Supervisory Scientific Data Analyst
📍 Onsite | Bethesda, MD (NIH Campus)
🕒 Part-Time | 30 hours/week | Monday–Friday
We’re seeking a highly accomplished scientific leader in data analytics and genomics to join our team in Bethesda, MD. This role is 100% onsite and offers a unique opportunity to work at the intersection of neuroscience, genetics, and cutting-edge data science.
What You’ll Do
As a Supervisory Scientific Data Analyst , you will:
Who You Are
Minimum Requirements
✅ PhD in Data Science, Bioinformatics, Computational Biology, Biostatistics, or a related field
✅ 10+ years of experience in genome-related data analytics and scientific data management
✅ 100+ peer-reviewed publications, focused on statistical methods in neurogenetics
✅ H-index of 100 or more (Google Scholar)
✅ Expertise in R, Python, or other statistical programming languages
✅ Familiar with large-scale genomic data tools (e.g., GATK, PLINK, GTEx, dbGaP)
✅ Strong track record of leadership, mentorship, and cross-functional collaboration
Preferred
⭐ Experience within NIH or a comparable research institution
⭐ Familiarity with neurogenetic disease models and clinical-genomic integration
⭐ Project management or supervisory experience in a scientific setting
Why Join Us
Work side-by-side with leading researchers at one of the world’s foremost medical research institutions. Your work will directly support critical breakthroughs in understanding and treating neurogenetic disorders.
💡 Apply now or message us directly if you're a leader in scientific data analytics ready to make a major impact in neuroscience and genomics.
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