Faculty-Non-Tenure Research Track-Dept of Bioinformatics
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Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
About Us
The Albert Einstein College of Medicine invites applications for a full-time non-tenured research track faculty position in Bioinformatics.
We seek a PhD-level scientist with demonstrated expertise in integrating and analyzing large omic data (e.g. genomics transcriptomics epigenomics microbiome) who will contribute to the research and educational missions of the new Data Science Institute.
The Data Science Institute at Einstein is a cross-disciplinary institute dedicated to advancing biomedical data science through research education and collaboration. The institute supports methodological innovation in statistics bioinformatics health research informatics and AI/machine learning with a focus on applications to clinical translational and population health research.
The successful candidate will join this growing interdisciplinary community of investigators and trainees to collaborate on developing innovative bioinformatics methodology as well as advancing scientific discovery and data science training.
Please visit the website for more information:
Albert Einstein College of Medicine Launches Data Science Institute Montefiore Einstein
POSITION RESPONSIBILITIES
- Collaborate with faculty and research teams on the design analysis and interpretation of omic studies.
- Develop and apply computational and statistical approaches to address complex biomedical questions with omic data.
- Contribute to scholarly dissemination including grant applications and peer-reviewed publications.
- Offer training to students postdoctoral fellows and junior investigators in bioinformatics methods.
- Participate in institutional initiatives to strengthen data science and bioinformatics research capacity.
QUALIFICATIONS
- PhD in Bioinformatics Computational Biology Biostatistics Computer Science or a related discipline.
- Demonstrated expertise in analyzing multiple omic data types from either bulk tissues or single cells of human or mice.
- Strong record of scholarship including peer-reviewed publications.
- Proficiency with bioinformatics tools and programming languages such as R and Python.
- Commitment to team science and mentorship.
- Excellent in communications.
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Key Skills
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