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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

View more

Discipline
Life Science
Job Type
Postdoctoral
Employment - Hours
Full time
Duration
Fixed term
Qualification
PhD
Sector
Academia

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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