We are always looking for passionate people to join the lab! To inquire about possible openings in the Wu Lab, contact Dr. Wu (cwu@partners.org).

New Opening! Bioinformatics Analyst I

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We are seeking highly motivated and enthusiastic computational individuals who will work within an interdisciplinary team comprising computational scientists, data scientists, bioinformaticians, physicians, and biomedical scientists on immune-related projects in cancer. We are currently seeking a Bioinformatics Analyst with formal background in bioinformatics, computational biology, computer science, mathematics, physics, or statistics to focus on a joint effort in developing novel immunotherapeutic approaches to cancer treatment. The primary focus of the position will be analysis of data from high-throughput biological profiling technologies including bulk and single-cell sequencing and mass spectrometry.  

Projects may include:

  • Creation and maintenance of computational pipelines using publicly available and locally developed tools for analysis of patient data from immunotherapeutic trials
  • Combined analysis of data from repositories such as the The Cancer Genome Atlas project (TCGA) and Gene Expression Omnibus (GEO) with data generated in-house for generation of novel biological insights
  • Creation of pipelines for interpreting data from single-cell RNA-Seq experiments
  • Computational and statistical analysis of cancer genome and transcriptome sequencing studies
  • Packaging of tools using the Docker and Conda applications


The ideal candidate will have formal training and experience in analysis of high-throughput data using statistical or machine learning methods, and strong programming skills. Prior knowledge of cancer biology or immunology is a plus. Software development experience is desirable but not required. Must thrive in an academic/professional atmosphere, where interdisciplinary teams are central to project success.



Highly motivated and skilled individuals with a Master's degree in bioinformatics, computational biology, computer science, mathematics, physics, computer science or engineering or comparable research or industrial experience. Ability to apply statistical and machine learning techniques to solve “big data” problems. Experience developing algorithms and proficiency in coding (C/C++, Perl, Python, JAVA, Scala or equivalent). Significant experience in data analysis languages/environments (R, MATLAB or equivalent) with a desire to focus on applications in computational biology. Ability to work in a highly collaborative and intellectually challenging environment, including excellent oral and written communication skills, to conduct both self-directed and guided computational research. 

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law.