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Lead Cancer Researcher
2 months ago
We are seeking a highly motivated and innovative Lead Cancer Researcher to spearhead cancer research efforts and facilitate the coordination of large collaborative scientific initiatives.
Key Responsibilities- Lead a team of researchers and trainees in unraveling mechanisms of different cancers.
- Provide scientific oversight, including review and advice on study design, modeling, data analysis and validation, team management, and suggesting new approaches.
- Launch new projects and provide strategic planning to our cancer grant portfolio.
- Track progress toward project goals, facilitate coordination among participating partners, evaluate project data and results, and report project status to leadership.
- Identify new funding opportunities, coordinate submission of new project proposals and preparation of manuscripts.
- Interface with stakeholders in academia and industry as well as funders.
The Quantitative Biosciences Institute (QBI) at the University of California, San Francisco, is a highly dynamic and collaborative institute, applying disease-agnostic technology to unravel the molecular networks underpinning cancer using systems biology approaches.
Our current cancer projects aim to unravel mechanisms of breast, head and neck, and lung cancer. Our projects leverage a wide array of experimental approaches with a collaborative infrastructure necessary for long-term investigation.
Requirements- PhD and post-graduate in cancer biology, cancer system biology or related field at the time of hire.
- Demonstrated high productivity and successful publishing record.
- Demonstrated experience as a research project lead.
- Experience managing collaborative projects among multiple laboratories.
- Experience writing research proposals and peer-reviewed manuscripts for publication.
- Experience designing and executing molecular biology and cell-based assays.
- Principal investigator for a grant.
- History of potential to develop a sustained source of research funding.
- Existing extramurally funded research program.
- Understanding of large-scale proteomics data and placing it in a biological context.
- Experience in handling large-scale data.
- Experience managing direct research budgets.
- Experience teaching, mentoring, and advising students and trainees.
