NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.
We have an exciting opportunity to join our team as a Senior Bioinformatics Programmer. The newly established Microbial Genomics Core Lab at the NYU Grossman School of Medicine was created with the mission to empower microbial research with cutting-edge data analysis and genomics. The Lab is directed by Dr. Alejandro Pironti. The successful applicant will join the research community at the NYU Grossman School of Medicine and the Department of Microbiology, which provides a dynamic and exciting environment at the cutting edge of microbiology, infectious disease, and immunology. We are looking for a talented and highly motivated Senior Bioinformatics Programmer to join our team and help us analyze large-scale microbial genomic data, including whole-genome sequences, metagenomes, and microbial RNA-Seq. The candidate 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. 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.
To qualify you must have a Masters degree or doctoral degree in a quantitative discipline (e.g. computer science, bioinformatics, physics) or in biology, with a strong quantitative background. Knowledge of algorithms for analysis of nucleotide sequences, including sequence-similarity search, alignment, assembly, annotation, and phylogenetics. Proficiency in Python and preferably also R, along with 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. Proven ability to work independently with guidance and mentorship. Strong communication skills. Strong interest in microbes and infectious disease.
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.
Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.
NYU Grossman School of Medicine is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sex, sexual orientation, transgender status, gender dysphoria, national origin, age, religion, disability, military and veteran status, marital or parental status, citizenship status, genetic information or any other factor which cannot lawfully be used as a basis for an employment decision. We require applications to be completed online.
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