PHUSE-Education

PHUSE is a global community of Clinical Data Scientists.

The diverse membership mainly covers the Pharma & Healthcare Industry, CROs and software vendors at all levels of seniority. We are more than ever competing with other industries especially in recruiting and retaining fresh data science talents.

Education has become a major challenge with our rapidly changing environment in regards to technology and methodology.

Our vision is to create a PHUSE roadmap to education, which covers the broad bandwidth of knowledge a Clinical Data Scientist needs to have to be successful in their job.

HOW

We create 8 to 10 clusters around Clinical Data Sciences Topics.

Each cluster will be moderated by SMEs and contains of:

• Short overview about topic (1-2 pages)
  • Collection of short exercises and tutorials related to topic
  • Exercises and tutorials will be catalogue with
    • internal PHUSE deliverables from PHUSE events and WGs accompanied by external educational links in all materials (articles, books, videos, podcasts)
    • Tutorials could be done using Jupyter notebooks in R or Python, which allow submission of codes inside a notebook without having R or Python installed on a machine
  • Cover hot industry topics in PHUSE blog
    • Eg. Book reviews, ...

Most of this already exists in PHUSE archives or working group deliveries such as in Educating for the Future:Data Engineering and Data Science work and Emergent Trends

Input

Existing PHUSE knowledge repository, which includes: conference papers and presentations

• SDE presentations
• Working Group Deliverables
• PHUSE Code repository
• other PHUSE projects and initiatives

Output

Classes and subclasses of educational topics, for example:

• Programming Languages
  • SAS
  • R
  • Python
  • Julia
  • ...
• Regulatory Environment
  • FDA
  • PMDA
  • EMA
  • CFDA
  • Submission Packages
  • ...
• Clinical Documents
  • Protocol
  • Study Report
  • CRF
  • ...
• Industry Standards
  • CDISC
  • MedDRA
  • WHODrug
  • HL7
  • ICH
  • ...
• Drug Development
  • Ph I-IV
  • NIS*
  • Obs
  • ISS
  • ISE
  • Pharmacology
  • From study planning to analysis
  • Risk Based Monitoring
  • End-to-End data flow
• Technology & Applications
  • Statistical Analysis
    • SAS
    • Tableau
    • Spotfire
    • ...
  • Databases
  • eCRF
    • Rave
    • Inform
    • MDRs
  • Pinnacle21
• Therapeutic Areas
  • Autoimmune
  • CV
  • ....
• Job Skills
  • PMgt
  • Leadership & Management
  • Agile Development
  • Dev&Val
  • MS Office
  • ...
• Data Engineering
  • Relational Databases
  • Graph Databases
  • Deployment and Automatization
  • FAIR
  • ...
• Data Science
  • Statistics&Analytics
    • Sample Size
    • Missing Data
    • Repeated Measurements
    • Quantitative Analytics
    • Advanced Analytics
    • ...
  • Visualisation
  • Story Telling
  • ...