Computational Chemist/Biophysicist

ExecMind is a Life Science Executive Search company focused on recruitment of top scientists and management in global biotech and medtech industries.

Computational Chemist/Biophysicist
Location: Poland

Together with innovative biotech company, we are looking for an experienced scientist with strong technical and problem-solving skills in the field of Computational Chemistry/Biophysics.
The successful candidate will be responsible for Structure-Based Drug Design (SBDD), supporting hit expansion, hit-to-lead, lead optimization and molecular docking.

Responsibilities:
• Structure- and ligand-based Drug Design
• Conducting molecular dynamics simulations of relevant biological systems
• Performing protein:small molecule and protein:protein docking
• Virtual screening of molecular databases
• Support of hit-to-lead campaigns and integration of the biological data
• Lead optimization for further ligand refinement
• Use of drug discovery packages, e.g. Schrodinger, OpenEye, MOE or Cresset

Requirements:
• PhD in relevant discipline with minimum of 3 years of experience in academia or industry
• Expertise in molecular modeling techniques, protein docking methods including induced fit docking
• Good knowledge of molecular or structural biology and biophysics
• Experience in application of statistical methods to evaluate properties of studied biological systems
• Ability to learn and implement new modeling techniques
• Good programming skills

We offer:
• Full-time employment in a quickly growing biotechnological enterprise
• Private healthcare plan
• Subsidy to sport activity package
• External and internal trainings in hard and soft skills as well as participation in conferences

Application Instructions: 

Interested Candidates are requested to submit CV by clicking the link below.
https://execmind.elevato.net/en/computational-chemistbiophysicist,ja,109

We would be happy to discuss with you the career opportunities and guide you through the recruitment process.

Application Closing Date: 
31 October 2019