- Bioinformatician
We are seeking a highly motivated bioinformatician to join our efforts to unravelling the links between regeneration and ageing. The successful candidate will:
· Design and conduct bioinformatic analyses of data at single cell and bulk level, including transcriptomic, epigenetic (e.g. DNAm arrays, genomic data) and proteomic datasets, including mRNA sequencing data generated via the 10XMultiome workflow and Illumina sequencing.
· Conduct cross-species single cell analyses.
· Analyse and interpret spatial transcriptomics.
· Contribute to hypothesis generation, experimental design, analytical pipeline documentation, research presentations and manuscript preparation.
· Provide training/guidance to other team members.
· Balance independent work and team collaboration.
Candidates should have a degree in bioinformatics or a related field, strong theoretical knowledge and experience in bioinformatics, particularly single cell data and spatial transcriptomics analyses. Fluency in spoken and written English is required. Prior experience in the fields of Regeneration, Aging or Evolutionary biology is a bonus.
生物信息分析師
我們誠聘一名積極主動的生物信息學(xué)專業(yè)人員,共同探索再生與衰老的關(guān)聯(lián)機(jī)制。
崗位職責(zé):
l 設(shè)計并開展單細(xì)胞及群體水平的生物信息學(xué)分析,包括:
? 轉(zhuǎn)錄組、表觀遺傳組(如DNA甲基化芯片、基因組數(shù)據(jù))及蛋白質(zhì)組數(shù)據(jù)分析
? 基于10XMultiome工作流程和Illumina測序平臺生成的mRNA測序數(shù)據(jù)分析
l 開展跨物種單細(xì)胞分析
l 解析空間轉(zhuǎn)錄組數(shù)據(jù)
l 參與科學(xué)假說提出、實驗設(shè)計、分析流程文檔編寫、研究匯報及論文撰寫
l 為團(tuán)隊成員提供技術(shù)培訓(xùn)與指導(dǎo)
l 協(xié)調(diào)獨立工作與團(tuán)隊協(xié)作
任職要求:
l 生物信息學(xué)或相關(guān)領(lǐng)域?qū)W位
l 扎實的生物信息學(xué)理論基礎(chǔ)及實踐經(jīng)驗,尤其擅長:
? 單細(xì)胞數(shù)據(jù)分析
? 空間轉(zhuǎn)錄組學(xué)分析
l 必備流利的英語聽說讀寫能力
l 有再生生物學(xué)、衰老研究或進(jìn)化生物學(xué)經(jīng)驗者優(yōu)先
首都醫(yī)學(xué)科學(xué)創(chuàng)新中心[Chinese Institutes for Medical Research(CIMR), Beijing](簡稱創(chuàng)新中心)是北京市新成立的具有獨立法人資格的新型研發(fā)機(jī)構(gòu)。創(chuàng)新中心以推動醫(yī)學(xué)科學(xué)發(fā)展、改善人類健康為目標(biāo),開展生物醫(yī)學(xué)研究,致力于提升醫(yī)學(xué)科學(xué)創(chuàng)新與成果轉(zhuǎn)化能力,提高疾病診斷和治療水平。我們將匯聚世界高水平科學(xué)家,與首都醫(yī)學(xué)教育和科學(xué)研究優(yōu)質(zhì)資源緊密合作,打造多學(xué)科交叉融合的科研平臺,綜合自由探索、醫(yī)學(xué)目標(biāo)導(dǎo)向、有組織科研等途徑,實踐新型科研模式和體制機(jī)制,逐步推進(jìn)醫(yī)教研產(chǎn)的深度融合,培養(yǎng)適應(yīng)醫(yī)學(xué)科學(xué)創(chuàng)新發(fā)展的優(yōu)秀人才。