Senior Cheminformatics Scientist
2 weeks ago
Position Overview:
We are looking for an experienced and driven Senior Cheminformatics Scientist to join our innovative research team.
The ideal candidate will be instrumental in utilizing computational techniques and data analysis to enhance our drug discovery initiatives.
As a vital contributor to our organization, the Senior Scientist will work closely with interdisciplinary teams to develop and execute cheminformatics methodologies that expedite the discovery and refinement of promising drug candidates.
Key Responsibilities:
Cheminformatics Leadership:
Formulate and execute cutting-edge cheminformatics strategies to facilitate drug discovery from target identification to lead optimization.
Data Interpretation and Modeling:
Employ computational tools to scrutinize chemical and biological datasets, derive significant insights, and create predictive models to inform strategic decisions.
Management of Compound Libraries:
Supervise the curation, annotation, and upkeep of compound libraries, ensuring data accuracy and availability for research purposes.
Structure-Activity Relationship (SAR) Analysis:
Perform SAR analyses to clarify the connections between chemical structures and biological activities, guiding the creation of novel compounds with desired therapeutic effects.
Virtual Screening and Candidate Identification:
Implement virtual screening techniques and molecular docking simulations to discover potential drug candidates from extensive compound libraries and virtual chemical spaces.
Collaborative Research Efforts:
Partner with medicinal chemists, biologists, and other team members to design targeted compound libraries, prioritize screening compounds, and enhance lead series.
Industry Awareness:
Stay informed about emerging trends, technologies, and methodologies in cheminformatics and computational chemistry, integrating relevant advancements into our drug discovery processes.
Documentation and Communication:
Prepare and present scientific reports, contribute to patent submissions, and effectively communicate findings and insights to both internal stakeholders and external collaborators.
Qualifications:
Ph.
D.
in Chemistry, Computational Chemistry, Cheminformatics, or a related discipline with a minimum of 5 years of industry experience, or a Master's degree with at least 8 years of relevant experience.
Demonstrated expertise in cheminformatics, including proficiency in molecular modeling, QSAR/QSPR, ligand-based and structure-based drug design, cheminformatics databases, and molecular dynamics simulations.
Proficient in programming languages commonly utilized in cheminformatics, such as Python, R, or Java, along with experience using relevant software packages (e.g., Schrödinger Suite, RDKit, Pipeline Pilot, KNIME). A proven track record of applying computational methods to advance drug discovery projects, supported by publications, patents, or successful project contributions.
Exceptional analytical and problem-solving abilities, with the capacity to work both independently and collaboratively in a fast-paced, multidisciplinary environment.Strong communication and interpersonal skills, with the capability to present complex scientific concepts to diverse audiences.
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