Senior R Developer (m/f/d) at esqLABS GmbH
26683 Saterland, Niedersachsen, Germany -
Full Time


Start Date

Immediate

Expiry Date

27 Aug, 25

Salary

0.0

Posted On

28 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Applied Mathematics, Statistical Modeling, Risk Assessment, Pharmacometrics, Integration, Training Material, Reporting, R, .Net, Data Visualization, Organization Skills, Git, Data Science, Parameter Estimation, Data Analysis, Life Sciences, Drug Development

Industry

Computer Software/Engineering

Description

We are seeking a talented and motivated Senior R Developer (f/m/d) to help us develop our R-based toolchain for a cutting-edge modeling and simulation software platform within an interdisciplinary environment as part of the core development team of the cross-industry, open-source project “Open Systems Pharmacology” Suite (OSP Suite with PK-Sim, MoBi, and R Packages, www.open-systems-pharmacology.org).
ESQlabs is an innovative, internationally acting Contract Research Organization and a global leader in the development and application of the OSP Suite (www.open-systems-pharmacology.org). We are a research-focused provider of specialized computational analyses in the life sciences industry.

REQUIRED SKILLS & EXPERIENCE

  • Master’s degree in quantitative sciences such as data science, engineering, applied mathematics, or a similar field
  • A track record of developing and maintaining robust R packages used in production or research environments
  • Good understanding of advanced R programming practices (e.g., metaprogramming, S3/R6 OOP concepts)
  • Proficiency with Git and collaborative development workflows (e.g., pull requests, branching, tagging)
  • Experience configuring CI/CD pipelines for R packages using tools like GitHub Actions, AppVeyor, or similar
  • Passion for and understanding of Life Sciences, ideally with experience working in pharmacometrics or a related field.
  • Strong background in statistical modeling and data analysis, preferably in clinical, biomedical, or regulatory environments
  • Agile mindset, problem-solving skills, and willingness to embrace change and new technologies
  • Strong organization skills and ability to handle multiple tasks simultaneously
  • Ability to prioritize tasks effectively and deliver high-quality work under tight timelines
  • Great critical-thinking and problem-solving skills
  • Fluency in English (oral and written)

ABOUT US

ESQlabs is an innovative, internationally acting Contract Research Organization and a global leader in the development and application of the OSP Suite (www.open-systems-pharmacology.org). We are a research-focused provider of specialized computational analyses in the life sciences industry. In close collaboration with industry and academia, we are committed to software development to fulfil our own and our clients’ needs and the needs of the open-source community.
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

As a part of the ESQlabs software development team, you will develop the R package environment of the OSP Suite in collaboration with highly experienced software developers

  • Development of R workflows supporting Model Informed Drug Development (MIDD) and toxicological risk assessment
  • Development of R packages for modeling and simulation workflows with mathematical models created with the OSP software (integration of R and .NET)
  • Development of R packages for parameter estimation for mathematical models (leveraging machine learning, non-linear mixed effects, log-likelihood, Bayesian modeling)
  • Solutions for data visualization (ggplot, etc.) and reporting (RMarkdown/Quarto)
  • Shiny applications
  • Compilation of training material for internal and external user
Responsibilities

As a part of the ESQlabs software development team, you will develop the R package environment of the OSP Suite in collaboration with highly experienced software developers

  • Development of R workflows supporting Model Informed Drug Development (MIDD) and toxicological risk assessment
  • Development of R packages for modeling and simulation workflows with mathematical models created with the OSP software (integration of R and .NET)
  • Development of R packages for parameter estimation for mathematical models (leveraging machine learning, non-linear mixed effects, log-likelihood, Bayesian modeling)
  • Solutions for data visualization (ggplot, etc.) and reporting (RMarkdown/Quarto)
  • Shiny applications
  • Compilation of training material for internal and external users

  • In this role, you can help redefine the standards for analysis workflows used for M&S and data analysis in the Life Sciences. With your contribution, we aim to make this software the market leader and a go-to tool for the industry.

You can find a selection of R packages developed by or with ESQlabs:

  • esqlabsR - https://github.com/esqLABS/esqlabsR
  • ESQapp - https://github.com/esqLABS/ESQapp
  • OSPSuite-R - https://github.com/Open-Systems-Pharmacology/OSPSuite-R
  • OSPSuite.ParameterIdentification - https://github.com/Open-Systems-Pharmacology/OSPSuite.ParameterIdentification
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