Innoplexus offers Data as a Service and
Continuous Analytics as a Service products, leveraging Artificial Intelligence and advanced analytics to help reduce the time to market, significantly.
Our products leverage proprietary algorithms and patent pending technologies to help global Life sciences & Financial services organizations with access to relevant data, real time intelligence & intuitive insights, across the life cycle of the products.
We automate the collection, curation, aggregation, analysis & visualization, of billions of data points from thousands of data sources, using domain-specific language processing, ontologies, computer vision, machine learning, network analysis and more.
You are the right person in our team if you :
- Have a good understanding and hands-on experience on biological databases and integration
- Have good understanding of ontology design, normalisation and implementation including network construction
- Can utilize big data, NoSQL databases, data integration, and statistics
- Have experience in the use of a high-level programming language such as Python to automate routine tasks and turn them into production quality code, preferably in Linux environment
- Are able to understand scientific literature, experimental procedures and their limitations, and current needs of the research community
- Have a good understanding of kinetic modelling of metabolic pathways
- Should be passionate about the relevant concepts in bioinformatics, data science, AI / ML, biology and drug development. You have a learning mindset.
- Should be comfortable working independently and in a team, and can handle several concurrent, fast-paced projects.
We need you to have :
Masters or Ph.D. in Bioinformatics / Biochemistry / Computer science or a related field, with at least 2 years of industrial or research experience, capable of executing projects independentlyDemonstrated technical expertise in computational pipeline developmentPublication(s) in peer-reviewed journals and / or congresses. Patent filings is a plus.