Columbia University - College of Physicians and Surgeons

Dept. of Medicine | Division of Nephrology | A-Z Index

Kiryluk Lab

Lab Members

Krzysztof Kiryluk, MD, MS

Principal Investigator
Associate Professor of Medicine

Columbia Profile

Atlas Khan, PhD

Instructor in Medical Sciences

Lili Liu, PhD

Associate Research Scientist

Ning "Sunny" Shang, PhD

Associate Research Scientist

Katherine Xu, PhD

Post-doctoral Research Fellow

Chen Wang, PhD

Post-doctoral Research Scientist

Francesca Zanoni, MD

Post-doctoral Research Scientist

Junying Zhang

Analyst

Cecilia Berrouet

Lab Manager

German Varela

KPMP Lead Coordinator

Lab Meeting Schedule

Kiryluk Lab Meeting Schedule

Lab Alumni

Karla Mehl, MD
Clinical project manager and bioethics consultant at Toolbox Medical Innovations

Olivia Balderes, MS
Program Manager at NYC Health + Hospitals

A. Fatih Ozay, MD candidate
Completing residency in pathology at SUNY Downstate Medical Center

Yael Dana Neugut, MD candidate
Completed MS in Biostatistics, attending Medical School at Columbia University

Sanya Goswami, MD candidate
Attending CUNY/Sophie Davis School of Biomedical Education

Jaclyn Wold, MD candidate
Attending Rutgers New Jersey Medical School

Nikol Mladkova, MD, PhD, MPH
Completing residency in Radiation Oncology

Drew Bradbury
Applying to a Medical School

Raphael Rosen, MD candidate
Attending Medical School at Columbia University

Samantha Shapiro, MD
Completing residency in Internal Medicine at Mt. Sinai Hospital

Clara Fischman, T35 Student Scholar
Completing medical school at Mt. Sinai

Robert A. LeDesma, PHD candidate
Completing PHD Program at Princeton University

Monica Bodria, MD
Research Faculty Position, University of Bologna

Justin D'Addario, MD candidate, ASN Student Scholar
Completing MD Program at Stony Brook University

Zahida Drace, MD
Completing PHD Program at the University of Turin

Vladimir Bernstein, MD candidate
Completing MD Program at the University of Hawaii

Collaborating Labs

Gharavi Lab
Sanna-Chierchi Lab
Novak Lab
Califano Lab
Ionita-Laza Lab
Tantonetti Lab

Open Positions

I. Statistical Genetics & Computational Biology: Analyst or Post-doctoral Research Scientist

We seek motivated, independent but team-oriented scientists with experience in the statistical analysis of human GWAS and Next Generation Sequencing data. Our research broadly involves human genetic investigations of kidney disease and is directly relevant to clinical medicine. The applicant will be involved in the analysis of different types of genetic datasets, including exomes, genomes and transcriptomes. Requires relevant experience in biostatistics, statistical genetics, bioinformatics, computational biology, genetics or similar field of study. Graduate degree preferred and may substitute in part for experience. Strong programming skills in Unix shell scripting as well as R, Perl, Python, or similar are a plus. Experience needed in GWAS and NGS data analysis, proficiency with PLINK and R statistical analysis, exposure to exome and RNA sequencing, familiarity with the tools for genome and transcriptome interpretation, familiarity with the statistical principles and methods relevant to computational genomics, exposure to disease association studies, population genetics and/or functional genomics. Must be collaborative and able to work in a fast-paced environment with an ability to multitask. Individual must be team oriented, possess excellent written and verbal communication skills, as well as be able to demonstrate strong creative thinking and problem solving skills. Columbia University is an Equal Opportunity/Affirmative Action employer.


II. Functional Genomics and Modeling Effects of Genetic Variants: Post-doctoral Research Scientist or Associate Research Scientist

We are seeking an independent but team-oriented scientist with experience in experimental studies of human genetic variants. Our research broadly involves human genetic investigations of kidney disease and is directly relevant to clinical medicine. The applicant will be involved in designing and executing laboratory experiments to uncover the impact of specific gene variants on gene function by in vitro and in vivo studies. Requires relevant experience in immunology, cell biology, and animal models of immune kidney disease. Graduate degree in the relevant field of studies is required. Additional skills in bioinformatic and statistical data analysis are a plus, as are the following: exposure to WES, GWAS, RNA-seq, single cell sequencing, gene editing, general familiarity with the tools for genome and transcriptome interpretation, and familiarity with statistical principles and methods relevant to computational and functional genomics. Must be collaborative and able to work in a fast-paced environment with an ability to multitask. Individual must be team oriented, possess excellent written and verbal communication skills, as well as be able to demonstrate strong creative thinking and problem solving skills. Columbia University is an Equal Opportunity/Affirmative Action employer.

For more information, please contact Krzysztof Kiryluk: kk473@columbia.edu.

Graduate Students

The following students willing to conduct human genetic and genomic research could apply to become members of the Kiryluk Lab:

  • Students enrolled in the MD program at the College of Physicians & Surgeons (short-term summer and one-year training programs are available)
  • Students enrolled in the PhD program at Columbia University (short term electives and full PhD training options)
  • Students in the joint MD-PhD program
  • Students within a Master's program in the Department of Biomedical Informatics (DBMI)
  • Students within a Master’s program in Biostatistics at the Mailman School of Public Health

Contact: Krzysztof Kiryluk at kk473@cumc.columbia.edu.