Lead Chemoinformatics Scientist for Drug Discovery (Hybrid)

OMass Therapeutics; Oxford; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A UK biotechnology company is looking for an experienced Chemoinformatician to join its team in Oxford with hybrid working options. The successful candidate will leverage extensive computational chemistry expertise to tackle drug discovery challenges and contribute to ambitious projects. Key qualifications include a PhD in Chemoinformatics, extensive experience in drug discovery processes, and proficiency in cheminformatics methods and scripting languages. The company offers an attractive benefits package and values collaboration and scientific excellence.

Benefits

Private Health Insurance

Health and wellbeing cashback scheme

Life Assurance and Income Protection

Participation in Employee Equity Scheme

25 days annual leave plus bank holidays

Pension Scheme with 6% employer contribution

Learning and Development Opportunities

Company social events

Qualifications

• PhD or equivalent in Chemoinformatics, Computational Chemistry, or related field.
• Detailed knowledge of chemoinformatics methods and their applications.
• Extensive experience in drug discovery processes.

Responsibilities

• Lead chemoinformatics and computational modeling projects.
• Develop cheminformatics capabilities and strategies.
• Publish findings and present at conferences.

Skills

Computational Chemistry knowledge

Scripting languages (e.g., Python)

Machine learning techniques

Expertise in cheminformatics methods

Excellent communication skills

Education

PhD in Chemoinformatics or related field

Tools

RDKit

Schrodinger software

Job description

A UK biotechnology company is looking for an experienced Chemoinformatician to join its team in Oxford with hybrid working options. The successful candidate will leverage extensive computational chemistry expertise to tackle drug discovery challenges and contribute to ambitious projects. Key qualifications include a PhD in Chemoinformatics, extensive experience in drug discovery processes, and proficiency in cheminformatics methods and scripting languages. The company offers an attractive benefits package and values collaboration and scientific excellence.