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Associate Principal Scientist, QSP

TN United Kingdom

United Kingdom

On-site

GBP 60,000 - 100,000

Full time

6 days ago
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Job summary

An innovative firm is seeking a highly motivated Associate Principal Scientist to join their Quantitative Systems Pharmacology team. This role offers the opportunity to work on impactful drug discovery projects in a collaborative environment. Ideal candidates will have a PhD and postdoctoral experience in systems modelling, along with strong expertise in Matlab and Neuron. You'll lead projects, mentor junior staff, and ensure delivery of high-quality solutions to clients. Join a dynamic team dedicated to advancing meaningful medicines and making a real difference in healthcare.

Qualifications

  • Postdoctoral experience in systems modelling for drug discovery.
  • PhD in life sciences or related fields required.

Responsibilities

  • Overall responsibility for project delivery of quality QSP solutions.
  • Provide hands-on technical support for model building.

Skills

Systems Modelling
Pharmacology
Biology
Matlab
Neuron
Interpersonal Skills

Education

PhD in Life Sciences
Postdoctoral Experience

Tools

Matlab
Neuron

Job description

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Associate Principal Scientist, QSP, United Kingdom

Client: Certara

Location: United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 0143c01cec68

Job Views: 9

Posted: 24.04.2025

Expiry Date: 08.06.2025

Job Description:

Overview

About Certara

Certara is a growing company that provides a dynamic and exciting place to work. Our purpose is to assist in accelerating the development of meaningful medicines that make an impact on our society and the people that need them most. Innovation and creativity are highly valued, and everyone is given the opportunity for training and continuous development. Our portfolio spans the discovery, preclinical, clinical, and post-marketing phases of drug development, working with 1,200 commercial companies, 250 academic institutions, and numerous regulatory agencies.

The Certara Quantitative Systems Pharmacology (QSP) group is a global organization focused on the impactful application of QSP and mechanistic PKPD modeling and simulation in drug discovery and development. We are leading several first-of-its-kind QSP Consortia with more than 10 global pharmaceutical companies and have a rapidly expanding consultancy portfolio. Our QSP scientists work in close collaboration with other Certara staff and clients to generate and use state-of-the-art mechanistic models for decision making in pharmaceutical R&D. The models are designed in close dialogue with clients and developed with a view to creating user-friendly tools that will inform drug development programs from discovery to regulatory filing. We have a unique capability to seamlessly integrate bespoke QSP models into the Simcyp physiologically based pharmacokinetic (PBPK) platform. Besides our well-established leadership in applied QSP approaches in Immunology and Immuno-Oncology, we are now also the leading provider of QSP approaches in neurodegenerative diseases through Certara’s recent acquisition of the In Silico Biosciences modeling platform.

We are seeking highly motivated and talented QSP modeling experts at all levels, who share our passion for using quantitative approaches to understand and impact complex drug discovery and development questions. Positions are available at various levels of experience across our global locations and for flexible, home-based roles.

Responsibilities
  • Postdoctoral experience in systems modelling for drug discovery/development teams.
  • PhD (or equivalent) in life sciences, engineering, computer sciences, mathematics, physics, or equivalent.
  • Good understanding of PKPD, pharmacology, and biology and its application in drug discovery and development.
  • Very familiar and outstanding hands-on expertise with Matlab, Neuron, or other similar modelling software.
  • Strong publication record (commensurate with level of experience).
Team working
  • Excellent interpersonal skills.
  • Skilled and experienced at facilitating a multi-disciplinary team to work together on a complex project.
  • Ability to communicate with all stakeholders clearly and efficiently.
  • Organized and with a track record of delivering quality results on time.
Personal
  • Ability to work virtually with project teams across different locations and time zones.
  • Leads by example.
  • Self-reliant.
Other skills
  • Highly computer literate and familiar with modern IT and communications technology.
  • Good presentation skills.
  • Combines scientific excellence with the ability to make an impact in drug discovery and development programs.
  • Ability to manage multiple client project timelines and deliverables simultaneously.
Role (depending on experience)
  • Overall responsibility for project delivery of quality QSP solutions on time.
  • Provide hands-on technical support for model building when required.
  • Work with clients to ensure they receive the expected added value.
  • Work with the consortium/consulting teams to ensure optimal deployment of resources.
  • Work with Certara QSP line management to deliver optimum solutions.
  • Provide general expert technical input across Certara QSP portfolio.
  • Mentor other Certara QSP staff.
Qualifications
  • Postdoctoral experience in systems modelling for drug discovery/development teams.
  • PhD (or equivalent) in life sciences, engineering, computer sciences, mathematics, physics, or equivalent.
  • Good understanding of PKPD, pharmacology, and biology and its application in drug discovery and development.
  • Very familiar and outstanding hands-on expertise with Matlab, Neuron, or other similar modelling software.
  • Strong publication record (commensurate with level of experience).

Certara bases all employment-related decisions on merit, considering qualifications, skills, achievements, and performance. We treat all applicants and employees without regard to personal characteristics such as race, color, ethnicity, religion, sex, sexual orientation, age, nationality, marital status, pregnancy, physical or mental condition, genetic information, military service, or other characteristic protected by law.

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