United Kingdom Corridor 🛡️ UK Work Eligibility 🏢 Company - Public

Quantitative Systems Pharmacology Student Placement

Salary Range

£20,000 - £20,000

£1,667 - £1,667 / mo

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Location Base

Remote

Tier-1 UK Economic Zone

Est. Take-Home Pay

68% - 74% (After PAYE & NI)

Single tax filer baseline

Transatlantic Parity

1.0 GBP ≈ $1.28 USD Living Standard

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Position Overview & Specifications

Overview:

Opening Date for Applications: Monday 30th January 2023

Closing Date for Applications: Friday 24th February 2023

Interviews: Week commencing, Monday 6th March 2023

Line of Management: Principal Scientist, QSP / Director, QSP

Position Type: Full Time, year placement starting September 2023

Holiday Entitlement: 25 days, plus statutory bank holidays

Salary: £20,000

Location: Sheffield or Canterbury UK

Job Overview:

We are seeking undergraduate level first degree students who share our passion for using quantitative approaches to understand and impact complex drug discovery and development questions. The students will learn about the exciting breaking science of QSP, utilising mathematical systems models of disease to discover and develop novel medicines. They will work in close collaboration with Certara staff to help generate state-of-the-art QSP models for users in pharmaceutical R&D. The models will be designed in dialogue with the clients and developed with a view to creating user-friendly models that will inform drug development programs from discovery to regulatory filing.

Qualifications:

Requirements:

Essential

Technical

A-level or equivalent biology, chemistry, physics.
2 years undergraduate degree education biomedical/life sciences.

Team working

Good interpersonal skills.

Personal

Passionate about using mathematical approaches to improve drug discovery.
Self-motivated.
Willing to work in, or relocate to, Canterbury or Sheffield, UK.

Other skills

Computer literate and familiar with modern communications technology.
Familiar with Excel, PowerPoint, Word etc.
Some familiarity with the use of search engines/PubMed etc. to find biomedical scientific data.

Role

Work with QSP modellers to find and interpret relevant data via literature searching and, where appropriate, capture this data.
Rendering data in appropriate format for fitting and/or analysis.
Data fitting and model building as appropriate.

Desirable

Technical