Research Technician - Spatial Transcriptome Comp Bio

Overview

Early Career Research Technician – Computational Biology/Bioinformatics

We are thrilled to offer a unique position for a highly motivated, recent college graduate to join our team at the Molecular Imaging Core at the Dana-Farber Cancer Institute as an early career researcher specializing in computational biology.

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 and the tumor microenvironment.

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.

MINIMUM JOB QUALIFICATIONS:

• Completed (or to be completed in May 2026) bachelor’s degree in a relevant field such as bioinformatics, math, data science, or computer science.
• Proficiency in R and Python.
• Comfortable working with Linux system.
• 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.

SUPERVISORY RESPONSIBILITIES:

No supervisory responsibilities. Normally receives detailed instructions on all work.

PATIENT CONTACT: None

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 committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate 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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Pay Transparency Statement

The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.

For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).

$47,500.00 - $51,300.00