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Turbine

Cell-simulation platform for oncology drug discovery

Lab Scientist

Translational Research & Bench BiologyPosted on Nov 10
Full-timeBudapest, HungaryNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in biology, bioengineering, or medical sciences, with a few years of wet-laboratory experience.
  • Expertise in cell culturing secondary cancer cell lines; experience with primary culture or induced pluripotent stem cells is desirable.
  • Basic molecular biology and cell biology experience, including plate reader-based assays, small interfering RNA transfection, and microscopy.
  • Digital skills using Excel, PowerPoint, and GraphPad; some programming skills with Python or SQL are desirable.
  • Documentation skills to generate standard operational protocols.
  • Minimal knowledge of statistics and data science is considered a strong advantage.
  • Consistently deliver reliable, high-quality work.
  • Manage time effectively and demonstrate ownership and willingness to help others.

Responsibilities

  • Maintain mammalian cell cultures, perform biobanking, and prepare related reagents.
  • Prepare and perform in vitro experiments planned together with Lead Scientists.
  • Support laboratory robotic automation workflows through logistical preparation and digital documentation.
  • Execute novel assay developments reliably.
  • Report results through the Electronic Lab Notebook system and present them to the wider team.
  • Critically analyze experimental results and integrate insights into ongoing work.
  • Maintain accurate, up-to-date documentation to support transparency and reproducibility.
  • Prepare drug solutions, labware, and other consumables for laboratory automation workflows.

Desired Qualifications

  • Experience with primary culture or induced pluripotent stem cells.
  • Some programming skills with Python or SQL.
  • Knowledge of statistics and data science.

About the Company

Turbine

Cell-simulation platform for oncology drug discovery

Turbine AI builds a cell simulation platform that uses machine learning to model how human cells behave and how cancer treatments may work. Their core product, Simulated Cells, runs virtual experiments to predict which drugs or targets are most likely to be effective and which patients may respond best. The platform helps pharmaceutical teams explore ideas, de-risk development, and potentially cut time and cost in bringing therapies to market. They offer a Virtual Lab to let potential clients test the technology on oncology challenges, including drug resistance in blood cancers. Turbine AI differentiates itself by combining ML-based cell simulations with targeted collaboration with pharma companies (like AstraZeneca) to apply simulations to real drug development problems and identify promising targets and patient populations that traditional lab work might miss.

Company size
51-200
Company stage
Series B
Total funding
$60.9M
Headquarters
Budapest, Hungary
Founded
2016

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