Biomedical researchers are increasingly encouraged to work in interdisciplinary teams, however, this comes with challenges. Unfamiliar terminology or differences in interdisciplinary working practices can often lead to misunderstandings which hinder these collaborations and develop into tensions. In addition, post-doctoral researchers often feel the additional pressure of establishing themselves as independent researchers in a competitive field, which can lead to feelings of isolation.
For computational researchers, this isolation can be felt particularly keenly if they are the only computational researcher in their group, which is commonly the case. In contrast to traditional mentoring, peer mentoring connects those at a similar career stage, which helps to provide an open and non-judgemental space. Moreover, peer mentoring can be an opportunity for researchers to build communities and networks with those who they might otherwise find it difficult to connect with. This can be of particular benefit for those at post-doctoral stage looking to identify future collaborators.
Aims:
Understand more about who ‘biomedical data scientists’ are
Identify initiatives and actions that have:
Made data scientists feel supported and valued in biomedicine
Helped the integration of data scientists into the biomedical community
Supported the inclusion and career progression of those with computational, mathematical,statistical skills in UK biomedical research.
Gather information to shape future career development initiatives for those working in biomedical data science.
Scheme Outline
Scheme Materials