About the role

Computational Biologist - Molecular Docking Specialist

Job Summary:

We are seeking a highly skilled Computational Biologist specialized in molecular docking modeling to join our innovative research team. This role is pivotal in advancing our drug discovery efforts by utilizing cutting-edge tools and methodologies to analyze enzyme-molecule interactions and small molecule discovery, significantly impacting therapeutic development.

Key Responsibilities:

Utilize advanced molecular docking tools such as Alphafold3 and Boltz2 to model and predict molecular interactions.
Conduct thorough structural analyses using ChimeraX to visualize and interpret molecular docking results.
Collaborate with cross-functional teams to design and optimize small molecules, focusing on GPCR mechanics and odor molecule chemistry.
Analyze and interpret data related to fragrance molecules and their interactions at the biochemical level.
Develop and maintain computational protocols to streamline the drug discovery process.
Provide insights and recommendations based on molecular modeling findings to guide experimental validation.
Stay updated on the latest advancements in computational and structural biology techniques relevant to our research initiatives.

Requirements:

PhD in Computational Biology, Structural Biology, or a related field.
5+ years of experience in molecular docking modeling and computational biology.
Proficiency in using docking software such as Alphafold3, Boltz2, and ChimeraX.
Strong understanding of enzyme-molecule interactions and drug discovery processes.
Excellent programming skills in languages such as Python or R for data analysis and modeling.
Ability to work collaboratively within a multidisciplinary team and communicate complex scientific concepts effectively.
Detail-oriented with strong problem-solving and analytical skills.

Preferred Qualifications:

Experience with high-throughput screening techniques and their integration with computational biology.
Familiarity with odor molecule chemistry and its implications in fragrance and therapeutic applications.
Publications in peer-reviewed journals focusing on molecular docking and drug design.
Knowledge of machine learning applications in computational biology.
Understanding of regulatory pathways associated with drug development.

Benefits:

Competitive salary and performance-based bonuses.
Comprehensive health, dental, and vision insurance.
Flexible work hours and remote work options.
Professional development opportunities and support for attending conferences.
Collaborative and inclusive work environment fostering innovation.
Access to the latest technologies and research tools.
Generous paid time off and holiday policies.

Research Chemist