Applied Bioinformatics and Biostatistics

Groupes cibles:

 You have an academic degree in biology, chemistry, medicine, mathematics, physics or computer science. Previous experience in computer science or programming is not necessary. Important are good subj

Connaissances spécialisées:

Requirements: interest in the subject areas of biology and computer science, good English skills, solid basic knowledge in biology and mathematics, enjoying working with IT applications

Connaissances techniques:

Keine besonderen Anforderungen.

Classification de l’Agence pour l’emploi:

• C 1435-15-25 Andere Datenbanksysteme - Datenbankentwicklung, -programmierung und Zertifizierungen
• C 2025-10 Biologie
• C 2025-15 Biotechnologie
• C 1435-15-10 Datenbankentwicklung, -programmierung - allgemein
• C 1425 IT-Anwendungen - naturwissenschaftlich-technischer Bereich

Contenus

The professional training in Applies Bioinformatics and Biostatistics focuses on adquiring skills by joining biology and computer science. You will learn evaluation methods of bioinformatics such as sequence analysis, next generation sequencing (NGS) and the visualization of structures, as well as the targeted use of (molecular) biological databases and the application of statistical methods using R / R Studio. Furthermore you will be able to write small scripts in Python, which will expand your career profile. In this way, you will be prepared for a job at the intersection of bioinformatics, statistics and programming.
For employment seekers, funding is possible with an education voucher. The training is AZAV certified. Course number: 962/26/2024

Content of the advanced training:

1. Introduction to programming and Python

Introduction to Linux and Bash (Bourne-again shell) using Linux
Basics of programming (programming methodology, pseudocode, data structures)
Version control and code documentation (Git/GitHub)
Introduction to the programming language Python
Object-oriented programming in Python
Job profile and prospects, application strategies

2. Bioinformatics and biodatabases

NCBI and interaction databases
Biopython: Web Services
Database management, SQL

3. Application-oriented bioinformatics

Sequence analysis, sequencing strategies
Pairwise and multiple alignments, BLAST variations
Structural bioinformatics, software for visualization of structures
NGS (Next Generation Sequencing) data analysis

4. Application-oriented biostatistics

Statistical analysis using R / R-Studio
Basics of statistics, descriptive and multivariate statistics
Variance, principal component, cluster and discriminant analysis
Concepts of Machine Learning (Markov chain implementation in Python)
Artificial neural Networks
Automatic image recognition methods

5. Internship

Joint organization of a project / internship in a company / institute
o Individual job application coaching
o Comparison of independently created company lists with the CQ company network for better coordination
o Provision of research tools (platforms, associations, technology parks, job advertisements)
For participants who do not live in Berlin, the internship can be completed in the area of their residence
A door opener for jobs
o Support in the application process
o Researched job advertisements (throughout Germany) are made available

Up to 6 months after the end of the training, job advertisements are sent by e-mail to the former participants.



Requirements:

A requirement is your interest in the subject areas of biology and computer science. Good English skills, solid basic knowledge in biology and mathematics as well as enjoying working with IT applications are required. The target group includes in particular academics in biology, chemistry, medicine, mathematics, physics and computer science.



The Training will be conducted online (live) or in person. We would be happy to provide you with more information about the exact program.