Associate Research Scientist

Details

Posted: 17-Feb-24

Location: New York, NY

Salary: Open

Categories:

Academic/Faculty

Internal Number: 121225

The Division of Neuroimmunology in the Department of Neurology at Columbia University Medical Center (CUMC) is a hub for large-scale clinical, translational, and basic human studies that integrate rigorous application of advanced laboratory techniques with cutting-edge computational methods and biostatistics. The division includes 10 faculty members, including 5 clinician-scientists and four staff scientists, with expertise ranging from biostatistics, neuroimaging, computational biology, statistical genetics, and molecular biology. We are looking to add another biostatistician to our team. Thematically, we pursue projects related to Alzheimer’s disease, Multiple Sclerosis, neurodegeneration, cognitive resilience and immune and brain aging. The team member in this position will collaborate with the division’s faculty members to design new studies and contribute to the execution of the analysis plan of ongoing studies; she/he/they will also have the opportunity to develop independent projects. Teaching the division’s graduate students and post-doctoral fellows is encouraged. The nature of projects will vary widely (based on lead investigator) but frequently involves high-dimensional data generation, and so experience working with transcriptomics or other omics data is a plus, as is working closely with clinicians and computational biologists. Projects are typically performed in teams which assemble the requisite expertise among the division’s scientists.

Minimum qualifications

• PhD or equivalent in biostatistics-related field (biostatistics, computational biology, computational neuroscience)
• Excellent interpersonal, organizational, writing, and verbal communications skills
• Ability to work in a fast-paced environment with demonstrated ability to manage multiple and competing demands and establish priorities

Preferred Qualifications

• Proficiency in several statistical software platforms/programming languages (R or Python most preferred)
• Experience in human data analysis, particularly longitudinal data and causal modeling
• Experience with executing milestone-driven projects
• Ability to evaluate and deploy new methods as they emerge
• Post-doctoral fellowship or equivalent work experience of more than two years

Hiring Salary Range: $80,000 – $115,000.

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.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

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.

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About Columbia University
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.
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