic, ODE, stochastic, and standards-based biology models as runnable Biosimulant Hub labs.
  • Build clear workflows around public and newly published models so researchers can reproduce, inspect, and adapt them.
  • Write Python adapters, validation scripts, metadata, examples, and documentation that make each model usable beyond a one-off demo.

What you bring

  • Current PhD student or recent PhD-track researcher in computational biology, genomics, systems biology, bioinformatics, ML for biology, pharmacometrics/QSP, synthetic biology, neuroscience, molecular modeling, or a related biotech field.
  • Strong Python ability and comfort reading papers, model repositories, notebooks, and scientific code.
  • Familiarity with biological modeling, ML systems, simulation workflows, or reproducible computational research.

Helpful background

  • Experience with SBML, CellML, ONNX, PyTorch, JAX, SciPy, or workflow tooling.
  • Taste for making complex scientific work understandable through examples, manifests, and runnable packages.

How to apply

Send a short note about your research area, links to code or papers if available, and one model or workflow you would want to make runnable in Biosimulant.

Stack

PythonNumPy/SciPyPyTorch or JAXpandasSBML/CellMLODE/stochastic simulationML model packagingworkflow automation

Product engineering

Product engineering

Founding Frontend Engineer

Build and refine the product surfaces people use to discover labs, run simulations, compare results, and manage work across Biosimulant Web, Hub, and Desktop.

RemoteFull-time
Apply

What you will do

  • Own polished product surfaces across the web app, Hub, desktop UI, run review, lab browsing, and workspace flows.
  • Improve navigation, dashboards, account surfaces, empty states, loading states, and interaction details that make Biosimulant feel reliable.
  • Build durable frontend systems with clear state, routing, testing, and component patterns across browser and desktop surfaces.

What you bring

  • Strong production experience with TypeScript, React, CSS, and component-driven frontend architecture.
  • Comfort designing dense application workflows where correctness, speed, and usability matter more than decoration.
  • Ability to ship independently while keeping product code readable, tested, accessible, and easy to extend.

Helpful background

  • Experience with Next.js App Router, Tauri, Playwright, Vitest, graph/canvas interfaces, or design systems.
  • Background building developer tools, data tools, scientific interfaces, or other dense professional software.

How to apply

Send a short note, links to product surfaces or UI systems you are proud of, and a few sentences about how you think scientific software should feel.

Stack

TypeScriptReactNext.jsTailwind CSSVitestPlaywrightTauri/Desktop UIdesign systems