Who We Are
The Marinelli laboratory at MCW's Department of Biophysics studies the molecular basis of fundamental cellular processes, such as membrane transport, signaling, and morphological changes. This research relies primarily on advanced computer simulation methods, rooted in statistical mechanics and machine-learning, some of which are designed within the laboratory itself. Methodological developments constitute an integral part of the lab research agenda and encompass novel computational approaches to integrate molecular modeling and wet-lab experiments. A hallmark of the lab work, both in understanding mechanisms and developing methods, is its synergistic collaboration with wet-lab researchers. The lab uses this interdisciplinary approach to advance our understanding of the structure, dynamics, and organization of protein and cellular membranes across both molecular and supramolecular scales. Such insights and methodological advancements can accelerate the development of targeted and effective therapies for various diseases.
Purpose
The laboratory seeks a highly motivated Postdoctoral researcher in the area of computational biophysics. The research focus is to study mechanisms and organization of membrane proteins and their interplay with the lipid bilayer dynamics and morphology, particularly within the context of infectious diseases and drug resistance, among other relevant aspects. This work will primarily rely on molecular simulation methods, encompassing both state-of-the-art techniques and newly developed machine-learning approaches. The successful candidate will participate in computational and experimental studies within this research area, analyze data, present findings at scientific meetings and conferences, and prepare manuscripts for peer-reviewed publication.
Postdoctoral candidates are expected to have a doctoral degree in Chemistry, Biochemistry, Biophysics, or closely related field. A strong publication record, comprising one or more first-author articles in peer-reviewed journals, is required. Candidates should have an in-depth knowledge of protein structure and physical chemistry, along with significant training and expertise in molecular simulations or related techniques. Additionally, candidates must have proficiency in Linux-based systems and one or more programming/scripting languages, along with fluency in both spoken and written English. Strong Python programming and problem-solving skills are desirable. Experience in one or more of the following is a plus: deep-learning, force-field development, methodological developments, quantum-mechanical methods, biophysical experimental techniques (NMR, EPR, FRET, cryo-EM, HDX-MS) and biological systems associated with cellular membranes. Outstanding candidates with alternative computational or experimental expertise can be considered, provided they have strong adaptability, motivation and willingness to learn.
State-of-the-art resources are available for high-performance computing.
Primary Functions
- Independently design and perform computer simulations or related modeling technique.
- Document and assess computational results.
- Analyze and interpret computational data.
- Prepare text and graphic results for manuscripts and presentations.
- Present at and participate in scientific meetings held by the laboratory and at conferences.
Qualifications
- PhD degree in Chemistry, Biochemistry, Biophysics, or closely related field.
- Experience in molecular simulations and/or computational modeling.
- Experience with Linux-based high performance computing systems.
- Understanding of general and complex theoretical/computational approaches and scientific methods.
- Ability to work independently to develop and apply research protocols.
View the full postdoctoral fellow job posting & apply
