Founded in 1841 and located in the heart of New York City, with its vibrant biomedical research community and unsurpassed cultural opportunities, NYU Grossman School of Medicine is an equal opportunity affirmative action employer. Women and minority candidates are strongly encouraged to apply. The newly established Microbial Genomics Core Lab at the NYU Grossman School of Medicine was created with the mission to empower microbial research at NYU with cutting-edge data analysis and genomics.
ABOUT THE JOB
We are looking for an Associate Computational Biologist to join our team and help us analyze large-scale microbial genomic data, including whole-genome sequences, metagenomes, and RNA-Seq. You will be embedded in a highly collaborative environment that spans different areas of NYU's cutting-edge research, including antimicrobial resistance, microbial evolution, microbial pathogenesis, microbiome, and computational biology, while also supporting life-saving antibiotic treatment and infection control strategies within our hospitals. Our vibrant and interdisciplinary team consists of computational biologists, lab scientists, and clinicians who work together to answer clinical questions, generate insights to prevent infections, and build predictive models.
-Create and improve efficient computational pipelines for alignment, assembly, and annotation of microbial sequencing data
-Assist in data analysis, write code, and deploy computational tools for the exploration of large-scale microbial datasets consisting of diverse types of sequencing data
-Create compelling figures with novel and established data visualization tools
-Contribute to data analysis and writing for publications
-Present at lab meetings and other scientific meetings at NYU. Presentations at external meetings will be encouraged in the second year
-A bachelor's degree in a quantitative discipline (such as computer science, bioinformatics, physics) or in biology, with a strong quantitative background.
-Relevant experience, which may include the completion of a master's or doctoral degree
-Knowledge of algorithms for analysis of nucleotide sequences, including sequence-similarity search, alignment, assembly, annotation, and phylogenetics
-Proficiency in R and Python and experience with Unix/Linux environments (including Shell scripting)
-Attention to detail, the ability to learn quickly, creativity, analytical thinking, "hands-on" spirit, highly collaborative team-player
-Strong communication skills
-Strong interest in microbes and infectious disease
WE ALSO VALUE
-Experience with microbial genomics
-Experience with next-generation sequencing data analysis
-Knowledge of infectious disease and epidemiology
-Proficiency in relational databases, e.g. MySQL
-Proficiency in further programming languages
-Software engineering skills
-Experience in statistics and machine learning
-Proven ability to work independently with guidance and mentorship
By joining our team, you will help us accelerate infectious disease research and create life-saving therapies. In our team, you will find an appreciative environment that welcomes diversity and supports your efforts to learn and grow.
The Pironti Laboratory is in a state-of-the-art research facility in the Alexandria Center for Life Science. The successful applicant will join the research community at the NYU Grossman School of Medicine and the Department of Microbiology (med.nyu.edu/departments-institutes/microbiology/), which provides a dynamic and exciting environment at the cutting edge of microbiology, infectious diseases, and immunology. Interested candidates can email firstname.lastname@example.org to submit their CV and a cover letter that describes previous work and future work/research interests and also includes the contact information of three references.