Principal Scientist, Computational Pathobiologist
US026 PA Spring House - 1400 McKean Rd, United States
USD 117K-201K Senior-level Full Time
Tasks
- Build data visualization and dashboarding tools
- Collaborate on digital roadmaps with cross functional teams
- Create tools for search interpretation reporting and scientific storytelling
- Deploy statistical machine learning and AI for multimodal datasets
- Develop algorithms for candidate drug target prioritization
- Develop algorithms for translational blood and tissue safety biomarkers
- Develop scalable data ingestion integration curation standardization and warehousing
- Drive FAIR data principles
- Enable digital pathology initiatives including LIS support and whole slide image repositories
- Guide solution selection and implementation
- Implement data quality governance and reproducibility
- Ingest CRO pathobiology data in near real time
- Interpret and communicate findings through reports and presentations
- Mentor colleagues in AI and data analytics literacy
- Provide data science and engineering technical leadership
- Shape pathobiology digital transformation strategy
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Alphafold | Artificial Intelligence | Azure | Cloud Computing | Clustering | Dashboarding | Data Engineering | Data Governance | Data Pipelines | Data Quality | Data Visualization | FAIR-Data | GCP | Generative AI | Language Models | Large Language Models | Machine Learning | Metadata Management | Posit Connect | Power BI | Python | R | R Shiny | Random Forest | Regression Modeling | Snowflake | Spotfire | Statistical inference | Statistical modeling | Support Vector Machine
Education
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