Data Scientist – Computational Multi-Omics

5 days ago

Hyderabad, India Corteva Agriscience Full time

Description

We are seeking a ' Data Scientist – Computational Biology' at our Corteva Corporate Office, Hyderabad, INDIA to join our team and contribute to cutting-edge research at the intersection of artificial intelligence and molecular Biology. We leverage data science and multi-omics data to discover, optimize and develop novel traits, crop protection and biologicals products . As a Data Scientist, you will be part of a diverse team of Data Scientists and Analysts. A critical aspect of this position involves working with global teams across multiple locations. Communication and teamwork are key elements of this role; excellent verbal and written communication skills are required.

Responsibilities

Develop AI/ML techniques tailored towards diverse and complex molecular data types to uncover structural and functional insights. Develop analytical methods to process multi-omics datasets including single cell genomics, spatial transcriptomics, open chromatin, epigenomics, metabolomics, etc. Apply statistical techniques and data mining approaches to extract meaningful patterns and correlations from large-scale biological data sets. Integrate advanced visualization methods and AI/ ML algorithms for data interpretation. Communicate the results, interpretations, and conclusions of analysis to stakeholders and suggest relevant/ potential experiments for confirming computational analysis-based predictions.

Qualifications

Ph.D. in Computer Science, Bioinformatics, Statistics, or related fields with demonstrated experience in NGS and Multi-Omics data analysis. Demonstrated experience working with high throughput sequencing datasets including RNAseq, epigenomics, single-cell and spatial genomics datasets. Strong background in machine learning, deep learning, and statistical analysis, with demonstrated experience in applying these techniques to biological data. Proficiency in programming languages commonly used in bioinformatics and machine learning, such as Python, R, and TensorFlow/PyTorch. Experience in additional programming languages and technologies is a plus. Experience in computational proteomics/ metabolomics data analysis tools. Demonstrated experience in high performance computing and cloud technologies including AWS, Kubernetes Excellent written and oral communication skills with the ability to communicate complex, technical information in a clear and concise manner. Proven record of publishing scientific work in high-impact journals is preferred.

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