Data Analyst

Grade 103

• Job Type: Officer of Administration
• Bargaining Unit:
• Regular/Temporary: Regular
• End Date if Temporary:
• Hours Per Week: 35
• Standard Work Schedule: M-F 9am-5pm
• Building:
• Salary Range: $58,500.00 - $63,000.00 annually
  
  

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.

• Job Type: Officer of Administration
• Bargaining Unit:
• Regular/Temporary: Regular
• End Date if Temporary:
• Hours Per Week: 35
• Standard Work Schedule: M-F 9am-5pm
• Building:
• Salary Range: $58,500.00 - $63,000.00
  
  

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.

Position Summary

Columbia University Vagelos College of Physicians and Surgeons is seeking Data Analyst for the Program for Hospital and Intensive Care Informatics (PHICI). PHICI is a multi-disciplinary program focused on developing and providing sustainable support and leadership for transformative medical Artificial Intelligence (AI) research, education and clinical applications to advance patients’ health in critical and acute care medicine. The Program addresses an unprecedented opportunity for world-leading, immersive research in AI, the innovation to transform diagnoses, and to monitor and treat critically and acutely ill patients using the multimodal clinical research resources stemming from New York-Presbyterian Hospital.

PHICI is seeking a Data Analyst to assist our transdisciplinary team in conducting cutting-edge research in medical artificial intelligence. Successful applicants will work under a large funded research portfolio. This position is expected to work under the supervision of the Principal Investigator (Soojin Park) and in collaboration with the PHICI research team.

Responsibilities

• Manage multicenter Federated Learning project (RhinoHealth, NVIDIA FLARE), develop and maintain data pipelines and workflows, develop and maintain technical documentation and provide technical support.
• Support data acquisition, storage, and analysis of critical care data types:
• Extraction, transform and load of structured data to Common Data Model (OMOP) for critical care AI datamart.
• Imaging data (DICOM)
• Electrophysiology data (EEG)
• OHNLP and tokenization of unstructured data (text)
• Help to manage and maintain PHICI research databases and servers (MS-SQL, Federated Learning kit, Azure).
• Develop and maintain analytical tools and applications (Python, R, Matlab, NVIDIA FLARE).
• Manage and maintain codes, data and model versioning (Github ).
• Monitor resource usage, hardware component integrity, and provide upgrade recommendations to PHICI leadership.
  
  

Minimum Qualifications

• Bachelor's degree or equivalent in education and experience.
  
  

Preferred Qualifications

• 0-2 years of experience.
• Quantitative background (Computer Science, Statistics, Biostatistics, Computational Biology, Applied Mathematics or Bioinformatics), and substantial experience in computational work and coding.
• In-depth knowledge of at least one flavor of data (genetics, transcriptomics, epigenetics, or proteomics) is preferred, and successful applicants will receive on-the-job training for other data modalities.
• Good knowledge of programming languages for implementing computational algorithms on large-scale data (R, Python, Perl), as well as experience working in Linux/Unix on high-performance computing/cluster platforms.
• Demonstrated programming skills.
• Demonstrated experience with building pipelines for at least one “omics” data modality (genetics, transcriptomics, epigenetics, proteomics).
• Strong organizational skills in managing large datasets.
• Programming experience in R, Python, Perl, or C/C++.
• Ability to work independently, display initiative within a team environment, and respond rapidly to requests.
  
  

Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.