Senior Quantitative Pharmacology Modeling and Simulation Scientist

American Society for Clinical Pharmacology and Therapeutics; Oxford; On-site; GBP 40,000 - 70,000; Full time

Job summary

A leading company in the field of Quantitative Pharmacology is seeking a motivated individual to join their consulting team. This role offers the opportunity to work on impactful modeling projects across various therapeutic areas and phases of drug development. The successful candidate will engage with clients, lead projects, and contribute to business growth while receiving extensive training and development opportunities.

Qualifications

• PhD in a subject where mathematical/statistical modeling of biology/pharmacology was conducted.
• Over 2 years’ experience in mathematical modeling & simulation.
• Hands-on experience coding in R and Python.

Responsibilities

• Deliver high quality quantitative pharmacology/MIDD modeling and simulation projects.
• Analyze and interpret experimental data from preclinical and clinical studies.
• Collaborate with clients and deliver project reports.

Skills

Mathematical modeling

Statistical modeling

Communication skills

Team collaboration

Data analysis

Education

PhD in Quantitative Systems Pharmacology or related field

Tools

R

Python

MATLAB

Gastroplus

SimCYP

PK-Sim

SimBiology

Monolix

Job description

The successful candidate will join Physiomics’ Quantitative Pharmacology and Data Science consulting team to help us deliver high quality modeling and simulation solutions to our clients. This role is a great opportunity for a motivated individual looking to work on a variety of client modeling projects with real impact. They will get the opportunity to both support and lead projects for a range of clients, from emerging to top tier biopharma and research institutes, as well as projects across the drug development phases and across various therapeutic areas. The role offers fantastic career development opportunities, not only through on the job and external training, but provides the opportunity to be involved in the growth of the business, developing new capabilities and expanding teams.

Key Responsibilities:

• Report to the Head of Quantitative Pharmacology and Data Science
• Function as part of a multidisciplinary team to deliver high quality quantitative pharmacology/MIDD modeling and simulation projects for our clients.
• Carry out research to understand disease pathways and therapeutic mode of action.
• Handle, analyse and interpret experimental data from preclinical and clinical studies, either provided by clients or sourced from scientific literature.
• Develop, refine, or implement existing models, including but not limited to: NCA analysis, PK/PD, popPK, PBPK and QSP models.
• Translate modeling outcomes into actionable insights that guide the client’s understanding and decision-making.
• Collaborate and attend regular meetings with clients, delivering progress update presentations and comprehensive project reports.
• Support Head of Business Development and Head of Quantitative Pharmacology and Data Science with client engagement, supporting the solutioning of new consultancy projects.
• Keep updated of modeling trends, best practice and regulatory requirements across drug development through attendance of events, training and self-learning.

Qualifications

• PhD in a subject where mathematical/statistical modeling of biology/pharmacology was conducted

Ideally the candidate will have a:

• PhD in one of the following: Quantitative Systems Pharmacology, Pharmacometrics, Applied Mathematics, Chem/Bio-Informatics, QSAR, HEOR/Epidemiology Modeling, or relevant corresponding experience.

Experience

• >2 years’ experience providing mathematical modeling & simulation either as a service, or within a biopharma company or research institute.
• Hands-on experience coding (e.g. R, Python)
• Experience in statistical modeling /biostatistics
• Experience working as part of a team delivering modeling and simulation solutions
• Experienced with sourcing public domain data sources and literature search approaches
• Strong scientific knowledge
• Familiarity and awareness of common data and MIDD platforms such as, e.g. Gastroplus, SimCYP, PK-Sim, SimBiology, Monolix
• Strong oral and written communication skills

The ideal the candidate will additionally have:

• Experience delivering on PK/PD / popPK / QSP modeling projects
• Experience across preclinical and clinical research & development with a good understanding of the regulatory requirements
• Experience in R and MATLAB. Experience with data science, including data manipulation, analysis, and visualisation.
• Applied experience. Statistical Modeling
• Project Management experience
• Experience and awareness of oncology disease areas
• Hands on experience with at least one of the MIDD platforms such as, e.g. Gastroplus, SimCYP, PK-Sim, SimBiology, Monolix
• Publications within the modeling and simulation domain, or a related disease biology

Behaviors

• Good communication skills, with experience engaging with both internal and external stakeholders
• Solution orientated thinker, with motivation to seek to understand client needs and then formulate a solution
• Team player – keen to engage, interact and work as part of a team
• Desire to innovate and to promote the utility of modeling and simulations approaches within the pharma industry