The successful candidate must have a PhD in pharmaceutical or medical sciences, biology, chemistry, engineering, or a related area, by the time of appointment and a minimum of 1 year of postdoctoral experience, or equivalent (e.g. related professional experience in industry, government, etc.), in an area of research related to drug discovery or drug/diagnostics development that will build on the strengths of the Faculty.

We are seeking a creative, self-motivated computational chemist with exceptional interpersonal and problem-solving skills to join the Computational and Structural Chemistry (CSC) department in Boston, MA, US.

Brookhaven National Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure the nations future.Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries 37 R&D 100 Awards and more than 70 years of pioneering research.

We are seeking a new colleague to join our Bioscience Department lecturing in Physical and Computational Chemistry and related topics in chemistry. Working as part of a dynamic team, you will teach and develop our modules, contribute to the design and delivery of our existing and new undergraduate and postgraduate programmes.

The Postdoctoral Fellow will primarily aim to develop advanced methodologies and innovative computational approaches combining physics-based, statistical and AI/ML approaches to (a) identify ligandable cryptic pockets and (b) predict allosteric sites. They will utilize the identified sites for ongoing drug discovery projects, for instance applying ultra-high throughput virtual screening or comparisons with other binding sites across the proteome for hit identification. Furthermore, they will be responsible for publishing their results, targeting high-impact journals.

The Computational Soft Matter Lab (CSM), at the Faculty of Science of the University of Amsterdam (UvA), is seeking a new computational researcher for a tenure track Assistant professorship position. The CSM Lab is a joint initiative of the Physics, Chemistry and Informatics institutes, and part of the larger ‘Soft Matter’ Research priority area, which encompasses world-leading groups on both experiments and theory/computation.

Let’s do this. Let’s change the world. During this program, you will join the Computational and Data Sciences team in Therapeutic Discovery, and work on algorithm development at the interface of machine learning and chemistry.

Each position requires a PhD degree, postdoctoral experience and an exceptional research track record. Each appointment will be made at the rank of Assistant Professor. The successful candidates will be expected to teach undergraduate and graduate classes in chemistry and to develop vigorous and creative research programs with external funding. The anticipated start date is July 2022 or as negotiated.

What You Will Do Candidates will assist in several projects related to new material design and material degradation mechanistic pathways.Candidates will use density functional theory (DFT) methods as well as molecular dynamics (MD) for this work.

This position will hold a “hybrid” role in our company: the successful candidate will help us develop and validate our molecular modelling tools and will transition into a role in which they apply the developed technology towards early stage drug development projects. If successful, the employee will have the opportunity to take on a managing role within the computational chemistry division of the company. The ideal candidate will have experience in the analysis of molecular dynamics, as well as a broad understanding of the field of drug design.

At Bayer were visionaries driven to solve the worlds toughest challenges and striving for a world where Health for all Hunger for none is no longer a dream but a real possibility.Were doing it with energy curiosity and sheer dedication always learning from unique perspectives of those around us expanding our thinking growing our capabilities and redefining impossible.

Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture.Its products and services are designed to benefit people and improve their quality of life.

What You Will Do Candidates will assist in several projects related to new material design and material degradation mechanistic pathways.Candidates will use density functional theory (DFT) methods as well as molecular dynamics (MD) for this work.

Requisition Id6957 Overview: Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.We are seeking a Postdoctoral Research Associate who will support the Advanced Computing for Chemistry and Materials in the National Center for Computational Sciences (NCCS) Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) to perform leading-edge computational chemistry research and development.

Requisition Id6611 Overview: The National Center for Computational Sciences (NCCS) provides state-of-the-art computational and data science infrastructure for technical and scientific professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines.As an important part of the broader High-Performance Computing (HPC) infrastructure the division also hosts the Oak Ridge Leadership Computing Facility (OLCF) a Department of Energy Office of Science User Facility.

Requisition Id6031 Overview: The Computational Chemistry and Nanomaterials Sciences Group at Oak Ridge National Laboratory is seeking a highly motivated scientist to d eliver groundbreaking chemical and materials science at the forefront of the field through the development and use of excited state electronic structure theory methods for high-performance computing (HPC).This group leads and contributes to the development of first-principles electronic structure methods including Quantum Monte Carlo numerical techniques for strongly correlated lattice models and machine learning methods for simulation and experimental data.

Guides and influencestechnicalproject direction and solves significant technical problems by leveraging scientific/engineering skills and strong foundational Data & Modeling Sciences understanding developed through hands-on experimentation/application.Performs Application work and demonstrates implementation skills leveraging knowledge that moves projects forward and also begins to gain exposure to and demonstrate initial proficiency in performing integration work.

What You Will Do We are seeking several highly motivated candidates for postdoctoral appointments to work with Ping Yang Enrique R. Batista and Danny Perez at the Theoretical Division of Los Alamos National Laboratory.The successful candidates will work in a very dynamic multidisciplinary research team.

Job Description The Broad Institute is an amazing place - we exist to apply our deep knowledge of human genetics to empower a revolution in biomedicine and accelerate the pace at which the world conquers disease.The Broad Institutes Center for the Development of Therapeutics (CDoT) and its team of professional drug hunters partner with faculty at MIT Harvard and the Harvard teaching hospitals to translate emerging biological insights into novel therapeutic strategies.

The CUNY ASRC Structural Biology Initiative seeks applications from individuals with experience in software development and computational biology, computer science, biology or chemistry to serve as computational scientists. Several positions are available and the job description and level is dependent on the skills, experience and career goals of the candidates.