Computational Pharmacokinetics & Metabolism Data Scientist

Deep Origin; España; Presencial; EUR 35.000 - 50.000; Jornada completa

Descripción de la vacante

A biotechnology company is looking for a skilled Data Scientist to develop hybrid computational frameworks in drug metabolism and pharmacokinetics. This entry-level role requires a strong background in mathematical modeling and programming in Python. Ideal candidates will possess a PhD or MS in a relevant field and are adaptable to work in a fast-paced environment, collaborating with multidisciplinary teams.

Servicios

Collaborate on impactful AI + chemistry + biology problems

Work with multidisciplinary teams

Shape predictive drug discovery tools

Formación

• 0-2 years relevant experience for PhD, 2-5 years for MS.
• Experience in pharmacokinetic model development.
• Adaptability to thrive in a fast-paced, deadline-driven environment.

Responsabilidades

• Develop and calibrate ODE-based models for drug metabolism.
• Predict key metabolic and pharmacokinetic parameters.
• Apply statistical inference techniques to fit models to data.

Conocimientos

ODE / PDE modeling

Numerical simulation

Parameter estimation

Python proficiency

Statistical analysis

Collaborative mindset

Educación

PhD in Systems Biology or related field

MS in Computational Pharmacology or related field

Descripción del empleo

Overview

Computational Pharmacokinetics & Metabolism Data Scientist

We are seeking a skilled Data Scientist with expertise in quantitative pharmacokinetics, parameter estimation, and metabolic modeling. You will develop hybrid computational frameworks that combine ordinary differential equation-based (ODE-based) simulations with machine learning methods to predict metabolic parameters, distribution profiles, and biotransformation outcomes. This is a highly interdisciplinary role requiring strong mathematical modeling skills, statistical acumen, and experience integrating diverse datasets into robust predictive models. You will help power Deep Origin's next-generation AI-powered metabolism and pharmacokinetic simulation platform.

Role Description

Collaborate on hybrid approaches that unite mechanistic simulations with AI-driven predictions, integrating data across systems pharmacology, machine learning, and data-driven modeling to advance drug discovery.

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 (0-2 years) or MS (2-5 years) of relevant experience in Systems Biology, Computational Pharmacology, Applied Mathematics, or related field;
• Strong background in ODE / PDE modeling, numerical simulation, and parameter estimation;
• Experience with pharmacokinetic model development;
• Proficiency in Python;
• Basic understanding of drug metabolism and pharmacokinetics (DMPK) concepts;
• Strong statistical analysis skills and experience with Bayesian or frequentist inference methods;
• Ability to critically analyze data and translate findings into actionable predictions and computational models;
• Collaborative mindset, comfortable working in both autonomous and team-based settings;
• Adaptability to thrive in a fast-paced, deadline-driven environment.

Nice to have

• Familiarity with multi-scale modeling (molecular → tissue → organism);
• Exposure to machine learning for parameter prediction or model reduction;
• Prior pharmaceutical or biotech industry experience.

Key Responsibilities

• Develop and calibrate ODE-based models for drug metabolism and distribution;
• Predict key metabolic and pharmacokinetic parameters (e.g., Vmax, Km);
• Model Phase I and Phase II metabolic networks at the systems level;
• Simulate compound distribution inside a defined compartment;
• Apply statistical inference and optimization techniques to fit models to experimental and clinical data;
• Integrate genetic polymorphism data to simulate inter-individual variability in metabolism;
• Engage with colleagues across disciplines to iteratively develop and strengthen models

Why Join Us?

• Work on impactful problems at the frontier of AI + chemistry + biology;
• Collaborate with multidisciplinary teams of scientists;
• Shape next-generation tools for predictive drug discovery

Seniority level: Entry level

Employment type: Full-time

Job function: Other

Industries: IT Services and IT Consulting

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 human healthspan through software solutions and partnerships. We integrate advanced computational methods with experimental data to model biological systems at scale.

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