Columbia University - College of Physicians and SurgeonsLab Members
Krzysztof Kiryluk, MD, MS
Principal Investigator
Professor of MedicineSchedules
Lab Alumni
María Vanessa Pérez Gómez, MD, PhD
Head, Clinical Trials and Inherited Kidney Disease Unit at FJD. Assistan Professor Universidad Autónoma de Madrid.Francesca Zanoni, MD
Fondazione IRCCS Ca' Granda Ospedale Maggiore PoliclinicoKarla Mehl, MD
Clinical project manager and bioethics consultant at Toolbox Medical InnovationsOlivia Balderes, MS
Program Manager at NYC Health + HospitalsA. Fatih Ozay, MD candidate
Completing residency in pathology at SUNY Downstate Medical CenterYael Dana Neugut, MD candidate
Completed MS in Biostatistics, attending Medical School at Columbia UniversitySanya Goswami, MD candidate
Attending CUNY/Sophie Davis School of Biomedical EducationJaclyn Wold, MD candidate
Attending Rutgers New Jersey Medical SchoolNikol Mladkova, MD, PhD, MPH
Completing residency in Radiation OncologyDrew Bradbury
Applying to a Medical SchoolRaphael Rosen, MD candidate
Attending Medical School at Columbia UniversitySamantha Shapiro, MD
Completing residency in Internal Medicine at Mt. Sinai HospitalClara Fischman, T35 Student Scholar
Completing medical school at Mt. SinaiRobert A. LeDesma, PHD candidate
Completing PHD Program at Princeton UniversityMonica Bodria, MD
Research Faculty Position, University of BolognaJustin D'Addario, MD candidate, ASN Student Scholar
Completing MD Program at Stony Brook UniversityZahida Drace, MD
Completing PHD Program at the University of TurinVladimir Bernstein, MD candidate
Completing MD Program at the University of HawaiiCollaborating Labs
Gharavi Lab
Sanna-Chierchi Lab
Novak Lab
Califano Lab
Ionita-Laza Lab
Tantonetti LabOpen 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.
