The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
We are an innovative research entity in the Division of Cardiology and General Medicine looking for a highly organized, equity driven, detail-oriented and enthusiastic candidate to support the patient-oriented research portfolio of the Center for Behavioral Cardiovascular Health. We are looking for a data programmer who will be responsible for creating data capture mechanisms (i.e., working with various databases, such as RedCAP or Qualtrics), data organization, and data analysis; however, responsibilities will primarily concern data extracted from the electronic health record (EHR). The data will be used to evaluate the effectiveness of grant-funded interventions designed to improve cardiovascular and mental health outcomes in our diverse patients, including, building and testing. The ideal candidate is passionate about the intersection between digital technology, implementation science, and health research; a creative problem-solver who can think outside the box; and can recommend tools for efficient implementation of our various research protocols.
Organizing and analyzing data extracted from the electronic health record
Collaborating with informaticians and researchers to define and develop appropriate solutions for various research needs.
Applying a thorough and methodical approach to organizing and cleaning data
Structuring analytical results in an organized manner
Using effective written and verbal communication skills to present analysis and results to diverse stakeholders.
Implementing, testing, modifying and debugging programming code in R and other programming languages
Devising automation techniques
Assisting with data cleaning processes to create key variables datasets for statistical analysis
Performing other responsibilities as assigned, which may include tasks such as creating data capture mechanisms for self-report data (e.g., in RedCAP or Qualtrics), reports for NIH-funded studies, etc.
Bachelor???s degree in biostatistics or related field, plus 3 years of related experience or equivalent in education and experience required.
Master???s degree in biostatistics or related field
Experience with statistical analysis methods used in clinical trials and epidemiological studies
Familiarity with the Health Insurance Portability and Accountability Act (HIPAA), and experience working in an academic or health research environment
Team player with experience leading and collaborating cross-team to ensure successful delivery of solutions.
Experience with data analysis and professional software language (SAS or R)
Experience with API programming including, but not limited to, Qualtrics
Experience developing web/mobile-based apps for research data collection, or a good understanding of the app development process
Experience with building data visualizations and dashboards with Tableau, R, Shiny, D3.js or similar tools
Well-organized, proactive, extremely organized and detail-oriented with excellent time management skills.
Able to balance working independently and within a multidisciplinary team
Excellent interpersonal, and communication skills.
Able to multitask in a diverse and fast paced environment with frequently shifting priorities.
Able to demonstrate flexibility in workload/work hours to meet critical deadlines.
Strong commitment to equity, diversity, and inclusion.
Must successfully complete systems training requirements.
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.