Career Center

Assistant Research Scientist (Data Scientist)

Full-Time

Dr. Aouizerat's laboratory focuses on the identification of molecular mechanisms that underlie symptoms (e.g., pain, fatigue), sequelae (e.g., lymphedema, neuropathy) and treatment (i.e., pharmacogenomics, pharmacokinetics) of common chronic diseases (e.g., cancer, cardiovascular disease, HIV). Research conducted by the group includes a combination of dry (e.g., data sciences, informatics) and wet (e.g., molecular biology) approaches. Research topics include development of multi-omic risk profiles, development of prognostic panels, leveraging large-scale publicly available datasets to complement de novo lab-generated data, translational research (i.e., study of therapeutic targets in humans and mice), genomics and epigenomics (i.e., array-based and sequencing-based), transcriptomics (i.e., array-based and sequencing-based), and functional analyses (e.g., wet bench experiments).

The Assistant Research Scientist (Data Scientist) will manipulate and analyze multiple complex data sets generated from both internal and external sources, use, modify, or create pipelines and reporting software, and aid other scientists in the group with a variety of computational tasks. By applying a variety of software and technologies, the Data Scientist enables the rapid, incremental analysis required to best process and interpret the large amount of data generated in a molecular epidemiology laboratory.

JOB SPECIFIC TASKS

• Develop analytical pipelines for manipulating multi-omic datasets and interpret results appropriately to ensure accuracy and reliability of those pipelines.
• Collaborate with others in the research team, including statisticians, molecular biologists, molecular epidemiologists, and other data scientists to design studies and implement computational applications.
• Assist Dr. Aouizerat with design and conduct of research projects.
• Acquire, update and analyze data from internal (e.g., Aouizerat or affiliated laboratories, Core Facilities) or external (e.g., TCGA, dbGaP, GeTx) sources, document system changes, write and maintain documentation for end users. Prepare and contribute to research papers.
• Other duties as assigned.

In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $59,000 - $76,000. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.

Education and Experience:

• Bachelors degree in biology, chemistry or other life sciences
• Master's in Data Sciences or similar required, PhD preferred
• Training in biostatistics (e.g., Minor, Master's Degree) preferred 
• Experience with multiple programming languages and computational environments, including UNIX-style operating systems, command line interfaces, R, perl/python or similar, and SQL or other database software to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of current data sciences approaches and databases
• Background in machine learning and quantitative data analysis, as demonstrated through previous work or academic experience.
• Experience with project management preferred.

Required Skills:

• Excellent programming skills and ability to manipulate large data sets and proficient with design and use of modern relational/non-relational databases.
• Knowledge of a variety of machine learning techniques (i.e., clustering, decision tree learning, artificial neural networks) and their real-world advantages/drawbacks.
• Knowledge and experience in statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis) and experience with applications.
• Experience querying databases and competence in statistical and programming languages (e.g., R, Python/Perl, HTML, BASH, SQL); experience with cluster computing.
• Develop, improve, modify, and operate data analysis pipelines.
• Use or implement current open source software in conducting data analysis.
• Strong analytical and problem-solving skills.
• Ability to document work performed, especially in support of publishing scientific results and to enable software re-use and robustness.
• Excellent communication skills and ability to work with others to accomplish goals.
• Develop and maintain effective working relationships with researchers at all levels; and work closely with Dr. Aouizerat to conduct custom complex data analyses.
• Strong problem-solving skills
• Able to work independently, and as part of a team.

Desired Skill:

• Excellent oral and presentation skills and ability to coordinate across teams.
• Experience in developing software.
• Knowledge, background, or experience in molecular biology or similar discipline.  
• The successful candidate will be able to prioritize and balance multiple projects to meet timelines.
• A drive to learn and master new technologies and techniques.
• Experience creating and using advanced machine learning algorithms and statistics (e.g., simulation, scenario analysis, modeling, clustering, decision trees).
• Experience using web services (e.g., Redshift, S3, Spark, DigitalOcean).
• Experience with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL)
• Experience visualizing/presenting data for stakeholders using (e.g., Periscope, ggplot)

PHYSICAL REQUIREMENTS AND ENVIRONMENTAL CONDITIONS

The physical requirements and environmental conditions of this position consist primarily of:

• Continuous mental and visual attention, requiring sustained attention and observation
• Ability to work at a PC monitor for most of the work day

Applicants should submit: 1) Cover letter; 2) Curriculum Vitae; and 3) Names and contact information of at least two professional references. To access the application, please click the "Apply Now" button located on the right.

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