Associate Professor

[email protected]

Lab Website

Start: 09/05/2023

Salary: Salary commensurate with post-graduate training.

Specialty: Structural bioinformatics and Computational chemistry

Job Type: Postdoctoral Fellow

Qualification: PhD


The Schlessinger Lab at the Icahn School of Medicine at Mount Sinai in New York is seeking a highly motivated Postdoctoral Researcher to join our team in the field of structural bioinformatics and computational chemistry. Our lab focuses on developing and applying advanced computational methods to unravel the molecular mechanisms of proteins and drugs, with the ultimate goal of advancing next-generation therapeutics. We currently have an NIH-funded project centered around studying the structure, function, and drug discovery of membrane transporters.

We are looking for a recent PhD graduate with a strong background in computational chemistry to contribute to our collaborative projects as part of an interdisciplinary team. The ideal candidate should possess excellent analytical skills, be able to work independently, and have experience leading projects to successful completion.

Responsibilities: The successful candidate will be responsible for applying various computational methods to design tool compounds for biomedically important proteins, with a focus on membrane proteins.

Qualifications: PhD in bioinformatics, biophysics, chemistry, physics, computer science, or related field, with a proven record of programming skills. Significant experience and knowledge of computational structural biology, including expertise in structural modeling, molecular docking, or sequence analysis methods. Keen interest in applying quantitative approaches, such as computer-aided drug design, to address biological problems in collaboration with experimental biologists. Strong research background and a track record of publications in simulations of protein/ligand interactions, as well as experience using MD simulation software. Proven expertise in analyzing membrane proteins using computational approaches such as atomistic/coarse-grained simulations and/or machine learning. Fluent programming skills in Python, C++, or Java are essential. Experience with machine learning, deep learning, statistics, R, and SQL would be a bonus. Highly motivated and creative candidates with a strong publication record are strongly encouraged to apply.

Apply: Interested applicants should email the following documents to Dr. Avner Schlessinger: Brief description of research interests and experience – List of 3 references