Work as Research IDS Computational Chemist at Lilly

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( Lilly_Recruiting_Compliance@lists.lilly.com ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response. Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

Post : Research IDS Computational Chemist

Job Description
Job Scope/ Purpose : To involve, execute and be a lead in the area of molecular design and modelling supporting for small molecule drug discovery.

Key Responsibilities
• Collaborate with colleagues in medicinal chemistry for providing scientific knowledge obtained through molecular modeling, supporting preclinical drug discovery.
• Deliver modeling results in computational chemistry
• Write and maintain records of observations and conclusions for every experiment in timely manner. Communicate experimental results and provide routine updates
• Conducting literature searches for the target, structures related to the target and any other relevant or key information.
• Writing scientific procedures, presentation of research summaries at project meeting.
• To work in inter-disciplinary team of integrated drug discovery.
• Develop computational hypothesis using molecular modeling tools for small molecule and or large (macro molecules, peptides etc.
• Working closely with medicinal chemist / biologist to support designs of molecules (small and large) using computational models.
• Preparing and submitting reports in the relevant format, design sessions to the team.

Candidate Profile
• Masters Degree in Chemistry/M.Pharm/PhD degree in computational chemistry /Organic chemistry/ Pharmacy / biotechnology / life science field with experience in computational techniques for drug discovery. Additional certification or knowledge in Linux, Unix or programming would be advantageous
• Good understanding of computational techniques relevant to drug discovery
• Familiarity with modeling tools such as Schrodinger (LiveDesign/Maestro/Bioluminate/Maerial Science) / MOE / Molecular dynamics tools / Quantum Mechanics / KNIME / Pipeline Pilot Tools/ Signals Lead Discovery
• Thorough with computational techniques relevant to small molecule or large (Peptide / protein engineering / antibody) molecule drug discovery
• Virtual screening, Structure based design, Ligand based drug / material design
• Molecular dynamics and Quantum chemistry is highly desirable
• Shape and electrostatic comparison, homology modeling, docking, pharmacophore modeling, Cheminformatics approaches
• Expert knowledge of open-source software for molecular dynamics simulations
• Working knowledge of python
• Experience implementing molecular simulations in a GPU hardware environment
• Must be detail oriented, well organized with ability to analyze and communicate data effectively
• Generate and maintain chemical libraries, perform statistical analysis of screening results and build SAR models
• Play a major role in lead identification, optimisation, scaffold hopping and fragment linking
• 1-8 year/s experience in drug discovery / Medicinal chemistry
• Interest to acquire knowledge and apply innovative techniques to advance the medicinal chemistry project
• Handling of network cores in Linux, GPU systems and scientific programming
• Ability to work in multi-disciplinary team with excellent inter-personal skills

Additional Information
Experience : 1-8 year
Qualification : Masters Degree in Chemistry/M.Pharm/PhD
Location : Bengaluru
Industry Type : Pharma/ Healthcare/ Clinical research
End Date : 25th November, 2021