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Metabolic modeling Scientist

Deep Origin

España

Presencial

EUR 50.000 - 70.000

Jornada completa

Hace 2 días
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Descripción de la vacante

A biotechnology company is seeking a Quantitative Systems Pharmacologist to develop and validate Genome-Scale Metabolic models for mammalian systems. Candidates should have a PhD in a related field, alongside strong Python skills and experience with SBML. This role caters to professionals passionate about utilizing advanced modeling techniques to understand toxicological responses. It offers a dynamic work environment fostering collaboration and knowledge sharing.

Formación

  • PhD in a relevant field is essential.
  • Experience with Genome-Scale Metabolic models is crucial.
  • Fluency in English is needed for collaboration.

Responsabilidades

  • Construct and validate GEMs across various cell and tissue types.
  • Serve as a subject matter expert in metabolic modeling.
  • Coordinate work to meet deadlines and milestones.

Conocimientos

Experience in constructing and applying Genome-Scale Metabolic models
Proficiency in Python
Fluent English

Educación

PhD in Bioengineering, Biotechnology, Systems Biology, or related field

Herramientas

SBML

Descripción del empleo

Deep Origin is a biotechnology company accelerating drug discovery through AI-powered tools. Our platforms simplify R&D, simulate biology, and empower scientists to solve diseases and extend healthspan.

We are looking to recruit a scientist with experience constructing and applying Genome-Scale Metabolic models (GEMs) to mammalian systems. You will construct and validate GEMs across a range of cell and tissue types, and work with other members of the Cellular Simulation team to integrate them into larger composite models, with the aim of understanding and predicting toxicological responses.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Requirements

  • PhD in Bioengineering, Biotechnology, Systems Biology, QSP/PKPD, Systems Pharmacology, etc.
  • Experience constructing and applying Genome-Scale Metabolic models in a mammalian context.
  • Extensive experience in Python.
  • Experience with SBML.
  • Fluent English for collaboration with an international team
  • Ability to work on US time zones when needed

Nice to have:

  • 2+ years of postdoctoral or industry experience constructing and applying Genome-Scale Metabolic models in a mammalian context
  • Application of GEMs in a QSP/QST/Toxicology context.
  • ODE modeling and parameterization.

Responsibilities:

  • Construct and validate GEMs of various cell and tissue types, work with other team members to integrate them into larger models, and apply them to questions of toxicology.
  • Be the subject matter expert on metabolic modeling, ensuring the Cellular Simulations team stays at the forefront of current research
  • Plan and organise work to ensure specific deadlines and milestones are met, coordinating with others to ensure work is correctly aligned and integrated with other efforts.
  • Communicate effectively within the company and external teams, updating others frequently on progress and bottlenecks.

  • Función laboral
    Otro
  • Quantitative Systems Pharmacologist / Systems Biology Scientist
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