Early Career Researcher Computational Technician

Job Details

Job ID:

450 Brookline Ave, Boston, MA 02215

Research Laboratory

Employment Type:
Full time

Work Location:
Onsite: 100% onsite


We are thrilled to offer a unique position for a highly motivated student to join our team at the Molecular Imaging Core at the Dana-Farber Cancer Institute as an early career researcher upon graduation. This role is an excellent entry point for anyone who is passionate about spatial multiomics data analysis and interested in graduate school in biomedical research. As a computational technician, you will work closely with a team of talented biologists in a collaborative and learning environment. This position provides a platform to work with cutting-edge technologies and contribute to the understanding of complex biological systems. We encourage all qualified candidates to apply and look forward to hearing from you!

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.


As a core Data Technician, you will be learning the following skills:

  • Implement pipelines for processing, analyzing, and interpreting spatial multiomics data, including single-cell quantification, gene expression profiling, and network analysis.
  • Work with large and complex imaging data sets, utilizing various machine learning, mathematic models, and other data analysis pipelines to derive insights and make data-driven decisions.
  • Collaborate with researchers and biologists to develop solutions that can improve our understanding of tumor microenvironment and cell-cell interactions.
  • Participate in the development of new spatial single-cell imaging data analysis techniques and software tools to improve data analysis speed and quality.
  • Communicate results and findings to various stakeholders, including researchers, biologists, and management team.


  • Completed Bachelor's Degree in a relevant field such as bioinformatics, math, physics, or computer science.
  • Proficiency in R or Python.
  • Excellent communication skills, with the ability to work collaboratively with researchers and biologists.
  • Strong problem-solving skills and attention to detail.
  • Ability to work independently, with a high level of self-motivation.

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong.  As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff.  Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

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 characteristics protected by law.

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