September 1st, 2021
BIOINFORMATICS PROGRAMMER — MICROBIAL GENOMICS
We are seeking a talented and highly motivated Bioinformatics Programmer to join us in the analysis of large-scale microbial genomic data.
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 Computational Genomic 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 have an exciting opportunity to join our team as a 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 and is a critical component of the recently created Anti-Microbial Resistant Pathogens Program. 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 Bioinformatician 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 infection control strategies within our hospital system. 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.
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
Help develop efficient computational pipelines for alignment, assembly, and annotation of microbial sequencing data
Contribute to data analysis and writing for publications
Present at lab meetings and other scientific external meetings
A bachelor’s degree in a quantitative discipline (e.g. computer science, bioinformatics, physics) or in biology, with a strong quantitative background
Good command of Python and preferably also R, along with experience with Unix/Linux environments.
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.
Knowledge of algorithms and workflows for analysis of nucleotide sequences, e.g., sequence-similarity search, alignment, assembly, annotation, and phylogenetics.
WE ALSO VALUE
Experience with microbial genomics.
Experience with next-generation sequencing data analysis.
Knowledge of infectious disease and epidemiology.
Knowledge of relational databases, e.g., MySQL.
Proficiency in further programming languages.
Software engineering skills.
Knowledge of statistics and machine learning.
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 (https://med.nyu.edu/departments-institutes/microbiology/), which provides a dynamic and exciting environment at the cutting edge of microbiology, infectious disease, and immunology. Interested candidates 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 to email@example.com .
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.