My client is not your typical pharmaceutical company. They are a blend of cutting-edge computational technologies with life sciences to create safer and more effective therapeutics that defy traditional drug discovery methods. Their team comprises curious, multidisciplinary professionals who are passionate about making a meaningful impact in Life Sciences.
As a Scientist in Computational Chemistry, you will:
- Collaborate closely with project teams to contribute scientifically and strategically to the development of clinical candidates.
- Develop and implement computational strategies to identify and optimize lead-like molecules targeting various cellular pathways and mechanisms.
- Work in tandem with medicinal chemists and biologists to design innovative small molecules and enhance their efficacy, safety, and drug-like properties through computational techniques.
- Pioneer new computational approaches to explore unique chemistry spaces.
- Conduct research to advance computational chemistry tools and methods aligned with the company’s mission.
- Effectively communicate computational results and analyses to project team members and stakeholders.
- Collaborate closely with the MedChem group to provide proactive inputs related to hit finding and hit-to-lead optimization.
- A Master's or Ph.D. degree in Chemistry, Biochemistry, Computational Chemistry, Chemical Engineering, or a related field.
- A minimum of 2 years of industry experience in small molecule drug discovery.
- A strong passion for drug discovery and a solid grasp of medicinal chemistry concepts.
- Proficiency in implementing computational strategies across all stages of drug discovery.
- Practical experience with computational chemistry software (e.g., Schrodinger, ICM Molsoft, OpenEye, CCG, etc.).
- Expertise in one or more of the following: docking studies, virtual screening, druggability analysis, structure-based design, free energy perturbation, and molecular dynamics simulation.
- Exceptional communication and interpersonal skills to thrive in a dynamic, multidisciplinary team.
- Hands-on experience with advanced MD/FEP simulation methods for protein-small molecule complexes.
- Basic programming skills (Python, Jupyter notebook, bash).
- A demonstrated ability to innovate within strong multidisciplinary project teams and collaborate effectively with internal and external partners.