美國(guó)波士頓大學(xué)2024年招聘博士后（系統(tǒng)免疫學(xué)方向）

波士頓大學(xué)（Boston University），簡(jiǎn)稱BU，是一所創(chuàng)辦于1839年的私立研究型大學(xué)，愛國(guó)者聯(lián)盟成員，美國(guó)大學(xué)協(xié)會(huì)成員校。其主校區(qū)位于波士頓市中心查爾斯河河畔，醫(yī)學(xué)院校區(qū)則設(shè)在波士頓市區(qū)南邊的長(zhǎng)木醫(yī)學(xué)區(qū)。

Postdoctoral Fellow in Systems Immunology (dry lab)

Employer

Boston University Atomic Lab

Location

Boston, Massachusetts (US)

Salary

Based on experience

Closing date

14 Jul 2024

Atomic Lab (https://atomic-lab.org/) at the National Emerging Infectious Diseases Laboratories, Boston seeks a Postdoctoral Fellow with a background in AI, data science and bioinformatics. The successful candidate will play a pivotal role in developing and implementing technologies utilizing AI and data-driven approaches for human immune response monitoring, disease prediction, and identification of protective responses for infectious diseases, particularly COVID-19 and influenza. The role involves the application of state-of-the-art software development methods, machine learning, and AI techniques to high-dimensional data to perform integrative and exploratory analysis. The project aims to develop tools that can leverage immunophenotyping data, such as single-cell cytometry data with transcriptome, proteome, and clinical data, to gain insights into the human immune system and protective immunity. A key part of the role will be to investigate how pre-existing immunity correlates with infection or vaccination outcomes to identify an immunological signature associated with protective viral immunity.

Responsibilities:

Lead a project on developing a novel AI platform engineered and utilized the platform for defining novel correlates of protection to various vaccines and infectious diseases.

Acquire, process, integrate, and standardize large datasets and build databases.

Perform integrative and exploratory analysis of multi-omics datasets and apply machine learning methods to decipher immune responses to infections and vaccines.

Selection criteria

Ph.D. in computer science, data science, computational biology, systems biology/immunology, bioinformatics, or other related fields.

Strong track record of productivity, as evidenced by first-author publications in peer-reviewed scientific journals.

Considerable experience in (A) developing AI algorithms or (B) data analysis and handling ‘omics’ datasets – transcriptomics, proteomics, cytometry – evidenced by a portfolio including R scripts, published R packages, or contributions to open-source software projects.

Proficient use of R language, alongside machine learning and AI, with extensive experience in data analysis.

In-depth knowledge and skills in using Linux, Git, Docker, PHP, Python, MySQL, MongoDB, and familiarity with other programming languages such as JavaScript, HTML, and CSS.

Excellent communication skills, evidenced by oral presentations at internationally recognized conferences.

Have background knowledge in immunology.

How to apply?

Please email the following documents to Prof. Adriana Tomic at atomic[at]bu.edu:

CV

List of publications with highlighted intellectual and technical contributions to each listed publication GitHub profile

Cover letter detailing how you meet each selection criterion detailed in the job description

Three letters of recommendation

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