Dr. Andrew Hung is looking for a Research Data Scientist to join a diverse team!
The Research Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and/or application of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data processing, data cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and leading the communication of scientific findings via peer-reviewed publications and scientific conferences. Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.
Principal Responsibilities:
Leads the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
Leads with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j).
Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
Performs data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
Leads discussions with senior and/or lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
Tests and validates code to ensure robustness of data applications with version control through GitHub.
Performs all other duties as assigned.
Education:
Bachelor's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline - Required.
Master's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline- Preferred
Work Experience:
2 years of professional experience in healthcare or pharmaceutical industries working with biomedical data – Required.
2 years of Experience programming at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable – Required.
2 years of Experience programming at a basic to intermediate proficiency level in SQL – Required.
No experience required Experience in biomedical machine learning is preferred
Since its beginning in 1902, Cedars-Sinai has evolved to meet the healthcare needs of one of the most diverse regions in the nation, continually setting new standards for quality and innovation in patient care, research, teaching and community service.
Today, Cedars-Sinai is widely known for its national leadership in transforming healthcare for the benefit of patients.
Cedars-Sinai receives consistent recognition for our excellence. Our awards include; being named one of America’s Best Hospitals by U.S. News & World Report, receiving the National Research Corporation’s Consumer Choice Award 19 years in a row for providing the highest-quality medical care in Los Angeles, achieving the longest-running Magnet designation for nursing excellence in California, and being recognized as The Advisory Board Company’s 2017 Workplace of the Year, an award Cedars-Sinai has won three years in a row. This annual award recognizes hospitals and health systems nationwide that have outstanding levels of employee engagement.
Cedars-Sinai is a leader in the clinical care and research of heart disease, cancer and brain disorders, among other areas. Pioneering research achievements include using cardiac stem cells to repair damaged hearts, developing minimally invasive surgical techniques and discovering new types of drugs to target cancer more precisely.
Cedars-Sinai also impacts the future of healthcare through education programs that encompass everything from highly competitive medical residency and fellowship programs to a biomedical science and translational medicine PhD program, advanced training for nurses and educational opportunities for allied health professionals. Most notably, Cedars-Sinai demonstrates a longstanding commitment to strengthening the Los Angeles community through wide-ranging programs that improve the health of its most vulnerable residents.
