Principal Scientist, Computational Pathobiologist
US026 PA Spring House - 1400 McKean Rd, United States
USD 117K-201K Senior-level Full Time
Tasks
- Apply statistical machine learning and AI to multimodal datasets
- Build analytics visualization and decision focused summaries
- Collaborate on cross functional digital roadmaps
- Create composite measures for safety biomarkers
- Create search interpretation reporting and scientific storytelling tools
- Develop algorithms for drug target prioritization from tissue expression
- Develop data ingestion integration curation standardization and warehousing pipelines
- Drive FAIR data principles implementation
- Enable digital pathology initiatives including whole slide image repositories
- Ensure data quality, governance, and reproducibility
- Ingest CRO pathobiology data near real time
- Interpret and communicate findings through reports and presentations
- Mentor colleagues and drive data and AI literacy
- Serve as technical and scientific leader for data science engineering biostatistics and AI
- Shape digital transformation vision and strategy
Perks/Benefits
- Dental insurance
- Life insurance
- Long-term disability
- Medical insurance
- Parental leave
- Retirement plan
- Short-term disability
- Sick leave
- Vacation time
- Vision insurance
Skills/Tech-stack
AWS | Alphafold | Artificial Intelligence | Azure | Biostatistics | Cloud Computing | Clustering | Dashboarding | Data Engineering | Data Visualization | FAIR-Data | GCP | Generative AI | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Posit Connect | Power BI | Python | R | R Shiny | Random Forests | Regression Modeling | Snowflake | Spotfire | Statistical Analysis | Support Vector Machines | Vector machines
Education
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