崗位職責
1. 負責植物發育、植物與環境互作、代謝方向的時空多組學項目，參與項目設計、生物學解讀、文章撰寫及發表。
2. 運用生物信息學工具進行單細胞和空間多組學數據分析，處理基因組、轉錄組、表觀基因組等測序數據，提煉并解析科學問題。
3. 準備用于發表的手稿，包括最終分析、結果和討論部分。
4. 熟悉多種分子生物學、遺傳學、細胞生物學或代謝組學實驗技術。
5. 能獨立使用英文進行文章撰寫及學術交流，善于溝通，與團隊成員及合作方保持良好合作關系。
1. Lead spatiotemporal omics projects focused on plant development, plant-environment interactions, and metabolism, participating in project design, biological interpretation, manuscript writing, and publication.
2. Using bioinformatics tools to perform single-cell and/or spacial transcriptomic data analysis, sequencing data also includes genomic, transcriptomic, epigenomic, and other data;
3. Prepare manuscripts for publication, including final analysis, results, and discussion sections.
4. Be familiar with various molecular biology, genetics, cell biology, or metabolomics experimental techniques.
5. Independently write articles and conduct academic exchanges in English, communicate effectively, and maintain good collaborative relationships with team members and partners.
任職要求
1. 具有生物學、植物相關學科、生物信息學、統計學、工程學、計算機科學等相關專業的博士學位。
2. 具備出色的學科知識儲備和學術能力，作為主要作者在植物領域發表過重要影響力的論文，至少有一篇以第一作者或共同第一作者發表在高水平學術期刊上的論文。
3. 在以下領域之一具有豐富的測序數據分析解讀經驗：bulk RNA-Seq、單細胞 RNA/ATAC 測序、ATAC-Seq、small RNA-Seq、ChIP-Seq、全基因組測序、Hi-C 等。
4. 具有獨立英文寫作及文章撰寫能力，良好的英語書面和口語溝通能力。
5. 熟悉組學數據的生物學解讀，有組學研究或生物信息分析背景者優先，有植物單細胞和/或空間測序數據研究經驗者優先，有統計學背景或云計算經驗者優先。
6. 具有較強的責任心和團隊合作精神，善于進行項目規劃和溝通。
1. Ph.D. in Biology, Plant Sciences, Bioinformatics, Statistics, Engineering, Computer Science, or related fields.
2. Strong academic background with significant publications in the plant field, including at least one high-impact paper as the first or co-first author.
3. Extensive experience in sequencing data analysis (e.g., bulk RNA-Seq, single-cell RNA/ATAC-Seq, ATAC-Seq, small RNA-Seq, ChIP-Seq, whole-genome sequencing, Hi-C).
4. Proficient in English writing and communication, capable of independent article writing and publication.
5. Familiar with omics data interpretation; preference for candidates with plant single-cell/spatial sequencing experience, statistical background, or cloud computing skills.
6. Strong responsibility, teamwork, project planning, and communication skills.
1. 負責植物發育、植物與環境互作、代謝方向的時空多組學項目，參與項目設計、生物學解讀、文章撰寫及發表。
2. 運用生物信息學工具進行單細胞和空間多組學數據分析，處理基因組、轉錄組、表觀基因組等測序數據，提煉并解析科學問題。
3. 準備用于發表的手稿，包括最終分析、結果和討論部分。
4. 熟悉多種分子生物學、遺傳學、細胞生物學或代謝組學實驗技術。
5. 能獨立使用英文進行文章撰寫及學術交流，善于溝通，與團隊成員及合作方保持良好合作關系。
1. Lead spatiotemporal omics projects focused on plant development, plant-environment interactions, and metabolism, participating in project design, biological interpretation, manuscript writing, and publication.
2. Using bioinformatics tools to perform single-cell and/or spacial transcriptomic data analysis, sequencing data also includes genomic, transcriptomic, epigenomic, and other data;
3. Prepare manuscripts for publication, including final analysis, results, and discussion sections.
4. Be familiar with various molecular biology, genetics, cell biology, or metabolomics experimental techniques.
5. Independently write articles and conduct academic exchanges in English, communicate effectively, and maintain good collaborative relationships with team members and partners.
任職要求
1. 具有生物學、植物相關學科、生物信息學、統計學、工程學、計算機科學等相關專業的博士學位。
2. 具備出色的學科知識儲備和學術能力，作為主要作者在植物領域發表過重要影響力的論文，至少有一篇以第一作者或共同第一作者發表在高水平學術期刊上的論文。
3. 在以下領域之一具有豐富的測序數據分析解讀經驗：bulk RNA-Seq、單細胞 RNA/ATAC 測序、ATAC-Seq、small RNA-Seq、ChIP-Seq、全基因組測序、Hi-C 等。
4. 具有獨立英文寫作及文章撰寫能力，良好的英語書面和口語溝通能力。
5. 熟悉組學數據的生物學解讀，有組學研究或生物信息分析背景者優先，有植物單細胞和/或空間測序數據研究經驗者優先，有統計學背景或云計算經驗者優先。
6. 具有較強的責任心和團隊合作精神，善于進行項目規劃和溝通。
1. Ph.D. in Biology, Plant Sciences, Bioinformatics, Statistics, Engineering, Computer Science, or related fields.
2. Strong academic background with significant publications in the plant field, including at least one high-impact paper as the first or co-first author.
3. Extensive experience in sequencing data analysis (e.g., bulk RNA-Seq, single-cell RNA/ATAC-Seq, ATAC-Seq, small RNA-Seq, ChIP-Seq, whole-genome sequencing, Hi-C).
4. Proficient in English writing and communication, capable of independent article writing and publication.
5. Familiar with omics data interpretation; preference for candidates with plant single-cell/spatial sequencing experience, statistical background, or cloud computing skills.
6. Strong responsibility, teamwork, project planning, and communication skills.
職位類別： 生物工程/生物制藥
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- 公司規模：1000人以上
- 公司性質：私營企業
- 所屬行業：衛生其它
- 所在地區：廣東-深圳市
- 聯系人：高威
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工作地址
- 地址：廣東省深圳市鹽田區云華路9號華大時空中心
