Salary: $74692
Department: Pharmacological Sciences
Physical work location: 1425 Madison Ave
Name PI or Supervisor: Marta Filizola ;
Web link to Lab:
Web link to Department: Contact: Yoori Kim 212-
Details of Research Project:
Dr. Kleimans anticipated research will expand and strengthen the Filizola labs ongoing computational efforts to advance our understanding of membrane protein conformational dynamics and activation kinetics with a particular focus on G proteincoupled receptors (GPCRs) and their therapeutic modulation.
Key responsibilities will include:
(a) Performing enhanced molecular dynamics simulations to investigate GPCR structure dynamics and activation mechanisms integrating AI-enhanced simulation strategies and Markov state models to elucidate kinetic selection processes;
(b) Leading in-depth computational analyses of GPCRs and other membrane proteins to define critical structurefunction relationships;
(c) Contributing to generative modeling and deep-learning efforts aimed at predicting compounds with defined bioactive properties supporting the labs innovation in AI-driven drug discovery;
(d) Developing and implementing novel computational methodologies that advance the labs scientific objectives and inform experimental design;
(e) Rigorously analyzing and interpreting complex datasets to generate mechanistic insights into receptor signaling and activation;
(f) Preparing preliminary data for grant applications and contributing to the drafting of manuscripts for publication in high-impact scientific journals; and
(g) Working collaboratively within the research team mentoring graduate students and fostering an inclusive supportive research environment that promotes intellectual growth and collaboration.
Technical Duties: (include any protocols)
Molecular dynamics simulations Machine Learning Algorithm Design Protein Structure Prediction Protein Language Models & Conformational Ensemble Prediction Cheminformatics HPC & Cloud Scaling Parallel computation.
Educational and other Requirements for the position:
PhD in Chemistry Biophysics Computational Biology machine learning or related discipline.
Experience Required:
PhD-level research training.
Goals/Outcomes of the Research Project:
Generation of new scientific knowledge and publications in high-impact peer-reviewed journals.
Compensation Statement
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $74692.00 - $80000.00 Annually. Actual salaries depend on a variety of factors including experience education and operational need. The salary range or contractual rate listed does not include bonuses/incentive differential pay or other forms of compensation or benefits.
858 - Pharmacological Sciences - ISM Icahn School of Medicine
Strength through Unity and Inclusion The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai’s unparalleled ... View more