Research Fellow - School of Biosciences - 107914 - Grade 7

This fixed-term Research Fellow position in Computational Structural Biology involves using advanced computational methods, particularly molecular dynamics simulations, to investigate the structure, dynamics, and mechanisms of membrane proteins, protein-ligand complexes, and other macromolecular assemblies. Key responsibilities include analyzing computational and experimental data to understand biomolecular functions, developing novel computational approaches, and contributing to research funding bids. Applicants need a PhD and strong experience in molecular dynamics simulations, enhanced-sampling methodologies, and data analysis, with an ability to integrate computational and experimental findings.

• The responsibilities may include some but not all of the responsibilities outlined below.
• Contribute to writing bids for research funding
• Apply knowledge in a way which develops new intellectual understanding
• Contribute to developing new models, techniques and methods
• Undertake management/administration arising from research
• Contribute to enterprise, business development and/or public engagement activities of manifest benefit to the College and the University, often under supervision of a project leader
• Deal with problems that may affect the achievement of research objectives and deadlines
• Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline
• Develop research objectives and proposals for own or joint research, in the area of interest of the hosting laboratory (Prof T Carlomagno) in Computational Structural Biology
• Generate, analyse and interpret computational data to explain biomolecular mechanisms in conjunction with the available structural biology, biochemical and biophysical data
• Apply advanced molecular dynamics techniques to investigate membrane proteins, protein-ligand complexes and macromolecular assemblies
• Integrate computational models with available experimental structural and biochemical data
• this may be through a variety of research methods, such as scientific experimentation and literature reviews
• Develop new computational approaches, workflows and methodologies where appropriate
• Disseminate and present research findings through seminars, conferences, posters, and academic publications, including drafting manuscripts and related scholarly outputs
• Contribute to Departmental/Institute research-related activities and research-related administration
• Promote equality and values diversity, acting as a role model and fostering an inclusive working culture.
• succeed. We are also committed to sustainability, which is a key part of our strategy. You can find out more about our work to create a fairer university for everyone

• Ability to assess resource requirements and use resources effectively.
• Understanding of and ability to contribute to broader management/administration processes
• Knowledge of the protected characteristics of the Equality Act 2010, and how to actively ensure in day-to-day activity in own area that those with protected characteristics are treated equally and fairly.
• PhD (or near completion of a PhD) in Computational Structural Biology, Biophysics, Structural Biology, Computational Chemistry, Biochemistry, Physics, or a related discipline
• Proficiency in computational studies of biomolecular systems
• Expertise in the structural and functional investigation of membrane proteins and/or protein-ligand complexes
• Experience with molecular modelling, structural analysis, computational biophysics, or related computational methodologies
• Experience in integrating computational approaches with experimental structural biology data
• Practical experience in a biochemical laboratory and/or handling nucleic acids is desirable
• Demonstrated ability to develop and apply new computational methods, models, techniques, or research approaches
• Strong quantitative, analytical, and problem-solving skills
• Ability to analyse and interpret complex structural and biophysical information clearly through both written and oral communication
• Experience in scientific writing and publication in peer-reviewed journals
• Ability to work independently and collaborate effectively with multidisciplinary teams in an international research environment, ensuring the efficient coordination of activities and avoiding conflict or duplication of effort
• Understanding of, and ability to contribute to, the planning, organisation, management, and administration of broader research programmes, as well as specific research projects
• Willingness to work in a competitive, international environment
• Informal enquiries to Teresa Carlomagno, email: t.carlomagno@bham.ac.uk