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- Tasks: Drive drug discovery projects using your computational chemistry expertise in a dynamic team.
- Company: Join OMass Therapeutics, a pioneering biotech company in Oxford.
- Benefits: Enjoy private health insurance, equity participation, and 25 days annual leave.
- Other info: Collaborative environment with excellent learning and development opportunities.
- Why this job: Make a real impact on patients' lives while advancing your career in cutting-edge biotech.
- Qualifications: Ph.D. in cheminformatics/computational chemistry with industry experience in drug discovery.
The predicted salary is between 50000 - 65000 £ per year.
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 OdyssIONâ„¢ technology platform comprises novel biochemistry techniques, next-generation native mass spectrometry and custom formatted compound libraries for ultra-high throughput screening. OMass is advancing a pipeline of small molecule therapeutics in rare diseases and immunological conditions, that target solute carriers, complex-bound proteins, and GPCRs, with biophysical platform technologies at the core of drug discovery.
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 cheminformatics/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 in both Ligand and Structure-Based Design with industry experience in small molecule drug discovery.
RequirementsEssential Experience, Skills and Qualities:
- Ph.D. in cheminformatics/computational chemistry or equivalent industrial experience
- A significant amount of relevant industry experience in small molecule drug discovery across multiple projects from hit finding to candidate selection
- An appreciation of relevant scientific disciplines that are related to drug discovery and early development such as target validation, pharmacology, generative molecular design approaches, SBDD, LBDD, ADME modelling, structural biology and drug safety/toxicology
- Proficiency in scientific scripting for prototyping workflows (e.g., Python, Java, C++), enabling the delivery of project specific outputs such as executing virtual screens
- Proficient with classical machine/deep learning model development
- 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:
- Experience of working across multiple target-types including membrane bound GPCRs & solute carriers and soluble proteins
- Familiarity with Dotmatics and Schrodinger software suites in addition to a sound knowledge of chemical toolkits (e.g. RDKit) is preferred
- Demonstrated ability to critically assess and communicate QSAR/ machine learning model limitations, uncertainty, and suitability for program use
- Experience centred on lead optimisation and later stage project cycles, with the capability to independently lead the computational elements of the design-make-test-analyse (DMTA) cycle
- Experience of working in a matrix team
- 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 cheminformatics and computational chemistry techniques to drive programs forward, providing hands-on program support and scientific partnership to project teams
- Support and upskill project medicinal chemists by delivering training, coaching and practical guidance in computational chemistry approaches, tools and best practices
- Publish science in high quality journals and publications
- Give presentations on OMass' projects both at internal meetings and externally at conferences
- Foster collaborations with academia to help ensure that the team operates at the highest levels of scientific excellence
- 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 . 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.
Computational Chemist (Senior Scientist I/ Senior Scientist II) employer: OMass Therapeutics
Contact Detail:
OMass Therapeutics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Chemist (Senior Scientist I/ Senior Scientist II)
✨Tip Number 1
Network like a pro! Reach out to your connections in the biotech field, especially those who might know someone at OMass. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and being ready to discuss your past projects. We want to see how your experience in computational chemistry can directly contribute to our drug discovery efforts.
✨Tip Number 3
Show us your passion! When you get the chance to speak with us, let your enthusiasm for cheminformatics and drug discovery shine through. We love candidates who are genuinely excited about making a difference.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team at OMass.
We think you need these skills to ace Computational Chemist (Senior Scientist I/ Senior Scientist II)
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your Ph.D. and any relevant industry experience in computational chemistry. We want to see how your skills in ligand and structure-based design can contribute to our drug discovery projects.
Tailor Your Application: Don’t just send a generic CV and cover letter! Tailor your application to reflect the specific requirements of the Computational Chemist role. Mention your experience with cheminformatics and any relevant software tools like Dotmatics or Schrodinger.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your achievements and how they relate to the role. We appreciate good communication skills, so show us what you’ve got!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at OMass!
How to prepare for a job interview at OMass Therapeutics
✨Know Your Stuff
Make sure you brush up on your computational chemistry knowledge, especially in areas like ligand and structure-based design. Be ready to discuss your past projects and how your expertise can contribute to OMass's drug discovery efforts.
✨Show Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles. Highlight your innovative mindset and how you've used cheminformatics techniques to drive projects forward. This will demonstrate your ability to think critically and creatively.
✨Be a Team Player
OMass values collaboration, so be prepared to discuss how you've worked effectively in multi-disciplinary teams. Share experiences where you've supported colleagues or contributed to a positive team environment, showcasing your caring and inclusive approach.
✨Communicate Clearly
Practice articulating complex scientific concepts in a clear and concise manner. Whether it's discussing your experience with machine learning models or presenting your findings, strong communication skills are key. Consider preparing a brief presentation on a relevant project to showcase your abilities.