About ALSF

Biological Data Analyst

Childhood Cancer Data Lab (CCDL)
Powered by Alex’s Lemonade Stand Foundation (ALSF)

CCDL Overview

Located in the Philadelphia area, The Childhood Cancer Data Lab (CCDL) is a new program of Alex's Lemonade Stand Foundation (ALSF). The CCDL builds technologies that enable childhood cancer researchers to enlist big data to advance childhood cancer research. The CCDL is comprised of a team of software developers, data scientists, designers, and others who are driven to build software systems that address these needs. The CCDL aims to produce modular, open source, usable software. Members of the CCDL simultaneously contribute childhood cancer research and to the open source software community.

What is Alex’s Lemonade Stand Foundation?

Alex's Lemonade Stand Foundation (ALSF) emerged from the front yard lemonade stand of 4-year-old Alexandra “Alex” Scott, who was fighting cancer and wanted to raise money to find cures for all children with cancer. Her spirit and determination inspired others to support her cause, and when she passed away at the age of 8, she had raised $1 million. Since then, the Foundation bearing her name has evolved into a national fundraising movement. Today, ALSF is one of the leading funders of pediatric cancer research in the U.S. and Canada having raised more than $150 million so far, funding nearly 1,000 research projects and providing programs to families affected by childhood cancer. For more information, visit AlexsLemonade.org.

About the Position

The CCDL seeks an early-career data scientist to join our growing data science team as a biological data analyst. This person will work with senior data science colleagues to design analyses and will be responsible for to carrying out these analyses of large genomic datasets. The biological data analyst will perform analyses that provide the foundation of solutions that serve a community of dedicated scientists and clinicians, including those who receive grants from ALSF. This data analyst will seek to make sure that analyses that are performed in the CCDL are robust and reliable. This data analyst may, at times, have the opportunity to participate in drafting scientific manuscripts describing work from within the CCDL either as a primary author or as a collaborating author with other groups.

The CCDL position will provide this early-career data scientist with the opportunity to enhance data-processing systems as well as systems that enable the user-guided analysis and interpretation of large-scale datasets. This member of the team will need an understanding of how to perform robust analyses of biological data. Working in the CCDL also provides a unique opportunity to interact with the childhood cancer research community and its supporters at ALSF.


  • Work with more senior data science colleagues to design analyses that address a pressing need in cancer biology.
  • Perform and summarize analyses that seek to reveal new paths to treatment of childhood cancers or enhance CCDL offerings.
  • Communicate findings with collaborators external to the CCDL, most of whom will be experts in childhood cancer.
  • Write clean, maintainable source code.


  • Experience in the collection of activities now coming to be known as “biological data science” including data wrangling, data analysis, and statistical methods.
  • Experience with R or Python. If R, a willingness to become conversant in Python.
  • BS in Genetics, Genomics, Computer Science, Bioinformatics, or related field.


This full-time opportunity offers a competitive salary and benefits package. Interested candidates should submit a CV/resume with cover letter describing your interest and why you would be the right fit for this position to [email protected]