Senior Research Coordinator

Columbia University in the City of New York; New York, Northern (NY, KY); Hybrid; USD 72.000 - 75.000; Vollzeit

Zusammenfassung

The SpeechCARE Lab, led by Maryam Zolnoori, PhD, at Columbia University in the City of New York, seeks a Senior Research Coordinator to support NIH/NIA-funded projects, including an R01. The role emphasizes AI, speech processing, NLP, large language models, and real-world healthcare deployment.

Collaboration spans clinical/EHR data, patient-clinician communication, multimodal AI, fairness analyses, and implementation science; a one-year minimum commitment is required for this position.

Qualifikationen

• Master's degree or higher in data science, health informatics, CS, biostatistics, computational linguistics.
• Strong Python programming and data preprocessing skills.
• Experience with transformer-based models and large language models.
• Excellent organization and communication; ability to work independently and in a team.

Aufgaben

• Manage, preprocess, QC, extract features from speech, transcript, clinical, and EHR data.
• Develop, fine-tune, and evaluate ML, NLP, speech-processing, transformer-based, and LLM models using Python.
• Support qualitative research, including interviews, summaries, and thematic analysis.
• Track milestones, timelines, deliverables, meeting notes, and follow-up tasks across study aims.
• Coordinate communication among investigators, staff, students, collaborators, and external partners.
• Assist with IRB materials, data-use documentation, reports, presentations, abstracts, manuscripts, and grant-related materials.

Kenntnisse

Python programming

Data preprocessing

Statistical analysis

ML workflows

Transformer models

Deep learning

Large language models

Communication

Teamwork

Reproducible research

Ausbildung

Master's degree or higher in data science, health informatics, CS, biostatistics, computational linguistics

Tools

Python

PyTorch

TensorFlow

scikit-learn

Jobbeschreibung

• Job Type: Officer of Administration
• Bargaining Unit:
• Regular/Temporary: Regular
• End Date if Temporary:
• Hours Per Week: 35
• Standard Work Schedule:
• Building:
• Salary Range: 72,000-75,000

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

The SpeechCARE Lab, led by Maryam Zolnoori, PhD, is seeking a motivated Senior Research Coordinator to support NIH/NIA-funded projects, including a recently funded R01. The lab focuses on AI, speech processing, NLP, large language models, and early detection of cognitive impairment in real-world healthcare settings.

Research environment: Collaborative, interdisciplinary team working with clinical/EHR data, patient-clinician communication, speech and language modeling, multimodal AI, fairness analysis, qualitative research, and implementation science. The lab has received national recognition through the NIA PREPARE Challenge.
At least one year commitment is necessary for this job.

Responsibilities

• Manage, preprocess, quality-control, extract features from, and document speech, transcript, clinical, and EHR data.

  Assist with developing, fine-tuning, and evaluating ML, NLP, speech-processing, transformer-based, and LLM models using Python or related tools.

  Support qualitative research, including interview guides, interviews, summaries, and thematic analysis.

  Track project milestones, timelines deliverables, meeting notes, and follow-up tasks across study aims.

  Coordinate communication among investigators, research staff, students, collaborators, and external partners.

  Assist with IRB materials, data-use documentation, reports, presentations abstracts, manuscripts, and grant-related materials.

Minimum Qualifications

• Master's degree or higher in data science, health informatics, computer science, biostatistics, computational linguistics, or a related field.

  Strong programming skills in Python; experience with data cleaning, preprocessing, statistical analysis, and machine-learning workflows.

  Experience with transformer-based models, deep learning, large language models

  Strong organization, written/verbal communication, independent work, teamwork, attention to detail, and commitment to reproducible research practices.

Preferred Qualifications

• Experience with speech, audio, transcript, electronic health record, or other healthcare data.

  Familiarity with research data management, IRB protocols, secure data environments, or NIH-funded research workflows.

  Prior experience working in an academic research lab or coordinating a federally funded research project.

  Interest in aging, cognitive impairment, health equity, AI in healthcare, speech processing, or real-world clinical implementation.

Other Requirements

• Submit a CV or resume, a brief cover letter describing relevant experience and research interests, two reference letters, and, if available, examples of research work.

Equal Opportunity Employer / Disability / Veteran

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