Official position website: atomic-lab.org/contact/
Nature jobs post: www.nature.com/naturecareers/job/12815411/postdoctoral-fellow-in-systems-immunology-dry-lab-/
The Atomic Lab, led by Prof. Adriana Tomic, is at the forefront of systems immunology research, focusing on the development and application of AI computational tools to understand and manipulate the human immune system. Central to our efforts are the PANDORA (Pan-Dimensional Omics and Research Analysis) and SIMON platforms. PANDORA is a cutting-edge, web-based tool designed for the integration, analysis, and visualization of a wide array of biological data types. It supports a variety of use cases, from infection marker identification and gut bacteria-cancer connections to drug discovery and personalized medicine, employing advanced machine learning models like clustering, heatmap generation, t-SNE, UMAP, and more. SIMON, an automated machine learning system, has been instrumental in uncovering immune signatures of influenza vaccine responses and predicting the durability of COVID-19 immunity.
We are seeking a postdoctoral fellow with a strong background in data science and bioinformatics to contribute to our ongoing projects. This individual will play a crucial role in utilizing AI and data-driven methodologies for analyzing human immune responses, predicting disease outcomes, and identifying preventive measures against infectious diseases.
Responsibilities:
- Leading the development and application of innovative AI tools for the identification of new correlates of protection against various vaccines and infectious diseases.
- Managing the collection, processing, integration, and standardization of large-scale datasets, and building comprehensive databases.
- Conducting detailed integrative and exploratory analyses of multi-omics datasets, applying ML techniques to decipher complex immune responses.
This opportunity not only offers the chance to contribute to groundbreaking research but also to be part of a vibrant, collaborative community dedicated to advancing our understanding of the immune system through computational innovation.
- Ph.D. in computational biology, systems biology/immunology, bioinformatics, or a related field, with demonstrated experience in omics data analysis and a proven publication record.
- Proficiency in programming in R and Python, with extensive experience in data analysis, including the use of machine learning and AI technologies.
- Familiarity with Linux, Git, Docker, PHP, MySQL, MongoDB, and other programming languages like JavaScript, HTML, CSS is desirable.
- Strong communication skills, evidenced by oral presentations at internationally recognized conferences and a solid understanding of immunology.
- A highly collaborative spirit, with the ability to work independently as well as part of a multidisciplinary team.
Interested candidates are encouraged to apply by sending the following documents to Prof. Adriana Tomic at atomic [at] bu.edu:
CV
List of publications, highlighting your contributions to each
Link to your GitHub profile (if available)
Cover letter explaining how you meet the selection criteria and your motivation for applying
Three letters of recommendation