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Internship PBK Modelling and High-Throughput NGRA (m/f/d)

Role overview

Qualifications

  • MSc in toxicology, pharmacology, environmental science, computational biology, or a related field
  • Good R knowledge and programming skills
  • Basic understanding of PBK modelling principles and toxicokinetics
  • Familiarity with NGRA concepts, IVIVE, or high-throughput screening is a strong plus

Responsibilities

  • Literature review and data extraction for environmental compounds
  • Collection and curation of physicochemical and toxicokinetic/ADME data for PBK model parameterization and evaluation
  • Data cleaning, organisation, analysis, and visualisation in R
  • Application of high-throughput PBK or toxicokinetic modelling workflows

Key facts

  • Remote from: Germany
  • Internships
  • Entry-level / graduate
  • English

Other skills

  • Organizational Skills
  • Detail Oriented
  • Collaboration
  • Curiosity

About the company

esqLABS GmbH logo

esqLABS GmbH

Contract Research Organizations (CRO)

esqLABS is a digital life-sciences solutions company that leverages PBPK, PBTK and QSP/T modeling and simulation approaches in the pharma, crop and chemical industry to help R&D teams achieve the best results with their new chemical or biologic entities. Our name stands for efficacy, safety and quality in life-sciences. We are your partner for modeling and simulation and for personalized and translational medicine solutions. Let us set upon a new path in the life-sciences, together. Join us!

Company details

Company typeScaleup
IndustryContract Research Organizations (CRO)
Company size11 - 50

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Job description

Internship PBK Modelling and High-Throughput NGRA of Environmental Compounds

We are looking for a motivated scientist to join our modelling team. You'll contribute to an exciting project, developing and applying physiologically based pharmacokinetic (PBPK) models using a high-throughput framework to support next-generation risk assessment (NGRA) of environmental chemicals (e.g. pesticides, environmental contaminants, food contact materials etc).

The internship is suited to a master student or early-career scientist with a strong interest in computational toxicology and toxicokinetics, in vitro to in vivo extrapolation (IVIVE) and the use of new approach methodologies (NAMs) in chemical safety assessment.

A key requirement for this role is good working knowledge of R programming language. You will work with an existing high-throughput modelling and data-analysis pipeline developed in R, supporting its application to environmental compounds, by organizing input datasets, running pipeline components, checking outputs, generating summaries, and interpretating model results.

Key responsibilities

The intern may support activities such as:

  • Literature review and data extraction for environmental compounds

  • Collection and curation of physicochemical and toxicokinetic/ADME data for PBK model parameterization and evaluation

  • Data cleaning, organisation, analysis, and visualisation in R

  • Application of high-throughput PBK or toxicokinetic modelling workflows

  • IVIVE calculations

  • Preparation of technical summaries, figures, tables, and project documentation

  • Contribution to internal scientific discussions and reporting

Candidate profile

We are looking for an organised, curious, and detail-oriented candidate with a strong interest in computational approaches to chemical safety assessment.

The candidate should have:

  • MSc in toxicology, pharmacology, environmental science, computational biology, or a related field (recently completed or about to complete)

  • Good R knowledge and programming skills

  • Basic understanding of PBK modelling principles and toxicokinetics

  • Familiarity with NGRA concepts, IVIVE, or high-throughput screening is a strong plus

  • A detail-oriented mindset and ability to work independently as well as in a team

  • Prior experience with PBK/PBPK modelling, IVIVE, toxicokinetics, or NGRA is a plus but not essential. Familiarity with packages or tools for modelling, data analysis, and visualisation in R is most important.

What's in store for you

The dynamic team behind ESQlabs unites people with different backgrounds, spanning disciplines like pharmaceutical sciences, physics, bioinformatics, mathematics, data science, and software engineering. Our trust in each other, our open-mindedness, and our constant quest for excellence and innovation unite us. We value flat hierarchies, where everyone can contribute ideas and expertise to develop the best product. We are passionate, always willing to broaden our horizons, and love our start-up culture.

You will also benefit from:

  • Flexible work hours and a home office policy that focuses on people and not on numbers

  • A working environment in which your contribution will make a difference, and that allows you to take ownership of projects and processes

  • Responsibility, autonomy, participation, and career perspective

About us

We collaborate with global corporations in the pharma and chemical industry, as well as start-ups in the life-science technology sector and academic and non-profit research institutions. We define new standards in pharmacometrics and systems pharmacology and toxicology areas. Our software and model platforms help scientists understand mechanisms of diseases and chemical toxicity to optimize individualized treatment of patients and protect the health of the animal and human life.

ESQlabs has attracted international players as sponsors for the OSP Software development. In addition, funding through national and EU-wide research grants allows us to develop our core technologies continuously.

For more information about our culture, values and benefits visit our Unique career opportunities - ESQlabs GmbH

At ESQlabs, we are committed to diverse backgrounds and experiences.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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