Join us
We welcome motivated scientists at different career stages to join us! Prospective postdocs, graduate and undergraduate students (Pitt, CMU, and others), and staff can inquire with Dr. Yu-Chiao Chiu (YUC250 at pitt.edu) with their curriculum vitae, one-page summary of research experience and interests, and contact information of three references.
Individuals from underrepresented minorities or disadvantaged backgrounds are particularly encouraged to apply. The University of Pittsburgh School of Medicine is ranked #5 in NIH funding. Pittsburgh has been consistently voted as one of the top livable cities in the US.
Current opening:
🔖Postdoc Associate in Cancer Bioinformatics
Has recently earned a PhD degree in bioinformatics, computational biology, biomedical/electrical engineering, computer science, or a related field.
Engages in bioinformatics research to systematically understand the biology of adult and pediatric cancers, to identify diagnostic and prognostic biomarkers, and to improve cancer therapy.
Works on high-throughput genomic and pharmacogenomic datasets generated at the bulk and single-cell levels.
Builds cross-disciplinary collaborations with clinical, translational, and basic scientists in order to bridge cutting-edge computational algorithms to unmet needs in precision oncology.
Receives dedicated mentorship on career development planning, career development awards, and postdoctoral fellowships such as the Hillman Postdoctoral Fellowships for Innovative Cancer Research.
More information: https://postdocjobs.pitt.edu/ViewPost.aspx?q=28
Apply here: https://cfopitt.taleo.net/careersection/pitt_faculty_external_pd/jobdetail.ftl?job=22005468
🔖Bioinformatics Scientist
Master's degree with at least five years of relevant experience. Equivalent combination of education and experience may be substituted for the education/experience requirement.
Strong experience with integrated analyses of high throughput ‘omics’ datasets (RNA-seq, whole exome sequencing, whole genome sequencing, etc.) is preferred.
Strong experience in applying machine learning to multi-omics and public cancer datasets, such as TCGA, CCLE, GDSC, DepMap, cBioPortal, etc., is preferred.
Proficiency in Python, R, Perl, and/or MATLAB, and shell scripting in a Linux environment is required. Experience in using high performance computing, Docker, and MySQL is preferred.
Experience in single-cell imaging and/or omics, and in-depth knowledge in molecular and cancer biology are highly preferred.
Track record of research and creativity as demonstrated by publications and conference presentations as a first/co-first author is highly preferred.
Experience in a highly collaborative environment and a track record of published high-impact collaborative research is desirable.
Strong skills in interpersonal/cross-disciplinary communication and scientific writing are essential.
Apply here: https://cfopitt.taleo.net/careersection/pitt_staff_external/jobdetail.ftl?job=22009189
Closed opening:
🔖Research Professional (temporary position)
Undergraduate student with required 1-2 years of research experience in bioinformatics labs.
Participates in research projects to develop computational database and framework that provide insights to cancer therapy.
Must be proficient in multiple programming languages, such as R, Python, and Java, and have strong knowledge in cancer biology and genomics.
Experience in building interactive R Shiny apps, handling high-throughput drug and genetic screening datasets, preparing scientific abstracts and/or manuscripts, and web development is highly desired.
🔖Research Professional - Bioinformatics (temporary position)
Has recently earned a baccalaureate degree in computational biology, electrical/computer engineering, computer science, biomedical engineering, biological sciences.
Participates in research projects of AI applications to understanding cancer biology and improving cancer therapy and will receive dedicated mentorship on research projects and skills.
Proficient in at least one of the programming languages: R, Python, or MATLAB.
Experience in bioinformatics, genomics, machine learning, and/or cancer research is highly desired. Experience in high-performance research computing (e.g., Pitt CRC), handling high-throughput biological datasets, and web development is preferred.
Hybrid work approach - both remotely and in the dry lab at the UPMC Hillman Cancer Center (Shadyside).
Our lab space