ALS Data Scientist II - Multiomics & Neurodegeneration

ALS Therapy Development Institute; Watertown (MA); In loco; USD 120.000 - 170.000; Tempo pieno

Vantaggi offerti da questo lavoro

Hybrid work

Health insurance

403(b) retirement plan

Unlimited PTO

Company holidays

Descrizione del lavoro

ALS TDI in Watertown, MA is seeking a Scientist II to co-lead analysis of complex natural history and multiomics data in ALS research. You will guide analytic planning, data integration, and collaboration with cross-functional teams to translate findings into actionable insights.

We value strong data science skills (R/Python), deep biostatistics knowledge, and experience with cloud platforms and reproducible research.

Competenze

• Advanced proficiency in programming languages including R and/or Python along with Linux command line fluency.
• Experience with reproducible research and version control (Git/GitHub).
• PhD or equivalent in data science, bioinformatics, computational biology, or related field.
• Proven track record of 5+ years in biomedical data analysis and interpretation.
• Experience with cloud computing platforms and data sharing regulations.

Mansioni

• Co-lead analytic planning and grant support across the research portfolio.
• Develop and implement data management for clinical and multiomics datasets.
• Lead data harmonization and integration across modalities (genomics, proteomics, etc.).
• Apply statistics and machine learning to identify biomarkers and targets.
• Communicate findings with visuals and reports for diverse audiences.

Conoscenze

R/Python

Linux

Git/GitHub

Data science

Statistical modeling

Machine learning

Neurodegenerative

Communication

Formazione

PhD or equivalent

Strumenti

AWS

GCP

Azure

Descrizione del lavoro

ALS TDI in Watertown, MA is seeking a Scientist II to co-lead analysis of complex natural history and multiomics data in ALS research. You will guide analytic planning, data integration, and collaboration with cross-functional teams to translate findings into actionable insights.

We value strong data science skills (R/Python), deep biostatistics knowledge, and experience with cloud platforms and reproducible research.