Milestones:
- WES- and RNA-seq sample size estimation, sequence alignment and annotation, statistical differential computation and quality control on public and private NGS Databases, Protein design in Rosetta, genetic algorithms and MCMC via quantum level energy functions
- Development of interactive machine-learning intelligent survival regression models for personalized medicine in big-data clinical trials for Germanys biggest hospital provider
- App-Development for Consumer-Health grad mobile device of ECG and EEG records in collaboration with Charité Berlin implementing chaos theory, stochastic process and time-series analysis, dimensionality reduction and advanced visualization
Personality:
- Problem solving competencies
- Diversity of ideas
- Analytical thinking
- Team- und entrepreneurial spirit
- Passion to create
Tech-Stack:
Data Science
- R
- SAS
- D3.js
- MatLab
- PostgreSQL
App Development
Web Development
Procedural & Regulatory Knowledge:
- International Conference on Harmonization (ICH)
- E3 Structure and Content of Clinical Study Reports
- E6 Good Clinical Practice: Consolidated Guidance
- E9 Statistical Principles of Clinical Trials
- 21 CFR ? Part 11 Electronic Records; Electronic Signatures
- Clinical Data Interchange Standards Consortium (CDISC)
- Study Data Tabulation Model (SDTM)
- Analysis Data Model (ADaM)
- Define-XML (Case Report Tabulation Data Definition Specification)
- CDER Common Data Standards Issues Document
Intership:
2015-012 - 2016-08
Customer: Max-Delbrück-Zentrum für molekulare Medizin Berlin-Buch
Tasks:
- Development of a gene prioritization algorithm for Whole-Exome-Sequencing in Python
2015-10 - 2015-12
Customer: Quantitative Biology Centre Tübingen
Tasks:
- Sample Size Estimation Tool for RNA-seq in R for an HPC-Portal