Ph.d StudentResearcher Stipend

About the role

We are seeking highly qualified Ph.D. students to work under the supervision of Dr. Ignacio Lugones to contribute to the advancement of research and therapies for the treatment of Epilepsy.

Responsibilities

• Identification of potential pathogenic variants causing epilepsy
• Molecular modeling of the wild type and mutant forms of the ion channel using bioinformatics tools like Homology Modeling
• Validation of these models for functions such as ion conductance or ion influx through Molecular Dynamic Simulation
• High-throughput in silico virtual screening of drug molecules (ion channel modulators) from a drug bank database on these validated models using Molecular Docking Studies with BIOVIA platform
• Evaluation of lead targets based on binding affinity and docking scores through Molecular Dynamic Simulation to test their effect on the function of the ion channel
• Potential repurposed drugs to be validated experimentally to continue the work established in the drug development for treating epilepsy via this approach

Requirements

• Enrollment in a Ph.D. program with strong understanding of the literature in pharmacogenetics
• Strong technical expertise in Molecular Dynamics simulation (Discovery Studio)
• Demonstrated working knowledge and preliminary simulation results supporting the goals of the project
• Ability to conduct independent research and work collaboratively with the research advisor and CoE Research Scientists

Qualifications

• Strong technical expertise in Molecular Dynamics simulation (Discovery Studio)
• Demonstrated working knowledge and preliminary simulation results supporting the goals of the project
• Ability to conduct independent research and work collaboratively with the research advisor and CoE Research Scientists

Skills

• Strong technical expertise in Molecular Dynamics simulation (Discovery Studio)
• Demonstrated working knowledge and preliminary simulation results supporting the goals of the project
• Ability to conduct independent research and work collaboratively with the research advisor and CoE Research Scientists

Benefits

• Collaboration with Dassault Systèmes Center of Excellence in Life Sciences
• Leveraging advanced computational methods, AI, and in-silico modeling
• Access to state-of-the-art simulation and high-performance computing laboratory equipped with Dassault Systèmes' 3D, augmented reality, and virtual reality software
• Support for experiential research, education, and training in various fields, including AI, robotics, cybersecurity, data analytics, and drug discovery

Pay

• Competitive salary commensurate with experience

Schedule

• Full-time position

Application

Please submit a cover letter, CV, and a list of three references along with your application.

Long Island University (LIU) Center of Excellence with Dassault Systèmes

Long Island University (LIU) hosts a leading Dassault Systèmes Center of Excellence (CoE) in Life Sciences. Through our collaboration with Dassault Systèmes, we are spearheading the digital transformation of life science, education, and clinical practice by leveraging advanced computational methods, AI, and in-silico modeling.

About LIU Brooklyn

LIU Brooklyn campus enables students to realize their full potential as ethically grounded, intellectually vigorous, and socially responsible global citizens. The campus offers more professional programs in health care than any other campus in the New York metropolitan area, including the Arnold and Marie Schwartz College of Pharmacy & Health Science, and The Harriet Rothkopf Heilbrunn School of Nursing. LIU Brooklyn is home to Kumble Theater for the Performing Arts, a dynamic performance venue designed to nourish students’ artistic exploration, and Division I sports teams.

Equal Opportunity Employer

LIU is an equal opportunity employer. LIU is committed to extending equal opportunity in employment to all qualified candidates who can contribute to the diversity and excellence of our academic community. LIU encourages applications from all qualified individuals without regard to race, color, religion, genetic information, sexual orientation, gender and/or gender identity or expression, marital or parental status, national origin, ethnicity, citizenship status, veteran or military status, age, disability or any other basis protected by applicable local, state or federal laws. Hiring is contingent on eligibility to work in the United States.