Note: The job is a remote job and is open to candidates in USA. The Children’s Tumor Foundation (CTF) seeks a Biomedical Data Scientist to turn neurofibromatosis data into actionable insights for drug discovery. The role integrates research, clinical, and public data to identify therapeutic opportunities, stewards CTF’s NF data ecosystem, leads an AI-enabled research resource, and shares findings with the research community.
Responsibilities
- NF Data Ecosystem Stewardship: Serve as CTF’s subject matter expert for the NF Data Portal and associated analysis platforms. Work with data vendors and external data partners to track data sharing plans and milestones, identify new data sources, and ensure the quality, integrity, accessibility, and reuse of NF datasets. Manage subscriptions to various platforms
- Data-Driven Target Discovery: Lead integrated analyses of genomic, molecular, clinical, imaging, and publicly available datasets to identify, prioritize, and validate therapeutic targets for NF. Work closely with CTF’s Drug Scout and Preclinical Initiatives teams and with NF researchers to translate findings into therapeutic hypotheses, target recommendations, and opportunities for preclinical validation. Create clear visualizations and summaries that inform CTF’s research recommendations
- AI-Enabled Research: Evaluate and apply emerging AI and computational approaches to accelerate NF data integration and hypothesis generation. Serve as administrator of CTF’s Anthropic (Claude) workspace for the NF community, leading its build-out by surfacing NF datasets, publications, and sample analyses, managing access, and gathering user feedback
- Community Engagement and Dissemination: Represent CTF and collaborate with Key Opinion Leaders to author peer-reviewed publications and present findings at conferences. Implement and manage data science workshops and platform sessions at the NF Conference, contribute to open-source tools and resources for the NF research community, and promote NF data sharing and reuse. Additional duties as required
Skills
- MS in Data Science
- Computational Biology, Bioinformatics, or a related field
- 1-3 years experience in working with public and/or private datasets and large-scale data repositories
- Strong expertise in data management, analysis, and visualization techniques
- Experience implementing Claude Science or comparable AI research platforms, including using AI agents for literature review, data analysis, and reproducible computational workflows
- Demonstrated understanding of, and adherence to, HIPAA regulations and data privacy standards
- Proven track record of scientific publications and presentations
- Familiarity with open-source tool development and collaborative research environments
- Ability to work both independently and within a multidisciplinary team
- Excellent communication skills
- Strong organizational skills are needed, which reflect the ability to manage and prioritize multiple tasks seamlessly with precise attention to detail
- Creative and analytical thinker
- Ph.D
- Experience integrating multi-omic and clinical datasets for therapeutic target identification and prioritization
- Experience applying machine learning, AI, or large language model (LLM) tools to biomedical research questions
- Experience analyzing clinical, real-world, or patient registry data, including patient-reported outcomes
- Familiarity with neurofibromatosis or rare disease research
- R and/or Python, Linux command line, cloud computing
- Bulk and single-cell RNA-seq, WGS/WES, proteomics, and methylation
- Pathway and network analysis, multi-omic integration, and experience with public resources like GEO, TCGA, GTEx, DepMap, ChEMBL, and Open Targets
- Claude Science or other LLM-based platforms, experience with agentic AI like Claude Code
- Ggplot2, matplotlib, Shiny
- Git/GitHub, Docker, Nextflow or Snakemake
- Synapse, which the NF Data Portal is built on, plus FAIR principles, metadata standards, and ontologies
Benefits
- Remote work
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