Computational Chemist (Senior Scientist I / Senior Scientist II)

OMass Therapeutics; Oxford; Hybrid; GBP 35,000 - 75,000; Full time

Job description

Job type: Full-time

Location: Oxford, with hybrid working options available

Salary: Competitive salary

Right to work: Sponsorship Available

Application deadline: 13th May 2025

Application submission: CV and cover letter via our website www.omass.com/working-here/

OMass Therapeutics is a biotechnology company based in Oxford discovering medicines against highly-validated target ecosystems, such as membrane proteins or intracellular complexes. The company’s unique OdyssION technology platform comprises novel biochemistry techniques, next-generation native mass spectrometry, and custom chemistry. OMass is advancing a pipeline of small molecule therapeutics in rare diseases and immunological conditions, that target solute carriers, complex-bound proteins, and GPCRs.

We are seeking a Computational Chemist. You will be part of a dynamic and innovative environment and will become an integral part of our vision to address patients’ unmet needs while building Britain’s Biggest Biotech. You will use your computational chemistry expertise and scientific curiosity to solve drug discovery challenges, as part of multi-disciplinary project teams. You will be able to work in state-of-the-art laboratory and modern facilities for optimum collaboration alongside a focused and caring team.

You will already possess expert Computational Chemistry knowledge with experience across all stages of a small-molecule drug discovery from hit ID through to candidate nomination. The role is based in our Oxford site however we are currently working a hybrid model with the option to work from home for part of the week.

Essential Experience, Skills and Qualities

• A degree or PhD in chemistry, computational chemistry, cheminformatics or related discipline or equivalent
• Expert level experience with a wide range of leading computational tools and approaches including ligand and structure-based techniques, molecular dynamics, free energy perturbation methods and QSAR predictions/model development and deployment
• Expert knowledge with scripting languages (e.g. Python) is required
• Responsible and focused approach to independent and collaborative work, with the ability to prioritise and deliver high quality work to deadlines
• Innovative and ambitious mindset, with an inquisitive and agile approach to problem-solving and overcoming technical challenges; motivated to continuously learn and take on challenges
• Caring and inclusive; respectful and receptive to others’ diverse ideas, experience and perspectives, and enjoys working collaboratively with others as a team
• Excellent communication skills, both written and verbal

Preferred Experience and Skills

• Relevant experience in a biotech, pharma or CRO setting
• Familiarity with Schrodinger software suites in addition to a sound knowledge of chemical toolkits is preferred
• Experience of chemical and biological data management systems, such as Dotmatics
• Database administration, curation and interrogation
• Proficient in scientific programming language (e.g. Python, Java, C or C++)
• Experience with machine/deep learning model development and deployment
• An appreciation of relevant scientific disciplines that are related to drug discovery and early development such as target validation, pharmacology, SBDD, LBDD, ADME, structural biology and drug safety/toxicology

Role Responsibilities

• Promote and maintain the highest levels of scientific excellence in computational chemistry, to help deliver OMass’ pipeline objectives
• Contribute to drug discovery projects by proactively applying computational chemistry techniques to drive programs forward
• Utilize computational methods to design and generate small molecules targeting specific therapeutic goals, prioritizing drug-target affinity and selectivity
• Developing and implementing tools and processes to interrogate data for the purposes of understanding biological, chemical, pharmacological and ADMET data within the context of a drug discovery program
• Publish science in high quality journals and publications
• Presenting on OMass’ projects both at internal meetings and externally at conferences
• Share information openly and work collaboratively with other departments to help advance different projects and achieve company goals
• Promote and adhere to OMass’ values of being Ambitious, Responsible, Innovative, Focused, Caring and Collaborative

OMass offers an excellent benefits package including:

• 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 offering 6% employer contribution
• Learning and Development Opportunities
• Company social events

Any queries relating to the role can be sent to [e-mail]

OMass Therapeutics values diversity and is committed to equality of opportunity, we also have full responsibility to ensure that all employees are eligible to work and live in the UK.