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Day 77
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Beijing, Beijing, China
Live, first seen by us 77 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Analyze, interpret and visualize complex scientific datasets
Analyze multi-omics, population and experimental data using AI, Python and R
Contribute to scientific publications and research proposals
Supervise postgraduate students and manage research
support agricultural and biological research through the analysis, interpretation and visualization of complex scientific datasets
apply data-analysis tools and approaches, including AI, Python and R, to analyze multi-omics, population and experimental data
contribute to scientific publications, research proposal development
postgraduate student supervision and research management
Hold a PhD or Master's degree with at least six years of relevant experience
with an academic background in mathematics, genetics, genomics, bioinformatics or a related field
Demonstrated record of publishing multiple high-impact papers in internationally recognized academic journals
the ability to work with complex genetic datasets
Be under 45 years of age as of the application date and in good health
The Data Analysis Scientist will support agricultural and biological research through the analysis, interpretation and visualization of complex scientific datasets. The position will apply data-analysis tools and approaches, including AI, Python and R, to analyze multi-omics, population and experimental data, generate meaningful scientific insights, and support research projects in crop science and related fields. The position will also contribute to scientific publications, research proposal development, postgraduate student supervision and research management. Requirements International background: Be a national of a country participating in the Belt and Road Initiative or another developing country. Professional experience: Have formal employment experience in the above-mentioned countries and be engaged in scientific research. Academic qualification: Hold a PhD or Master's degree with at least six years of relevant experience, with an academic background in mathematics, genetics, genomics, bioinformatics or a related field. Scientific publications: Demonstrated record of publishing multiple high-impact papers in internationally recognized academic journals. Scientific expertise: Demonstrate a high level of scientific expertise or research potential, including the ability to work with complex genetic datasets and support the organization and management of transgenic research projects. Age and health: Be under 45 years of age as of the application date and in good health. Communication and teamwork: Demonstrate strong independent working ability, teamwork and excellent communication skills in English or Chinese. Availability and compliance: Be able to work full-time in China for 12 months, collaborate with Chinese researchers and comply with applicable Chinese laws, regulations and relevant institutional requirements. Data-analysis experience: Demonstrated relevant experience in scientific research data analysis.
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Day 77
Up longer than most. Similar jobs usually come down between day 7 and day 56.
From 10,198 similar postings that came down. Coming down is not always a hire.
1 open job
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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Beijing, Beijing, China
Working pattern and location restrictions need checking in the full posting.
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