Scientist II - Ogino Lab

8 months ago
Job ID
Hidden (24997)
full time


Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.


This person conducts complex programming and multi-level computational biology analyses using omics data from tumor and normal tissues.  This person provides bioinformatics consultation to biomedical researchers in the collection, management, interpretation, and analysis on high-throughput biological/clinical data with emphasis on next-generation sequence analysis.  This person needs to have good knowledge on a wide range of existing bioinformatics databases and tools as well as proficiency in programming languages such as Perl, Python, Java, R, and SAS.  This person also needs expertise in biostatistics, molecular biology, human genetics, the principles of experimental design, and laboratory experiences.  Excellent interpersonal and communication skills are essential, as are the abilities to work both independently and collaboratively and to meet deadlines and timelines.  This person serves as one of the Co-Leaders in the Molecular Pathological Epidemiology (MPE) Laboratory, manages big databases, leads data science projects, and supervises postdoctoral fellows and lab staff.



This person will:

  1. Conduct complex programming and multi-level computational biology analyses using omics data from tumor and normal tissues.
  2. Serve as one of the Co-Leaders in the MPE Laboratory, manage big databases, lead data science projects, and supervise postdoctoral fellows and other lab staff.
  3. Serve as a consultant to interpret complex biological information and to provide bioinformatics expertise in the analysis of experimental and observational data
  4. Communicate with other scientists to understand and obtain data analysis specifications
  5. Design data analysis project plans and estimate time to completion
  6. Work independently and as a team member to analyze data, developing software tools where necessary



  1. Familiar with genomic technologies and their applications, including experimental design considerations.
  2. Familiar with a wide range of biological databases and resources, including, but not limited to GenBank, EnsEMBL, the UCSC genome browser, Reactome, and other similar resources.
  3. Familiar with various bioinformatic and computational biology methods, including functional class enrichment and pathway analysis.
  4. Proficient in programming using SAS, perl/python/java/C++/R, statistical programming using R or related tools, web-development, and database query through SQL and ability to prototype software solutions for data analysis.
  5. Excellent communication skills.
  6. Leadership and management skills to serve as one of the Co-Leaders of the MPE Lab.


PhD in bioinformatics, computer science and/or the life sciences, and at least 4 years of postdoctoral research experience.



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.


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