Our research is dedicated to delineate mechanisms of proteomic and post-translational control in different tumor cell models and cancer patients. One major focus is the proteomic data mining and management, the genome-proteome association analysis and mutilayered data integration for studying human diseases such as cancer. Please see more details at for the introduction of the group.


We invite applications from PhD – MD/PhD scientists to join our laboratory. Candidate requirements include Ph.D or M.D./Ph.D. (already obtained or soon to be), a high degree of motivation in academic research, decent record of scientific accomplishments with publication(s) in peer-reviewed journals, and ability to work independently and as a team player with excellent communication and writing skills. Knowledge in bioinformatics and high-throughput data analysis (NOT necessary in Proteomics) is essential. Excellent experience in R programing, data visualization, strong experience in Perl or Python or Java etc. languages, and an open mind in learning Proteomics are desirable. The work experience in a Proteomics or a Systems Biology group is advantageous.


The research group is affiliated to The Yale Cancer Biology Institute (YCBI) which connects scientists from across Yale to study the common underlying causes of cancer. The research group is well equipped with the state-of-the-art mass spectrometers such as Orbitrap Fusion™ Lumos™ Tribrid™ (Thermo Fisher) and Xevo G2-XS System (Waters).


We offer excellent working conditions: a competitive salary, international working environment, and direct access to high quality, question driven proteomic data sets. First and co-first author publications on high impact journals can be expected.  The position is full time for 2 years with possibility to prolongation and it is available from January 2018. Salaries are according to Yale scale.


The following documents are obligatory for the application:

•          A cover letter with statement of motivation and a detailed description of the qualifications as described above

•          Curriculum vitae including a chronological list of publications

•          Two or three letters of recommendation should be organized by the applicant and sent by the referees.


Information and contact:

Please send the above materials to Dr. Yansheng Liu

Tel: +1 203-737-3853