Temp-Data Analyst (R, Python, Perl) - Precision Medicine

Tarrytown, NY, United States
Oct 29, 2020
Required Education
Bachelors Degree
Position Type
As a Data Analyst in Precision Medicine you will help us with clinical trial data management and data analysis. This role encompasses exploratory analyses and visualization of omics, EHR, wearable sensor, image, and other biomarker data. This position requires the development of tools and dashboards for querying, visualizing, and cleaning data. We work with internal and external groups to assure data integrity, best practices for analytics and data visualization, architecting database solutions, and offering strategic insights to drive Precision Medicine objectives. To that end, Precision Medicine is looking for an individual who is detail oriented, organized, and has advanced computational and programming skills

A typical day may include the following:

Providing computational and technical expertise on data storage structures, data mining, data cleaning, and data visualization. You will use technical tools, language, or custom coding and systems analysis to clean data and select or create datasets for analysis.

Perform data mapping for systems integration, data provisioning, and data consumption using advanced knowledge of structured data, such as entities, classes, hierarchies, relationships, and metadata,

Collaborating closely with Precision Medicine Quantitative Translational Sciences to analyze data of all types, including but not limited to, transcriptome, biomarker, wearable sensor data, and exploratory trial endpoints.

Integrating complex datasets to perform statistical analysis on exploratory biomarker data and clinical endpoints, providing support across a range of Precision Medicine and biomarker studies.

Assist in the preparation of scientific presentations, manuscripts and reports, including tables and graphs depicting research results.

Understand data quality concepts and best practices and tools. Identify data anomalies and work with data stewards in other units to perform root cause analysis on data quality issues and develop policies and best practices. Troubleshoot issues with data and databases. Maintain and impart to systems and colleagues a deep appreciation for data organization (required).

This may be for you if:
  • You are self-directed and comfortable working on teams to operate independently within a deadline driven environment.
  • Have the ability to be agile and flexible in daily routines.
  • Have a knack for identifying areas of improvement.
  • Can multi-task and demonstrate strong organizational skills.

To be considered for this you should have a minimum of Bachelor's or Masters in Computer Science, Data Analytics, Statistics, Mathematics, Physics, Signal Processing, or a related field. Your experience should include 3+ years with high level data analysis and a working knowledge of clinical trials.

Other requirements include:
  • High proficiency with data cleaning and statistical & machine learning modeling in Python, R, MATLAB, C and/or C++ in a Linux environment.
  • Familiarity with webtool, API, and database development.
  • Strong attention to detail and curiosity of how digital technologies work.
  • Experience with statistical modeling/regression, time series analysis, machine learning and feature selection, and other relevant data blending abilities required.

Preferred skills would include:
Experience with areas such as Digital Signal Processing, detection, synchronization, channel coding/decoding, parameter estimation & tracking, (e.g., Fourier transform/wavelet transformations) a plus.

Does this sound like you? Apply now to take your first steps toward living the Regeneron Way! We have an inclusive and diverse culture that provides amazing benefits including health and wellness programs, fitness centers and stock for employees at all levels!

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or maternity status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. Please contact us to discuss any accommodations you think you may need.