As a Senior Scientist, you are an important member of a diverse team supporting research in functional genomics, data science and predictive biology to support novel solutions in agriculture. You are passionate about the idea of using bioinformatics, systems biology, and artificial intelligence to find unique solutions to biological problems. You will be involved in the development of biotech products together with diverse talent from multiple functions.

Role Purpose:
Support biotech trait discovery: apply bioinformatics approaches and workflows to analyze data, interpret results, and adjust procedures and methods to achieve research objectives
Apply subject matter expertise to solve various biological problems, become an active member of the Bioinformatics group and drive innovation in a rapidly evolving scientific discipline

Accountabilities:

Process, analyze and interpret large scale omics datasets, including RNAseq, WGS, GWAS, sc-RNA and chromatin accessibility data from multiple projectsDevelop novel computational approaches to detect gene regulatory patterns in complex biological data and create fundamental datasets for predictive biologyCollaborate with biologists on lead discovery in multiple cropsProvide computational skills and subject matter expertise to a range of research projects
Company Description

Syngenta is a global leader in agriculture; rooted in science and dedicated to bringing plant potential to life. Each of our 30,000 employees in more than 90 countries work together to solve one of humanity’s most pressing challenges: growing more food with fewer resources. A diverse workforce and an inclusive workplace environment are enablers of our ambition to be the most collaborative and trusted team in agriculture. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture.

Qualifications
PhD degree in bioinformatics, computational biology, system biology, genetics or related fields; post-doctoral experience preferredAt least two publications in a mainstream journal in the field of bioinformaticsRich experience in bioinformatics analysis, proficient in using R and Python for omics data analysis, data mining and plotting, familiarity with commonly used analysis software and techniquesExcellent communication skills and the ability to work in multicultural and collaborative teams, enthusiastic about problem-solving

Technical skills

Experience working with a high-performance computing grid including job scheduling such as SlurmCoding in Python and RNecessary knowledge to understand biological problemsExperience with using at least one machine learning/deep learning approach for predictive biology: SVM, Bayesian network, HMM, Random Forest, CNN, encoder/decoder, transformer, etc.Preferred but not required:Protein structure predictionSpatial transcriptomics, sc-RNA seq analysis experience
Additional Information

What We Offer

A platform with a combination of a booming agricultural industry in China domestic market and global resources and exposure, where you can fully develop your potentialA culture that promotes Innovation and Entrepreneurial SpiritCompetitive annual base salary (ABS) and short-term incentive (STI) plansStandard social benefits and housing fund package according to Chinese government policies, plus supplementary medical insurance 

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