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Data Scientist
Patanjali Research Foundation Trust
posted 1mon ago
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Job Description
Patanjali Research Institute is seeking a Data Scientist enthusiast with the ability to solve complex biological problems, improve the understanding of biological systems and diseases and accelerate drug discovery using machine learning and AI.
Essentials:
Prior knowledge of Biology or related discipline is a must with proven experience in Data science.
Job Responsibilities:
- Understand and translate the requirements of our research teams to develop scientific and technical plans that help to achieve their study objectives
- Analyse multi-omics (metabolomics, genomic, proteomic and etc) and other kinds of biological data to derive relevant insights using state-of-the-art statistical methods.
- Innovate and implement new tools and pipelines, improve existing pipelines and algorithms for different types of biological data analysis and visualization.
- Effectively communicate analysis results via presentations.
- Perform integrative, pathway and network analyses to understand disease mechanisms and discover insights.
- Identify valuable data sources and automate data collection.
- Monitor and evaluate new and emerging analytical technologies and identify opportunities for collaboration.
- Work in a multi-disciplinary team of Biologists and Chemists.
Educational experience and requirements:
- PhD (1-3 years of experience in the relevant field) OR Master s Degree (3-5 years of relevant experience) in Bioinformatics, Computational Biology, Biology or related technical discipline.
- Relevant experience in Data Science, Bioinformatics, Omics data analysis, Machine Learning or related fields is preferred.
- Proficient in a programming language used for data analysis such as Python or R.
- Candidate with a thorough understanding of biological data, experimental design, data mining, and curation is preferred.
- Hands-on experience applying computational algorithms and statistical methods to structured and unstructured big data.
- Deep understanding of basic statistical concepts and principles, such as regression and hypothesis testing.
- Extensive experience in data mining, cleansing, data visualization, and machine learning
Employment Type: Full Time, Permanent
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Monday to Saturday
No travel
Day Shift
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