Cedars-Sinai Clinical Research Data Specialist I - Smidt Heart Institute - Cheng Lab in Los Angeles, California
Our team in the Smidt Heart Institute includes clinicians, biostatisticians, and bioinformaticians focused on high impact cardiovascular clinical research. As a Clinical Research Data Specialist I, you will manage and analyze the data for assigned research studies. This will include designing pipelines for data collection, clinical data abstraction, processing data, maintaining record systems, and producing project reports for studies. Desired skills for processing medical imaging data include proficiency with Python and applicable packages, including OpenCV, Pydicom, SciPy, and PyTorch.
Essential duties and responsibilities:
Manages and analyzes data for research studies.
Processes clinical data using a range of computer applications and database systems to support cleaning and management of subject or patient data.
Designs pipelines for data collection and analysis.
Analysis of research data using PyTorch, Scipy, and applicable analysis applications and packages.
Maintains the accuracy, integrity and security of complex, large computerized records systems.
Participate in publications and presentations as an author.
Designs and performs experiments with colleagues and collaborators.
Participates in required training and education programs regarding protecting patient data, best practices with research integrity and applicable laws.
Understands regulations, policies, protocols and procedures to control and maintain accurate records.
Additional responsibilities include:
The opportunity to participate in making strategic data-related decisions by analyzing and manipulating data and building models to assist in the clinical and operational setting.
Create database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL).
Create sustainable data science infrastructure and adhere to data analysis/machine learning best practices.
Perform exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
Work with business partners to identify areas where data science can best deliver value.
Test and validate code to ensure the robustness of data applications.
Act as an advisor or thought partner to stakeholders by identifying issues for resolution, providing research expertise and summarizing findings.
Collaborate to problem solve and make decisions to achieve desired outcomes.
Establish effective working relationships with cross-functional team(s).
- BA/BS in Computer Science, Electrical Engineering, Physics, Math, Economics, Statistics, or equivalent is required
Essential skills include proficiency using Python, R, and SQL, including PyTorch, Tensorflow, and Scipy. CUDA experience desirable but not essential.
Relevant background experience includes clinical and/or statistical training or work experience.
In conjunction with a biostatistician, may perform complex statistical analysis for publication.
Cedars-Sinai is an EEO employer. Cedars-Sinai does not unlawfully discriminate on the basis of the race, religion, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age (40 or older), military and/or veteran status or any other basis protected by federal or state law.