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Delta4 Hyper-C

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About

Delta4 is a TechBio company utilizing its proprietary AI platform, Hyper-C, for AI-powered drug discovery and indication expansion. Hyper-C analyzes big data to identify new indications for drugs with known safety profiles, accelerating the drug development process. The platform integrates thousands of algorithms and leverages expertise in computational biology. Delta4's services help clients streamline R&D, minimize costs, and bring new treatments to market faster and more safely. The company works with various partners and clients in the pharmaceutical industry and is actively recruiting for several full-time positions.

Platform
Web
Keywords
aidrug discoveryindication expansiondrug repurposingin-silico platform
Task
drug discovery

Features

big data analysis

ai-powered drug discovery

molecular modeling

algorithm development

computational biology expertise

in-silico platform

drug repurposing

indication expansion

Job Opportunities

Delta4 Hyper-C favicon
Delta4 Hyper-C

Computational Biology PhD Position

AI-powered platform for drug discovery and indication expansion, accelerating the development and market launch of new therapies.

scienceonsiteVienna, AT
3.200 € / month - 4.000 € / month
full-time

Benefits:

  • Marie Skłodowska-Curie Action scheme advantages

  • Participation in web seminars

  • Attendance at yearly meetings and international congresses

  • Work at a modern office in Vienna

Education Requirements:

  • Master's degree in bioinformatics/computational biology

Other Requirements:

  • Fluent in R or Python

  • Understanding of cellular and molecular biology

  • Experience with SQL, JSON, XML

  • Statistical analysis of large datasets

  • Experience with biological databases (NCBI, Ensembl, UniProt, GEO, ArrayExpress)

  • Knowledge of biological ontologies

  • Knowledge of graph theory

  • Experience with biological network modeling

Responsibilities:

  • Meta-analysis of omics data

  • Generation of a network-based molecular model

  • Identification of compounds interfering with disease pathobiology

  • Identification of drug combinations targeting synthetic lethal interactions

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