The University of Texas MD Anderson Cancer Center
Postdoc in optical pooled screening at Columbia University
The University of Texas MD Anderson Cancer Center, New York, New York, us, 10261
Overview
Job Title:
Postdoc in optical pooled screening at Columbia University Job Number:
106738 Location:
New York, US The Gaublomme Laboratory is looking for an outstanding post‑doctoral associate to advance the use of our optical pooled‑screening platform, CRISPRmap, for spatially resolved investigations of gene function in vivo and in vitro—both in cancer and neuroscience contexts. The successful candidate will become part of an internationally collaborative scientific team. Ideal applicants possess expertise in microscopy, cell biology, genetics, and molecular biology, along with experience in computational or statistical data analysis. They will drive project design, execution, and interpretation, tailoring their contributions to the needs of our multidisciplinary groups. Qualifications
A Ph.D. in a life‑science discipline—such as biological engineering, biophysics, biochemistry, genomics, immunology, neuroscience, molecular or cell biology—or equivalent experience is required. What you’ll bring to the team A Ph.D. in a life‑science discipline (genomics, cancer biology, or neuroscience is especially desirable). Proficiency in Python programming. Hands‑on experience with genomic library construction—including RNA‑seq libraries—single‑cell genomics, and tissue processing. A proven track record of collaborating with a wide range of colleagues, such as scientists, engineers, administrators, and engagement managers from diverse backgrounds. Strong strategic and analytical thinking abilities. Effective leadership qualities and a genuine enthusiasm for mentoring peers. Excellent verbal and written communication skills, complemented by solid interpersonal and teamwork capabilities. A commitment to nurturing and sustaining a positive, vibrant lab culture. Your role includes
Work closely with the PI and trainees, providing mentorship and direction for projects centered on functional‑genomic technologies. Supervise day‑to‑day laboratory operations while engaging in advanced imaging, molecular biology and data analysis work. Execute and/or coordinate research initiatives, establishing and assessing novel laboratory methods. Operate both autonomously and cooperatively with team members to advance the lab’s scientific agenda. Instruct colleagues in technical procedures and intricate workflows. Together with the scientific teams, monitor project progress to keep them on schedule, develop detailed work plans, and produce regular reports required by funding agencies. Drive international collaborations, and present your work at conferences. Prepare publications for submission, lead review efforts and drive towards paper acceptance. Columbia University is a world‑leading research institution committed to harnessing the full potential of spatial genomics to reshape our understanding of cellular pathways, tissue‑level communication, and disease treatment. Our mission is to share discoveries, tools, methods, and data openly with the global scientific community. Application Deadline:
2026-03-29
#J-18808-Ljbffr
Job Title:
Postdoc in optical pooled screening at Columbia University Job Number:
106738 Location:
New York, US The Gaublomme Laboratory is looking for an outstanding post‑doctoral associate to advance the use of our optical pooled‑screening platform, CRISPRmap, for spatially resolved investigations of gene function in vivo and in vitro—both in cancer and neuroscience contexts. The successful candidate will become part of an internationally collaborative scientific team. Ideal applicants possess expertise in microscopy, cell biology, genetics, and molecular biology, along with experience in computational or statistical data analysis. They will drive project design, execution, and interpretation, tailoring their contributions to the needs of our multidisciplinary groups. Qualifications
A Ph.D. in a life‑science discipline—such as biological engineering, biophysics, biochemistry, genomics, immunology, neuroscience, molecular or cell biology—or equivalent experience is required. What you’ll bring to the team A Ph.D. in a life‑science discipline (genomics, cancer biology, or neuroscience is especially desirable). Proficiency in Python programming. Hands‑on experience with genomic library construction—including RNA‑seq libraries—single‑cell genomics, and tissue processing. A proven track record of collaborating with a wide range of colleagues, such as scientists, engineers, administrators, and engagement managers from diverse backgrounds. Strong strategic and analytical thinking abilities. Effective leadership qualities and a genuine enthusiasm for mentoring peers. Excellent verbal and written communication skills, complemented by solid interpersonal and teamwork capabilities. A commitment to nurturing and sustaining a positive, vibrant lab culture. Your role includes
Work closely with the PI and trainees, providing mentorship and direction for projects centered on functional‑genomic technologies. Supervise day‑to‑day laboratory operations while engaging in advanced imaging, molecular biology and data analysis work. Execute and/or coordinate research initiatives, establishing and assessing novel laboratory methods. Operate both autonomously and cooperatively with team members to advance the lab’s scientific agenda. Instruct colleagues in technical procedures and intricate workflows. Together with the scientific teams, monitor project progress to keep them on schedule, develop detailed work plans, and produce regular reports required by funding agencies. Drive international collaborations, and present your work at conferences. Prepare publications for submission, lead review efforts and drive towards paper acceptance. Columbia University is a world‑leading research institution committed to harnessing the full potential of spatial genomics to reshape our understanding of cellular pathways, tissue‑level communication, and disease treatment. Our mission is to share discoveries, tools, methods, and data openly with the global scientific community. Application Deadline:
2026-03-29
#J-18808-Ljbffr