Postdoctoral Researcher in software development for crosslinking-based stabilization of proteins:...

As a Postdoctoral Researcher, you will play a leading role in the development of software for computational design of chemical cross-linking strategies that aim for stabilization of protein 3D structures for for biotechnological and biomedical applications. In particular, you will be involved in the development of new software, optimization of existing software, in the design and optimization of computational workflows. The goal of your work will be to develop and test software for the development of improved protein variants that have real-life application in biotechnology.

The position in the INCYPROnext project is ideal for you if you have solid experience both in software development (in particular in C/C++) and in macromolecular modeling (in particular Monte Carlo and/or Molecular Dynamics simulations), and if you wish to learn new techniques of integrative structural biology, including the application of chemical cross-linking to control macromolecular dynamics and stability of 3D structures in adverse conditions. You must be an experienced programmer and modeler by the time you start the project so that you can read and modify existing advanced code under the supervision of other programmers who have experience with this code. This position is not intended for beginners who want to get started in software development or macromolecular modeling, but for experienced programmers and modelers who are motivated to develop their skills in the context of collaboration between academia and industry. We encourage applications from candidates with at least a few years of postdoctoral experience and with extensive experience in both structural bioinformatics software development and molecular simulation with macromolecules and distance constraints.

We require:

• Ph.D. in any area relevant to the project (e.g., structural biology, physics, biology, chemistry, etc.)

• Strong publication record, including at least one first-author publication in a very good journal

• Documented experience in molecular simulations

• Documented experience in programming: C/C++ is a must, Python is highly advantageous

• Experience in structural bioinformatics is not essential, but will be a strong advantage

• Experience in machine learning is not essential, but will be a strong advantage

• Expertise and competence in designing and carrying out computational analyses of complex datasets and in interpreting their results

• Experience in writing manuscripts for publication, and fellowship or grant proposals

• Vision of your professional growth within ~3-5 years, including the capacity to apply for fellowship/grant funding within the first year of your employment, with projects that synergize the core strengths of the team with your own ideas

• Proactive approach to achieving objectives, good interpersonal skills, collaborative and adaptive attitude

• Very good organizational skills, especially project and time management skills

• Very good command of English (written and oral communication) and presentation skills