Research Lab Tech I, Pathology

* You will be based in Dr. Sandro Santagata's laboratory and collaborate closely with Dr. Peter Sorger's multidisciplinary team at Harvard Medical School's (HMS) Laboratory of Systems Pharmacology (LSP) (https://www.tissue-atlas.org/), as well as with members of Ludwig Cancer Research, the David Liposarcoma Research Initiative, the Bertarelli Rare Cancer Initiative and the Pituitary Neuroendocrine Tumor Translational Research (BioPitNeT).

* Engage with a vibrant network of scientists, physicians, chemists, and computational biologists across institutions including BWH, HMS, Massachusetts General Hospital, Dana-Farber Cancer Institute, Boston Children's Hospital, and the Ludwig Center at Harvard, as well as collaborators nationwide.

* Contribute directly to research that informs innovative clinical trials for immunotherapy and targeted therapies for sarcomas, gliomas, carcinomas, and neuroendocrine-related tumors. Investigate disease mechanisms and pharmacodynamics (PD) to support biomarker and drug development. Opportunities are also available to participate in studies of pulmonary and renal diseases.

This is an outstanding opportunity to be part of a dynamic, multidisciplinary team at the forefront of quantitative biology and translational pathology. You will gain hands-on experience with high-dimensional pathology imaging, molecular assay development, data processing, computational analysis, and visualization, while contributing to high-impact translational research that can change how cancers and other diseases are diagnosed and treated.

If you are a self-motivated individual with a passion for innovative biomedical research and collaborative projects, we encourage you to apply and become a key member of our vibrant team.

Qualifications:

• Bachelor's degree in a quantitative discipline, such as chemistry, biological chemistry, chemical biology, biophysics, biomedical engineering, or a related field.
• Demonstrated interest in biomedical research, molecular measurement, and human disease.
• Willingness to commit to a two-year position and grow in a dynamic research environment.

Skills/Abilities/Competencies Required:

• Experience or strong interest in microscopy, molecular or biochemical assays, quantitative biology, or data analysis is highly valued.
• Strong background in biochemistry or biological chemistry, including understanding of protein structure-function relationships, antibody-antigen interactions, and molecular binding principles, is important for the design, optimization, and interpretation of multiplexed tissue imaging assays.
• Familiarity with or interest in quantitative image analysis and data science tools (e.g., Python, R, MATLAB, ImageJ) is preferred.
• Strong communication skills and the ability to work both independently and collaboratively within a multidisciplinary research team.