Computational Chemist

Computational Chemist

Cambridge Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop computational models and simulations to support drug discovery projects.
  • Company: Join a leading pharmaceutical research facility focused on innovative drug discovery.
  • Benefits: Enjoy a competitive salary, excellent benefits, and opportunities for professional growth.
  • Why this job: Be at the forefront of drug development and collaborate with top scientists in the field.
  • Qualifications: PhD in Computational Chemistry; experience in drug discovery is a plus.
  • Other info: Work with cutting-edge technology and contribute to impactful therapeutic advancements.

The predicted salary is between 28800 - 48000 £ per year.

Job Description

We are working with a leading pharmaceutical research facility that supports drug discovery programs from Target ID through to clinical candidacy. As a Senior Computational Chemist, you will develop computational simulations, models and data analysis techniques to support scientists throughout drug-discovery projects.

Key Responsibilities:

  • Develop and implement computational models and simulations to help support our drug discovery projects
  • Analyse datasets using statistical and machine-learning techniques
  • Collaborate with experimental scientists to validate models and integrate computational insights into practical applications
  • Optimise algorithms and workflows for efficiency and scalability
  • Write and maintain clear, well-documented code and technical reports
  • Stay up to date with the latest developments in computational science and apply innovative methods where appropriate
  • Present findings to internal teams and external collaborators

The ideal candidate will have:

  • PhD in Computational Chemistry – additional industrial experience supporting drug discovery programs is advantageous
  • A solid understanding of the structural and physicochemical determinants of molecular recognition
  • Experience working with experimental biomolecular docking, pharmacophore modelling, conformational analysis, quantum chemistry, homology modelling, molecular dynamics
  • Strong background in computational modelling, numerical methods, or scientific computing & knowledge of programming languages such as Python, C++, R, MATLAB

Knowledge and experience with the Maestro and Schrodinger Suite components, high-performance computing (HPC) and cloud computing environments is highly desirable.

In return, our client can offer a competitive remuneration package including excellent benefits and the chance to play key role in the development of thereaputics for various disease targets.

Key words: Senior Computational Chemist, CADD, Drug Discovery, HIT ID, Target ID, Clinical, physiochemical, molecular recognition, simulation, model, biomolecular cocking, molecular dynamics, Maestro, C++, Python, AI, Machine learning, Cambridge, London, Bedford, Oxford, Hertfordshire, VRS8989DT.

Please note that by submitting your application to VRS Ltd your details will be registered with us so that we can contact you about suitable job opportunities now and in future. You may unsubscribe at any time by emailing us directly via our website.

Computational Chemist employer: VRS Recruitment

Join a leading pharmaceutical research facility in the vibrant area of Cambridge, where innovation meets collaboration. As a Senior Computational Chemist, you will not only contribute to groundbreaking drug discovery projects but also enjoy a supportive work culture that prioritizes employee growth and development. With competitive remuneration, excellent benefits, and the opportunity to work alongside top scientists in a dynamic environment, this role offers a meaningful and rewarding career path.
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Contact Detail:

VRS Recruitment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Computational Chemist

✨Tip Number 1

Make sure to highlight your experience with computational models and simulations in your conversations. Discuss specific projects where you've successfully applied these techniques, as this will demonstrate your practical knowledge and relevance to the role.

✨Tip Number 2

Network with professionals in the pharmaceutical research field, especially those who work in drug discovery. Attend relevant conferences or webinars to connect with potential colleagues and learn about the latest trends and technologies in computational chemistry.

✨Tip Number 3

Stay updated on the latest advancements in machine learning and statistical analysis techniques. Being able to discuss recent innovations and how they can be applied to drug discovery will set you apart during interviews.

✨Tip Number 4

Prepare to discuss your coding skills in detail, particularly in Python, C++, and R. Be ready to provide examples of how you've written clear, well-documented code and how it has contributed to the success of your projects.

We think you need these skills to ace Computational Chemist

PhD in Computational Chemistry
Computational Modelling
Statistical Analysis
Machine Learning Techniques
Programming Languages (Python, C++, R, MATLAB)
Biomolecular Docking
Pharmacophore Modelling
Conformational Analysis
Quantum Chemistry
Homology Modelling
Molecular Dynamics
High-Performance Computing (HPC)
Cloud Computing Environments
Algorithm Optimization
Data Analysis Techniques
Technical Report Writing
Collaboration with Experimental Scientists
Clear Documentation Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your PhD in Computational Chemistry and any relevant industrial experience. Emphasize your skills in computational modelling, programming languages like Python and C++, and your familiarity with tools such as the Maestro and Schrodinger Suite.

Craft a Strong Cover Letter: In your cover letter, express your passion for drug discovery and how your background aligns with the responsibilities of the Senior Computational Chemist role. Mention specific projects or experiences that demonstrate your ability to develop computational models and collaborate with experimental scientists.

Showcase Relevant Projects: Include examples of past projects where you applied machine learning techniques or developed simulations. Highlight any successful collaborations with experimental teams and how your contributions led to practical applications in drug discovery.

Proofread and Format: Before submitting your application, carefully proofread all documents for clarity and correctness. Ensure that your formatting is professional and consistent, making it easy for the hiring team to read and understand your qualifications.

How to prepare for a job interview at VRS Recruitment

✨Showcase Your Technical Skills

Be prepared to discuss your experience with programming languages like Python, C++, and R. Highlight specific projects where you've developed computational models or simulations, and be ready to explain the methodologies you used.

✨Demonstrate Collaboration Experience

Since collaboration with experimental scientists is key, share examples of how you've worked in interdisciplinary teams. Discuss how you validated models and integrated computational insights into practical applications.

✨Stay Current with Computational Science

Research recent advancements in computational chemistry and drug discovery. Be ready to discuss how you can apply innovative methods to their projects, showing that you're proactive about staying updated in your field.

✨Prepare for Technical Questions

Expect questions related to molecular recognition, biomolecular docking, and other relevant topics. Brush up on your knowledge of high-performance computing and cloud environments, as these are desirable skills for the role.

Computational Chemist
VRS Recruitment
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  • Computational Chemist

    Cambridge
    Full-Time
    28800 - 48000 £ / year (est.)

    Application deadline: 2027-04-06

  • V

    VRS Recruitment

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