BACKGROUND

RESPONSIBILITIES

• Launch CCDL as a startup; assist with development of strategy and a 5-year plan. This will include strategies for cataloging and as necessary gathering data, harmonizing data, and developing a scalable strategy for data storage and access.
• Oversee the building of a team to launch the CCDL. The size of the team will scale in direct proportion to the 5 year plan.
• Assume responsibility for CCDL staff as needed, including recruiting, supervising, mentoring, and personal development.
• Work with ALSF team to design a permanent home for the CCDL.
• Oversee projects performed by computational biologists within the CCDL.
• Partner with major pediatric cancer genomics efforts world-wide to enable access to extant data as well as be aware of prospective projects generating big data.
• Develop new and/or deploy existing pipelines and algorithms to evaluate other experimental data (e.g., drug synergy experiments, chemical screens, CRISPR screens).
• Lead 'omics data mining from providing scientific inputs of experimental design to data analysis, interpretation, and hypothesis generation.
• Develop computational solutions for the identification of novel cancer therapeutic targets.
• Produce high quality scientific reports, presentations and papers.
• Maintain expertise and awareness in state-of-the-art cancer genomics science, computational biology methods, and relevant external genomics data sources.
• Actively seek, evaluate and champion the adoption of new approaches to expand the team's capabilities.
• Innovate, motivate and inspire others in a team-oriented, collaborative environment.
• Provide support for advanced computational tasks in the lab.
• Get to know thought leaders within the childhood cancer community and communicate the plan for CCDL.
• In years 2 and beyond, become intimately aware of the ALSF grants program and opportunities for collaboration. Develop a strategy to prospectively plan for ALSF grant applicants to engage the CCDL as part of their research plan. Develop methods for prospective collaboration.
• As necessary, explore opportunities for active collaboration with major academic or industry partners, especially in the areas of data storage and high performance computing.
• NO grant writing needed - ALSF is investing the resources to make the CCDL a reality!

REQUIREMENTS

• PhD in Computational Biology or related field
• 5 or more years of experience as a computational biologist/ scientist
• Knowledge of cancer biology and/or cancer genomics; experience with pediatric cancer research preferred
• Experience in current methods of bioinformatics; experience developing pipelines for analysis of biologic data highly desirable
• Knowledge of high-performance computing and cloud-computing technologies
• Proficiency with coding in R, Python or other similar languages
• Experience with big data including data summary visualization
• Effective communication skills
• Ability to assign tasks, work independently
• Strong organizational techniques, including the ability to handle a variety of tasks in a fast-paced environment
• Significant experience working in a scientific research setting
• Management experience
• Authorization to work in the US for any employer

LOCALE

COMPENSATION

HOW TO APPLY

DEADLINE