Biomedical Data Scientist
About The Position
The Biomedical Data Scientist will drive the Children’s Tumor Foundation’s efforts to turn neurofibromatosis (NF) data into actionable insights for drug discovery. Working with CTF’s Science teams, the role integrates research, clinical, and publicly available data to identify and prioritize therapeutic opportunities across NF1, NF2-related schwannomatosis, and non-NF2-related schwannomatosis. The position also stewards CTF’s NF data ecosystem, leads its AI-enabled research resource for the NF community, and shares data and findings with the broader research community. The role serves as CTF’s subject matter expert for the NF Data Portal and associated analysis platforms, works with data vendors and external partners, and leads integrated data analyses to identify and validate therapeutic targets. It evaluates and applies emerging AI and computational approaches, administers CTF’s Anthropic (Claude) workspace for the NF community, and collaborates with researchers and key opinion leaders on publications, conference presentations, workshops, and open-source resources. This is a remote, full-time, exempt position in the Scientific/Research/Clinical department. It reports to the Director Preclinical Initiatives. Flexible overnight business travel may be required, as well as evening and weekend work as needed. The position requires the ability to lift 25 lbs.
Requirements
- MS in Data Science; a Ph.D. is preferred in Computational Biology, Bioinformatics, or a related field.
- 1–3 years of experience 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 independently and within a multidisciplinary team.
- Excellent communication skills.
- Strong organizational skills, including the ability to manage and prioritize multiple tasks with precise attention to detail.
- Creative and analytical thinking.
- Unimpeachable integrity and trustworthiness, with tact, discretion, and professionalism.
- Ability to maintain effectiveness under pressure.
- Ability to lift 25 lbs.
- Flexibility for overnight business travel and to work evenings and weekends as needed.
Nice To Haves
- Experience integrating multi-omic and clinical datasets for therapeutic target identification and prioritization.
- Experience applying machine learning, AI, or large language model 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.
- Programming experience with R and/or Python, Linux command line, and cloud computing.
- Omics analysis experience with bulk and single-cell RNA-seq, WGS/WES, proteomics, and methylation.
- Experience with pathway and network analysis, multi-omic integration, and public therapeutic target discovery resources such as GEO, TCGA, GTEx, DepMap, ChEMBL, and Open Targets.
- Experience with Claude Science or other LLM-based platforms and agentic AI tools such as Claude Code.
- Experience with data visualization and reporting tools such as ggplot2, matplotlib, and Shiny.
- Experience with reproducible research tools and workflows such as Git/GitHub, Docker, Nextflow, or Snakemake.
- Knowledge of Synapse, FAIR principles, metadata standards, and ontologies.
Responsibilities
- 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.
- Lead integrated analyses of genomic, molecular, clinical, imaging, and publicly available datasets to identify, prioritize, and validate therapeutic targets for NF.
- Collaborate with CTF’s Drug Scout and Preclinical Initiatives teams and NF researchers to translate findings into therapeutic hypotheses, target recommendations, and opportunities for preclinical validation.
- Create visualizations and summaries that inform CTF’s research recommendations.
- Evaluate and apply emerging AI and computational approaches to accelerate NF data integration and hypothesis generation.
- Administer and lead the build-out of CTF’s Anthropic (Claude) workspace for the NF community by surfacing NF datasets, publications, and sample analyses, managing access, and gathering user feedback.
- 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.
- Perform additional duties as required.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
