Genomics Data Scientist

4 weeks ago

New York, United States NYU Langone Health Full time

**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. At NYU Langone Health, equity, diversity, and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace diversity, inclusion, and individual skills, ideas, and knowledge. _For more information, go to _med.nyu.edu_, and interact with us on _LinkedIn_, _Glassdoor_, _Indeed_,_ _Facebook_, _Twitter_ and _Instagram_._

**Position Summary**:
**Responsibilities**:

- Applies statistical and machine learning approaches to study correlations, uncover features, and develop classifiers across large cancer genomics datasets.
- Develops and maintains custom software for the analysis, visualization, and interpretation of cancer genomics data.
- May make significant contributions to scientific papers including first or co-first author. Is a resource/ author/ co-author for reports and presentations.
- Presents regularly to laboratory and NYU research community. May present research work at local, regional, national, or international conferences.
- Helps to organize large genomic datasets including managing laboratory storage footprint.
- Implements and maintains high quality and cutting-edge genomics data processing pipelines, helps to scale
- algorithms and analyses across high performance computing and cloud systems, including optimizing speed and memory.
- Oversees the maintenance of lab computational environment, including maintaining and introducing best practices in the laboratory for software development and data organization.
- Helps formulate, prioritize, and manage team tasks around key milestones and strategic goals related to analysis and software development.
- May provide trainees with technical guidance and direction in the operation of dry lab best practices including maintaining laboratory documentation.
- May contribute to lab compliance and quality control.

**Minimum Qualifications**:
To qualify you must have a PhD and 3 years of experience. Deep familiarity with basic genomics tools (eg IGV, bwa, samtools) and file formats (eg.bam,.vcf,.bed,.bedpe), facility with statistical hypothesis testing (eg generalized linear models, mixed models), basic machine learning toolkit (eg unsupervised clustering, mixture models, random forests), high-performance computing (eg SLURM)

**Preferred Qualifications**:
Postdoctoral training or equivalent industry experience. Established a record of publications, including first or co-first author contributions. Track record of open-source software development on GitHub.
R / Bioconductor Suite including GenomicRanges and data.table, Python, Emacs / ESS, whole genome sequencing analysis, facility with clinical variant interpretation, familiarity with continuous integration / software.

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 Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $81,325.15 - $135,541.73 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

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