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The Institute of Biological Chemistry (IBC) at Academia Sinica, Taiwan (www.ibc.sinica.edu.tw) seeks outstanding candidates to fill tenure-track faculty positions at the Assistant Research Fellow level. The Institute has a long tradition of excellence in research at the biology/chemistry interface, in particular protein biochemistry, structural biology, glycoscience and the study of other post-translational modifications.

We seek candidates pursuing innovative research in biochemical science, broadly defined, who seek to uncover how biochemical systems function, interact, and evolve at the molecular level. Experience with, and an interest in integrating, artificial intelligence into their research is also highly desirable.

Chosen candidates will receive a joint appointment at the Institute of Biochemical Sciences, National Taiwan University (ibs.ntu.edu.tw), along with substantial start-up funds, ongoing intramural support, and full access to all shared resources in Academia Sinica.

Application materials should include:
1) A cover letter with the names of three referees who will write on the applicant’s behalf;
2) A curriculum vitae;
3) A statement of research accomplishments; and
4) A proposal for future research. Application materials should be combined into a single PDF file and sent to the Chair of Recruitment Committee, c/o Ms. Pei-Ru Liao (email: prliao@as.edu.tw). The applicant should arrange for the letters from the three referees to be sent directly to prliao@as.edu.tw. Screening of applications will begin on November 2, 2026.

IBC is dedicated to fostering a diverse and inclusive workforce, and we actively encourage applications from individuals of all backgrounds. We particularly welcome applications from women, indigenous peoples, individuals from visible minority groups, persons with disabilities, and those of any sexual orientation or gender identity. Proficiency in Mandarin Chinese is not a prerequisite for application.

協助研究計畫相關項目

中研院體積電顯與斷層影像設施主要目標為協助低溫電顯設施完成生物樣品內的超微結構解析及大體積成像進以解決生物學機制及重大疾病問題，現尋求可長期穩定協助設施運作之人才。（設施網頁參考：https://asvet.icob.sinica.edu.tw/）
1. 設施例行維護運作
2. 冷凍樣品製備與上機、協助使用者儀器操作
3. 協助制定冷凍樣品製備相關流程
3. 提供專業技術諮詢及教育訓練
4. 定期彙報、統計資料等行政業務
5. 臨時交辦事項

1. 所內儀器設備維護相關業務。
2. 觀測站儀器設置與維運相關業務，包含場地使用、用地申請、租借及跨機關聯繫協調等事項。
3. 其他臨時交辦事項。

1.Assist with academic research.
2.Handle administrative tasks related to research projects (e.g., basic 3.Chinese-English translation, expense reimbursement).
Assist with other tasks as needed.

天文望遠鏡接收機系統／元件：機械設計、結構分析、圖面與製作監造。
系統整合、測試與驗證（Integration & Verification），從設計走到實際系統。
機械系統設備安裝、問題排除與現場支援（包含海外天文臺站）。
跨團隊協作（跨工程領域 × 科學）。

1. 協助研究(1) molecular mechanisms of adult stem cell maintenance and differentiation, (2) establishment of stem cells, and (3) cell reprogramming for therapy
(For details, see Wang, L.-J., Chen, C.-P., Lee, Y.-S., Ng, P.-S., Chang, G.-D., Pao, Y.-H., Lo, H.-F., Peng, C.-H., Cheong, M.-L., and Chen, H. (2022) Functional Antagonism between ΔNp63α and GCM1 Regulates Human Trophoblast Stemness and Differentiation. Nat. Commun., 13: 1626; https://doi.org/10.1038/s41467-022-29312-6.)
2. 實驗室行政工作

1) 本院國際研究生學程暑期生實習計畫（含出國招生宣訪及實習生到院後行政支援工作）
2) 本院國際學人子女教育相關業務
3) 國際研究生學程相關活動支援
4) 其他長官交辦事項

1. 資料治理與隱私：負責資料清理與標準化，落實去識別化作業。
2. 統計分析與視覺化：執行統計分析與圖表轉化，獨立撰寫社會洞察報告。
3. 國際推廣：與國際學術資料庫聯繫、協助相關合作事宜。
4. AI技術應用：協助評估與導入AI技術，深化後設資料（Metadata）加值應用。
5. 專案行政與協調：支援專案推進與跨團隊溝通協調。

1.辦理本院計畫之規劃及推動，負責專案規劃、預算籌編、計畫審核、執行推動、管考追蹤及經費管理等業務。
2.立法院、審計部等相關提問之擬答撰寫或資料彙整。
3.其他有關學術行政、計畫管理等臨時交辦事項。

(一) 交通管理與系統操作(主要業務)
監控與操作:負責車牌辨識系統的日常運作、數據核對與異常狀況排查、違規車輛記錄。
資料維護:定期匯出交通統計報表,確保系統資料的正確性與即時性。
(二) 行政核心業務(職務輪調範疇)
採購業務、財產管理、綜合行政及其他主管交辦之庶務性工作。

OVERVIEW

The Cheng lab is looking for an enthusiastic and excellent
Bioinformatician to join our dynamic and competitive group
in human immunology research in the Institute of Biomedical
Sciences at Academia Sinica, Taiwan. Our research focuses on
deep-profiling human adaptive immunity during viral infection,
vaccination, or virus-associated cancer by cutting-edge technologies
including mass cytometry, single-cell sequencing methods
(Cheng et al., 2019. Science Immunology; Cheng et al., 2021. Immunity),
spatial transcriptomics, high-dimensional analysis
(Newell and Cheng., 2016. Nature Immunology), and machine learning
modeling. You will be working on exciting and complicated datasets
directly related to human health and disease. We have established
several platforms that generates high-quality data derived from
human clinical samples across infection, cancer, vaccination, and
immune-related diseases.

RESPONSIBILITIES

1. ASTRA consortium project: Analysis of Xenium single-cell spatial
transcriptomics data generated from a cohort of HCC patients.

2. CRS nasal atlas: Analysis of scRNA-seq dataset derived from a 32 CRS
patient cohort.

3. Analysis of scTCR-seq and scATAC-seq data.

4. Involve in all research projects in the lab to assist for data analysis.

5. Build cool tools or pipelines that facilitate data analysis.