Open role
Computational Chemist
- Aggregated by CV-Library
- Cambridge
- Permanent
- Full Time
- £60,000 - £60,000 Per Annum
Job Description
ROLE OVERVIEW:
Are you a passionate Computational Chemist looking to make a significant impact in the field of drug discovery? A leading biotech organisation in the Cambridge area is seeking a talented individual to join their dynamic team. This role offers the chance to work on cutting-edge projects in a collaborative and innovative environment, where your contributions can directly influence the development of new therapies for neurological disorders and oncology.
KEY DUTIES AND RESPONSIBILITIES:
Your duties as Computational Chemist will be varied; however, the key duties and responsibilities are as follows:
1. Contribute to the development and application of the internal simulation platform, with a particular focus on free energy and related molecular simulation approaches.
2. Develop and apply advanced molecular simulation and free energy methods to guide compound design.
3. Collaborate closely with medicinal chemistry and structural biology teams to integrate computational approaches.
4. Validate novel methods against high-quality experimental datasets.
SKILLS AND EXPERIENCE:
To be successful in your application to this exciting role as Computational Chemist, we are looking to identify the following on your profile and past history:
1. PhD in Computational Chemistry or a related field.
2. Proven industry experience in developing and/or applying modern simulation methods (e.g., FEP/TI) in a drug discovery context.
3. Strong programming and scripting skills, ideally in Python, with an interest in developing robust, scalable workflows.
The organisation offers excellent training and career development opportunities, a highly competitive salary, and a benefits package that includes hybrid working options to promote a flexible and inclusive work environment.
Key Words: Computational Chemist / Molecular Simulation / Drug Discovery / Free Energy Methods / Python / Multidisciplinary Teams / Cambridge / Structural Biology / Medicinal Chemistry / Scientific Leadership
Are you a passionate Computational Chemist looking to make a significant impact in the field of drug discovery? A leading biotech organisation in the Cambridge area is seeking a talented individual to join their dynamic team. This role offers the chance to work on cutting-edge projects in a collaborative and innovative environment, where your contributions can directly influence the development of new therapies for neurological disorders and oncology.
KEY DUTIES AND RESPONSIBILITIES:
Your duties as Computational Chemist will be varied; however, the key duties and responsibilities are as follows:
1. Contribute to the development and application of the internal simulation platform, with a particular focus on free energy and related molecular simulation approaches.
2. Develop and apply advanced molecular simulation and free energy methods to guide compound design.
3. Collaborate closely with medicinal chemistry and structural biology teams to integrate computational approaches.
4. Validate novel methods against high-quality experimental datasets.
SKILLS AND EXPERIENCE:
To be successful in your application to this exciting role as Computational Chemist, we are looking to identify the following on your profile and past history:
1. PhD in Computational Chemistry or a related field.
2. Proven industry experience in developing and/or applying modern simulation methods (e.g., FEP/TI) in a drug discovery context.
3. Strong programming and scripting skills, ideally in Python, with an interest in developing robust, scalable workflows.
The organisation offers excellent training and career development opportunities, a highly competitive salary, and a benefits package that includes hybrid working options to promote a flexible and inclusive work environment.
Key Words: Computational Chemist / Molecular Simulation / Drug Discovery / Free Energy Methods / Python / Multidisciplinary Teams / Cambridge / Structural Biology / Medicinal Chemistry / Scientific Leadership