Career Center

The Department of Pathology and Cell Biology at Columbia University Irving Medical Center seeks a highly qualified data scientistist with expertise in programming languages including C, Python, and R. Knowledge of CUDA is important. A background in engineering and/or computer science is preferred. Previous experiences in bioinformatics including aligning Fastq files to reference genome(s), performing single nucleus RNAseq analysis, and expertise in machine learning approaches for whole-slide imaging are required. 

At CUIMC, we stand together because diverse experiences, perspective, and values enrich every dimension of our work. Join our team and see how your unique skills and experiences can create a real impact by changing lives.
 

Job Function:

• Train machine learning algorithms on whole slide images from digital pathology to quantify neurodegenerative patholgogies.
• Perform all necessary steps for RNAseq analysis
• Perform all necessary steps for single nucleus RNAseq analysis
• Develop new methods for analysis of spatial transcriptomics
• Adapt and develop approaches for long read sequencing analysis

Lab Mission/Purpose:

Minimum Skills Required:

• CUDA, C, Python, R, CellRanger, SpaceRanger, QuPath, deep learning.

 Minimum Education Requirements:

• Bachelor's degree in specfic research field

Preferred Qualifications:

• Background in engineering and/or computer science
• Master's degree in computer science, data science or related field

Hiring Salary Range: 

• Staff Associate I: $60,000-$60,000

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.

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.

Connections working at Columbia University