Join Us !
We have open positions for enthusiastic students, postdoctoral fellow, software engineers and data scientists who would work on cutting-edge and clinically relevant problems in cancer biology using genome-wide methods and applied machine learning. A variety of techniques are used including RNA-seq, ATAC-seq, ChIP-seq, CUT&RUN-sequencing, Repli-seq, scRNA-seq, scATAC-seq and CITE-seq. Projects are in the areas of cancer systems biology, epigenetics of drug response, and immunotherapy and are executed through multi-disciplinary collaborations.
We are looking for detail-oriented, motivated and organized postdoctoral candidates with an outstanding work ethic. Ideal candidates have a background in computer science, machine learning, statistics, data science, and bioinformatics. Interested candidates should email Hatice with their CV, a summary of research interests and future plans, and contact information for three references. Please put the word “POSTDOC-APPLICATION-2023” in the subject line.
We are looking for motivated MS/PhD students from a variety of backgrounds with an outstanding work ethic. Students who are interested in computational biology, cancer and immunology are highly encouraged to reach out. A strong computational background is needed and experience in machine learning is desired. If you already are a University of Pittsburgh student, feel free to contact Hatice directly. Otherwise, consider the Biomedical Informatics, Bioengineering, Integrative Systems Biology and Computational and Systems Biology (CPCB) Ph.D. programs as well as the programs offered by the School of Medicine. Prospective graduate students should consider applying to any of the aforementioned programs, making sure to mention our lab in their applications. We are also interested in students who wish to be co-mentored with another lab, especially if their interests involve developing and applying novel machine learning methods to cancer and immunology or pursuing complementary wet-lab experiments. We are also happy to work with students as a member of their dissertation committee, especially if the research aligns with our lab's interests and may benefit from new computational methods.
Motivated undergraduate students who have an interest in gaining valuable computational biology skills to expand their knowledge of science outside of the classroom or to prepare for a future career in machine learning or bioinformatics. Computational background preferred, but ability to learn independently is most important. The position can be for credit and the starting date can be as soon as possible. Hours/time commitment is flexible. Email Hatice with your resume, two references, and unofficial/official transcript.
Undergraduate students are recommended to attend our weekly lab meetings on Monday at 12:30 PM and Friday at 3:30PM to learn about the on-going projects in the lab and potential research opportunities. E-mail (email@example.com) to get the Zoom link for the meeting.
Please email Hatice with your CV, interests, and contact information for three references.
Email: osmanbeyogluhu AT pitt DOT edu