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.

Postdoctoral Fellows

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-2020” in the subject line.

Graduate Students

We are looking for exceptional MS/PhD students from a variety of backgrounds. 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. Feel free to reach out to us directly with questions.

Undergraduate Students

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 reference, and unofficial/official transcript.

Software engineers & Data scientists

We are recruiting software engineers and data scientists.

  • PhD/MS in Computer Science, Artificial Intelligence, Machine Learning or related technical field.
  • Technical qualifications: modeling, hypothesis testing and machine learning, programming languages including at least Python, R, and MATLAB.
  • Experience on Unix or Linux.
  • Demonstrated work in academic environment with data from multi-omics datasets.
  • Strong passion, interest and quick learning abilities.
  • Strong oral and written communication skills.
  • Detail oriented with an initiative to drive tasks to completion.
  • Ability to work well in a group and independently with minimal supervision.
  • Bonus Qualifications

  • Experience with TensorFlow, Keras or another deep-learning framework
  • Background in computational biology, applied mathematics or statistics
  • Experience with life science, single-cell multi-omics data or big data
  • Expertise in specialized areas such as optimization, natural language processing, reinforcement learning, probabilistic inference, information retrieval or recommendation systems
  • Knowledge of public bioinformatics databases and tools
  • Familiarity with big data technology stack (e.g., Hadoop, Spark, Hive, HDFS etc.)
  • Experience with AWS
  • Please email Hatice with your CV, interests, and contact information for three references.

    Email: osmanbeyogluhu AT pitt DOT edu