Clinical Data Science Analyst (Temp Consultant)

Regeneron is advancing its pipeline portfolio using a data-driven human translational approach. As part of this initiative, the Precision Medicine team in Early Clinical Development & Experimental Sciences (ECD&ES) is integrated with Discovery Research and Clinical Development teams to promote early adoption of biomarker strategy to guide clinical translation. The team collaborates with Clinical Sciences colleagues to develop the clinical experimental sciences (CES) studies for generating clinically testable, mechanistic hypotheses for each molecule, including developing scientific rationale for initial and new indications for PoC. Precision Medicine leads the biomarker strategy and execution to achieve proof of mechanism/concept in early clinical trials. The team also implements Precision Medicine strategies, including patient stratification and selection, to support late-stage clinical programs and companion diagnostics. Our team includes Precision Medicine Strategy Leads, Precision Medicine Operations specialists, as well as Quantitative Translation and Companion Diagnostics scientists.

Precision Medicine is looking for a motivated individual who can help 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. The individual will work collaboratively 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.
 

As a temp Clinical Data Science Analyst, a typical day may include the following:

-  Provide computational and technical expertise on data storage structures, data mining, data cleaning, and data visualization. Use technical tools, language, or custom coding and systems analysis to clean data and select or create datasets for analysis

-  Possess advanced knowledge of structured data, such as entities, classes, hierarchies, relationships, and metadata, with the ability to perform data mapping for systems integration, data provisioning, and data consumption

-  Liaise 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

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

-  Experience with statistical modeling/regression, time series analysis, machine learning and feature selection, and other relevant data blending abilities required. Experience with areas such as Digital Signal Processing, detection, synchronization, channel coding/decoding, parameter estimation & tracking, (e.g., Fourier transform/wavelet transformations) a plus

-  Assist in the preparation of scientific presentations, manuscripts and reports, including the preparation of 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 role may be for you if:

-  Strong attention to detail and curiosity of how digital technologies work. Working knowledge of clinical trials

-  Self-directed and comfortable working on teams with the ability to work and operate independently within a tight deadline environment. High degree of creativity, latitude, and attention to detail required

-  Ability to be agile and flexible in daily routines

-  Excellent interpersonal skills, both in person and over the phone

-  Ability to understand processes and identify areas of process improvement.

-  Ability to multi-task, work on multiple projects, and demonstrate strong organizational skills

-  Teamwork: you must be able to communicate well with cross-functional team members, be able to efficiently collaborate with others to achieve project goals on short timelines and contribute positively to the Early Clinical Development and Global Development community

To be considered for this role, you must have a Bachelor's or Masters in Computer Science, Data Analytics, Statistics, Mathematics, Physics, Signal Processing, or a related field. Minimum 3 years work experience with high level data analysis. High proficiency with data cleaning and statistical & machine learning modeling in Python, R, MATLAB, and/or C/C++ required. Must be comfortable in a Linux environment. Familiarity with webtool, API, and database development.

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.

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