崗位職責(zé)
1. 負(fù)責(zé)植物發(fā)育、植物與環(huán)境互作、代謝方向的時空多組學(xué)項(xiàng)目，參與項(xiàng)目設(shè)計、生物學(xué)解讀、文章撰寫及發(fā)表。
2. 運(yùn)用生物信息學(xué)工具進(jìn)行單細(xì)胞和空間多組學(xué)數(shù)據(jù)分析，處理基因組、轉(zhuǎn)錄組、表觀基因組等測序數(shù)據(jù)，提煉并解析科學(xué)問題。
3. 準(zhǔn)備用于發(fā)表的手稿，包括最終分析、結(jié)果和討論部分。
4. 熟悉多種分子生物學(xué)、遺傳學(xué)、細(xì)胞生物學(xué)或代謝組學(xué)實(shí)驗(yàn)技術(shù)。
5. 能獨(dú)立使用英文進(jìn)行文章撰寫及學(xué)術(shù)交流，善于溝通，與團(tuán)隊(duì)成員及合作方保持良好合作關(guān)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(xué)、植物相關(guān)學(xué)科、生物信息學(xué)、統(tǒng)計學(xué)、工程學(xué)、計算機(jī)科學(xué)等相關(guān)專業(yè)的博士學(xué)位。
2. 具備出色的學(xué)科知識儲備和學(xué)術(shù)能力，作為主要作者在植物領(lǐng)域發(fā)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(fā)表在高水平學(xué)術(shù)期刊上的論文。
3. 在以下領(lǐng)域之一具有豐富的測序數(shù)據(jù)分析解讀經(jīng)驗(yàn)：bulk RNA-Seq、單細(xì)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(dú)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(xué)數(shù)據(jù)的生物學(xué)解讀，有組學(xué)研究或生物信息分析背景者優(yōu)先，有植物單細(xì)胞和/或空間測序數(shù)據(jù)研究經(jīng)驗(yàn)者優(yōu)先，有統(tǒng)計學(xué)背景或云計算經(jīng)驗(yàn)者優(yōu)先。
6. 具有較強(qiáng)的責(zé)任心和團(tuán)隊(duì)合作精神，善于進(jìn)行項(xiàng)目規(guī)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(fù)責(zé)植物發(fā)育、植物與環(huán)境互作、代謝方向的時空多組學(xué)項(xiàng)目，參與項(xiàng)目設(shè)計、生物學(xué)解讀、文章撰寫及發(fā)表。
2. 運(yùn)用生物信息學(xué)工具進(jìn)行單細(xì)胞和空間多組學(xué)數(shù)據(jù)分析，處理基因組、轉(zhuǎn)錄組、表觀基因組等測序數(shù)據(jù)，提煉并解析科學(xué)問題。
3. 準(zhǔn)備用于發(fā)表的手稿，包括最終分析、結(jié)果和討論部分。
4. 熟悉多種分子生物學(xué)、遺傳學(xué)、細(xì)胞生物學(xué)或代謝組學(xué)實(shí)驗(yàn)技術(shù)。
5. 能獨(dú)立使用英文進(jìn)行文章撰寫及學(xué)術(shù)交流，善于溝通，與團(tuán)隊(duì)成員及合作方保持良好合作關(guān)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(xué)、植物相關(guān)學(xué)科、生物信息學(xué)、統(tǒng)計學(xué)、工程學(xué)、計算機(jī)科學(xué)等相關(guān)專業(yè)的博士學(xué)位。
2. 具備出色的學(xué)科知識儲備和學(xué)術(shù)能力，作為主要作者在植物領(lǐng)域發(fā)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(fā)表在高水平學(xué)術(shù)期刊上的論文。
3. 在以下領(lǐng)域之一具有豐富的測序數(shù)據(jù)分析解讀經(jīng)驗(yàn)：bulk RNA-Seq、單細(xì)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(dú)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(xué)數(shù)據(jù)的生物學(xué)解讀，有組學(xué)研究或生物信息分析背景者優(yōu)先，有植物單細(xì)胞和/或空間測序數(shù)據(jù)研究經(jīng)驗(yàn)者優(yōu)先，有統(tǒng)計學(xué)背景或云計算經(jīng)驗(yàn)者優(yōu)先。
6. 具有較強(qiáng)的責(zé)任心和團(tuán)隊(duì)合作精神，善于進(jìn)行項(xiàng)目規(guī)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(guī)模：1000人以上
- 公司性質(zhì)：私營企業(yè)
- 所屬行業(yè)：衛(wèi)生其它
- 所在地區(qū)：廣東-深圳市
- 聯(lián)系人：高威
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工作地址
- 地址：廣東省深圳市鹽田區(qū)云華路9號華大時空中心
