Research Associate – Network inference from singe cell perturbational data
Cancer Research UK Cambridge Institute, Cambridge
The Markowetz lab at the Cancer Research UK Cambridge Institute is looking for a postdoctoral researcher to work on network inference from single cell perturbational data. This is an opportunity for an ambitious scientist to lead the development of machine learning methods to map signalling pathways from combinatorial CRISPR screens with single-cell RNA-seq readouts in breast and pancreatic cancers, and to closely interact with experimentalists in the lab in an iterative computational-experimental cycle.
The Markowetz lab is a mixed computational/experimental lab with a strong track record in machine learning working on a broad range of topics in cancer genomics and imaging. It offers a supportive and diverse environment (see: Markowetz, ‘You are not working for me, I am working with you’, PLoS Comp Bio 2015) and has been a jumping board for many successful careers in academia, industry, and spin-out companies. Alumni had the independence to build on their projects to become CEOs or faculty at first class institutions.
The Cancer Research UK Cambridge Institute, a joint Institute by Cancer Research UK and the University of Cambridge, is situated in the centre of the Addenbrooke’s Biomedical Campus in Cambridge. As part of the University of Cambridge School of Clinical Medicine, the Institute’s research ranges from basic cancer biology through translational cancer research to clinical application. The Institute currently houses over 350 researchers and support staff with 20 research groups. It provides a highly collaborative, multi-disciplinary environment in cancer research, with state-of-the-art facilities and core scientific resources, and good links with the scientific community of Cambridge.
- The postdoc will work closely together with researchers in the Markowetz lab and local collaborators.
- Investigate research questions and develop specific research project(s) under guidance from Group Leader
- Develop academic independence
- Be proactive in innovation and problem solving, improve established protocols, develop new protocols
- Provide specialist advice, guidance and supervision to colleagues
- Will use version control, container and package management systems, and workflow managers.
- Will work transparently and reproducibly by principles of Open Science
- Will provide technical day to day supervision to PhD students working in the same area
- Share knowledge and expertise for the benefit of others
- Make decision on own work and maybe that of others in the Group
- Receive some supervision, but organise and prioritise own work
- Make a significant contribution to the production of research papers for publication
- Present findings to group members and other internal audiences
- Present research externally at international meetings
- Author papers under guidance from the Group Leader
Fixed-term: The funds for this post are available for 2 years in the first instance.
Once an offer of employment has been accepted, the successful candidate will be required to undergo a security check.
We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.
Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online.
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Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.
Please quote reference SW29583 on your application and in any correspondence about this vacancy.
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