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12 Month University Industrial Placement Student (UIPS): Computational Chemistry

  • Internship
    Full-time
    Off-cycle Internship
  • Science
  • Cambridge
  • Quick Apply
    9d left

AI generated summary

  • You must be pursuing an undergraduate chemistry degree and be available for a 12-month industrial placement starting September 2025.
  • You will design drugs using structure-ligand approaches, apply machine learning for molecule design, implement cheminformatics, analyze literature data, and run molecular dynamics simulations.

Requirements

  • Required:
  • Currently undertaking an undergraduate chemistry degree with the opportunity to spend 1 year in industry starting in September 2025.

Responsibilities

  • Carrying out structure- and ligand-based drug design
  • Employing machine learning and generative AI algorithms for de novo molecule design
  • Implementing cheminformatics workflows
  • Analysis of data from literature and high-throughput screens
  • Running physics-based modelling including docking, free energy perturbation and molecular dynamics simulations

FAQs

What is the duration of the placement?

The placement is for a duration of 12 months.

When does the placement start?

The placement starts on 1st September 2025.

What is the salary for this position?

The base salary for this position is £26,000, along with a bonus and flexible benefits.

What qualifications are required for this position?

Applicants must be currently undertaking an undergraduate chemistry degree with the opportunity to spend one year in industry starting in September 2025.

When do applications open and close?

Applications open on 2nd September 2024 and close on 29th September 2024.

What is the assessment day date for this position?

The assessment day is scheduled for 20th November 2024.

What kind of tasks will the placement student be involved in?

The placement student will be involved in tasks such as structure- and ligand-based drug design, employing machine learning algorithms for molecule design, implementing cheminformatics workflows, data analysis from high-throughput screens, and running physics-based modelling.

Is there a support network for placement students?

Yes, there is a dedicated supervisor, a supportive early talent peer network, and various Employee Resource Groups available for support.

What skills can be developed during this placement?

Students can develop skills in drug design, modern software packages, machine learning methods, programming, cheminformatics workflows, and teamwork within a research environment.

How should candidates apply for the position?

Candidates should submit a cover letter highlighting any scholarships, publications, lab experience, or extracurricular activities along with a CV.

What type of organization is AstraZeneca?

AstraZeneca is a global, science-led, patient-centred biopharmaceutical company focused on the discovery, development, and commercialization of prescription medicines for serious diseases.

Where is the placement located?

The placement is located at AstraZeneca's Discovery Centre (DISC) in Cambridge, UK.

Is the placement role focused on a specific area of research?

Yes, the placement role is focused on computational chemistry research activities relevant to drug discovery, particularly in the Oncology therapeutic area.

What science can do

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

We're transforming the future of healthcare by unlocking the power of what science can do for people, society and the planet. AstraZeneca is a global pharmaceutical company dedicated to improving the health and well-being of people worldwide. With a focus on innovative research and development, AstraZeneca develops and manufactures a wide range of prescription medicines, including treatments for cardiovascular, respiratory, oncology, and other therapeutic areas. Their aim is to transform the lives of patients by discovering, developing, and delivering innovative medicines that address unmet medical needs. AstraZeneca's purpose is to push the boundaries of science and collaborate with healthcare professionals, organisations, and communities to improve patient outcomes and contribute to the advancement of healthcare globally.