Childhood Cancer Data Jobs

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Data Scientist

Alex’s Lemonade Stand Foundation Remote 🌍 Remote

Remote

Today

$90k - $121k/yr Full time Python Bioinformatics Childhood Cancer

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Job Description

The Alex’s Lemonade Stand Foundation partners with the Childhood Cancer Data Lab to advance data-intensive work in pediatric cancer biology. In this Data Scientist role, you will act as a point person within the Data Lab, helping shape biological problem-solving while improving data-processing and user-guided analysis systems for large-scale multi-omic datasets.

You will collaborate on analyses that clarify pathways toward better treatments and strengthen Data Lab offerings, spanning multiple data modalities and contributing maintainable code, documentation, and instructional materials. The role also includes representing the Foundation and the Data Lab at national conferences.

Key Responsibilities

Collaborate with the Data Lab Data Science Manager to guide the biological challenges addressed by the Lab and/or strengthen Data Lab training efforts
Perform and summarize analyses aimed at uncovering new paths to treatment for childhood cancers, and enhance Data Lab offerings in partnership with internal teams and external collaborators
Integrate and harmonize multiple data modalities (including transcriptomic, genomic, epigenomic, proteomic, and imaging data) to answer questions in pediatric cancer biology
Work with Engineering and Design teams to design systems addressing pressing needs in cancer biology
Write and review clean, maintainable source code, documentation, and instructional material intended for public consumption
Represent ALSF and the Data Lab at national conferences
Support additional duties and special projects as assigned by Foundation needs

Required Qualifications

Education: PhD in Genetics, Genomics, Computer Science, Bioinformatics, or a related field
Data analysis expertise: rigorous analysis of high-dimensional biological data (biological data science)
Programming: expertise in, or ability to transition to, R or Python
Communication: excellent written communication skills
Work authorization: must be authorized to work in the U.S.; no visa sponsorship is available for this role

Preferred Qualifications

Demonstrable contributions to codebases for scientific projects
Evidence of collaborative scientific research through peer-reviewed publications or preprints
Track record in cancer research
Experience with workflow management systems such as Nextflow
Cloud computing experience, such as Amazon Web Services (AWS)
Experience developing or adapting instructional material
Experience writing and reviewing analytical code in a collaborative environment
Broad experience across multiple data modalities; single-cell and/or bulk transcriptomics and integration of additional omics data types are a plus
Interest or experience applying machine learning and statistical methods to biological data

Tools and Technologies

R
Python
Nextflow
Amazon Web Services (AWS)

Work Location and Schedule

Remote role
Candidates must be available to work core hours aligned with Eastern Standard Time (EST)
Candidates located within the greater Philadelphia metropolitan area are preferred

Compensation: USD 90,000 to 121,000 per year.

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