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.
If you wish to view NYU Grossman School of Medicine’s EEO policies, please click here. Please click here to view the Federal “EEO is the law” poster or visit https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm for more information. To view the Pay Transparency Notice, please click here.