Disease Modeling Scientist

Job content

As a Disease Modelling Scientist, your work will focus on leading the modelling strategy to support the development of a modelling platform for oncology biomarker research in the area of cancer immunotherapy. This modelling agent-based platform is aimed at supporting biomarker research in the identification of optimal biopsy time scheduling based on a prediction of tumor and immune cells temporal dynamics and the impact of pharmacological treatments on its time course.Specifically, you will lead the implementation and testing of different parameter inference techniques to assess model robustness and parameterinference confidence. Key techniques include population hierarchical modelling approaches. The methods will be benchmarked using available clinical biopsydata.Tasks & Responsibilities

• Implement parameter inference techniques using the existing model of tumor and immune cells temporal dynamics. Key techniques include hierarchical modelling approaches and variational Bayes inference,
• Develop a strategy to assess robustness and validity of the developed predictive models
• Lead the further development of the mathematical model with system pharmacology, PK/PD, statistical or machine learning models that can integrate preclinical/clinical data and knowledge on pathophysiological mechanisms, patient characteristics and drug pharmacology
• Communicate the outcome of the work performed to the project teams to support efficient discussion and decision making
• Interact on a scientific level with partners in project team(s) with regards to all aspects of the work performed and ensure high quality reporting of results into internal and external project documents (e.g. Clinical Development Plan, Health Authorities briefing books, Scientific publication)

Must Haves

• Sc or PhD applied to life sciences in the fields of engineering, mathematical modelling, computational biology, biophysics, applied mathematics, machine learning or biostatistics;
• First hands-on experience in disease modelling
• Strong data analysis and data science skills
• Strong analytical skills, with ability to understand and develop mathematical/statistical methods and to translate them into a computational algorithm;
• Strong computational and coding skills and proficiency in at least one high level scientific language (such as R/MATLAB/Julia/Python)

If you would like to learn more about this opportunity, feel free to apply or reach out directly to cogeoghegan@actalentservices.com.Job Title: Disease Modeling ScientistLocation: Basel, SwitzerlandJob Type: ContractAerotek, an Allegis Group company. Allegis Group AG, Aeschengraben 20, CH-4051 Basel, Switzerland. Registration No. CHE-101.865.121. Aerotek and Actalent Services are companies within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Actalent Services, Aston Carter, EASi, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at https://www.allegisgroup.com/en-gb/privacy-notices.To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to https://www.allegisgroup.com/en-gb/privacy-notices.We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at https://www.allegisgroup.com/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield