Modelling and Simulation Scientist

Modelling and Simulation Scientist

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead exciting modelling and simulation projects in quantitative pharmacology.
  • Company: Join a renowned consultancy working with top-tier pharma and research institutes.
  • Benefits: Enjoy remote work flexibility and the option to work from Oxford.
  • Why this job: Make a real impact in oncology while collaborating with diverse clients.
  • Qualifications: PhD in relevant field and 2+ years of modelling experience required.
  • Other info: Proficiency in R and MATLAB is essential; apply easily online!

The predicted salary is between 36000 - 60000 £ per year.

This is an opportunity to join a growing consultancy business, renowned for their work across emerging biopharma companies to top-tier pharma and leading research institutes. They have a huge presence across the oncology fields in particular, with several long standing global clients. As part of their growth, they are recruiting for an experienced Modelling and Simulation Scientist who will join the Quantitative Pharmacology Team.

You will have the opportunity to work fully remote, with the option for office in Oxford! You will lead clients on their journey to success, putting into practice your expertise across various modelling techniques such as QSP, PK/PD and more. Clients will range from small to enterprise organisations with specialist research areas.

Core responsibilities
  • Deliver high quality quantitative pharmacology modelling and simulation projects
  • Analyse and interpret experimental data from preclinical and clinical studies
  • Develop, refine, or implement existing models such as PK/PD, popPK, PBPK and QSP models
  • Work directly with customers to understand scope
Core requirements
  • PhD in a subject where mathematical/statistical modelling of biology/pharmacology was conducted
  • At least 2 years' experience providing mathematical modelling & simulations
  • Experience in R and MATLAB
  • Experience with data science, (data manipulation, analysis, and visualisations)

Apply now by hitting 'Easy Apply' or email dion@entrustrs.com for further details!

Modelling and Simulation Scientist employer: Entrust Resource Solutions

Join a dynamic consultancy that champions innovation in the biopharma sector, offering a fully remote working environment with the flexibility of an office in Oxford. Our collaborative culture fosters professional growth and development, empowering you to lead impactful modelling and simulation projects for a diverse range of clients, from emerging biopharma to top-tier pharmaceutical companies. With a strong focus on oncology and a commitment to excellence, we provide a rewarding platform for your expertise to thrive.
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Contact Detail:

Entrust Resource Solutions Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Modelling and Simulation Scientist

✨Tip Number 1

Familiarise yourself with the latest trends and advancements in quantitative pharmacology, particularly in modelling techniques like PK/PD and QSP. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.

✨Tip Number 2

Network with professionals in the biopharma industry, especially those working in modelling and simulation roles. Attend relevant webinars or conferences to make connections and gain insights that could give you an edge in your application.

✨Tip Number 3

Prepare to discuss specific projects where you've successfully applied modelling techniques. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will showcase your problem-solving skills.

✨Tip Number 4

Since the role is remote, emphasise your ability to work independently and manage your time effectively. Share examples of how you've successfully collaborated with teams or clients remotely to highlight your adaptability.

We think you need these skills to ace Modelling and Simulation Scientist

Quantitative Pharmacology
Pharmacokinetics (PK)
Pharmacodynamics (PD)
Mathematical Modelling
Simulation Techniques
Data Analysis
Statistical Modelling
R Programming
MATLAB
Data Manipulation
Data Visualisation
Experimental Data Interpretation
Client Engagement
Project Management
Problem-Solving Skills

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Modelling and Simulation Scientist position. Familiarise yourself with key terms like QSP, PK/PD, and the specific modelling techniques mentioned in the job description.

Tailor Your CV: Customise your CV to highlight relevant experience in mathematical modelling and simulations. Emphasise your PhD work and any projects that involved R and MATLAB, as well as your data science skills.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantitative pharmacology and your experience in the field. Mention specific projects or achievements that demonstrate your expertise in modelling and simulation.

Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.

How to prepare for a job interview at Entrust Resource Solutions

✨Showcase Your Technical Skills

Make sure to highlight your experience with R and MATLAB during the interview. Be prepared to discuss specific projects where you applied these tools, as well as any challenges you faced and how you overcame them.

✨Demonstrate Your Understanding of Modelling Techniques

Familiarise yourself with various modelling techniques such as PK/PD, popPK, PBPK, and QSP. Be ready to explain how you've used these methods in past roles and how they can benefit the consultancy's clients.

✨Prepare for Data Analysis Questions

Since the role involves analysing and interpreting experimental data, brush up on your data manipulation and visualisation skills. Expect questions that assess your ability to derive insights from complex datasets.

✨Engage with Client-Focused Scenarios

As you'll be working directly with clients, think about how you would approach understanding their needs. Prepare examples of how you've successfully collaborated with clients in the past to deliver tailored solutions.

Modelling and Simulation Scientist
Entrust Resource Solutions
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