Data Scientist – Computational Multi-Omics

233635W-01

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.