- Watertown, Massachusetts, United States
- Hybrid
- Full-time
- 5+ years
Lead analytic planning, data management, and interpretation of complex natural history and multiomics data for ALS research.
Responsibilities
- Co-lead analytic planning and prioritization across the research portfolio
- Contribute to grant applications, progress reports, and other funder deliverables
- Develop and implement robust data management strategies for clinical natural history and multiomics datasets
- Oversee data acquisition, cleaning, curation, and integration from diverse sources
- Collaborate with internal and external stakeholders to facilitate data sharing initiatives
Requirements
- PhD or equivalent advanced degree in data science, bioinformatics, computational biology, or a related field
- Nice to have: integrative genomics
- Nice to have: whole-genome sequencing
- Nice to have: variant calling
- Nice to have: repeat-expansion detection