Research Lab Tech I, Pathology
Brigham & Women's Hospital(BWH)

GENERAL SUMMARY/ OVERVIEW STATEMENT:

Join the Santagata Lab at Brigham and Women's Hospital (BWH) as a Technical Research Assistant I

We are looking for a talented individual to join our team in using cutting-edge molecular tissue imaging methods to study tumor development and therapy resistance in patient samples across various cancers. This role offers an outstanding opportunity to work at the intersection of research and clinical applications, contributing to the development of new cancer therapies and diagnostics.

• You'll be based in Dr. Sandro Santagata's lab 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/) and with members of the David Liposarcoma Research Initiative, Ludwig Cancer Research, and the Gray Foundation

• Engage with a vibrant network of scientists, physicians, and computational biologists across institutions including BWH, HMS, Massachusetts General Hospital (MGH), Dana-Farber Cancer Institute (DFCI), and the Ludwig Center at Harvard.

• Contribute directly to research that informs innovative clinical trials for immunotherapy and targeted therapies for sarcomas and carcinomas (including ovarian and breast).

This is an outstanding opportunity to be part of a dynamic multidisciplinary team at the forefront of quantitative biology, working on groundbreaking projects in cancer research. You'll gain hands-on experience with high-dimensional pathology imaging, data analysis, and visualization - all while contributing to high-impact translational research that can change the way cancers 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.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

1. Lead experiments using advanced tissue-based imaging techniques, such as CyCIF and Orion multiplexed immunofluorescence assays, to investigate tumors. This work will involve collaborating closely with post-doctoral fellows and research scientists to define the direction and objectives of the projects and to develop large-scale public resources to support the wider research community.

2. Design and optimize antibody panels, apply them to mouse models and patient samples, and analyze high-dimensional imaging data to uncover new insights into tumor biology.

3. Implement methods such as spatial transcriptomics to generate multi-modal datasets, aimed at revealing mechanisms of drug response and potential new therapeutic targets.

4. Present research findings at lab and group meetings and engage in weekly collaborative data review sessions.

5. Help support routine lab maintenance tasks such as ordering supplies, maintaining equipment, and ensuring adherence to lab safety protocols.

6. Assist with training new lab members in imaging techniques, data analysis tools, and molecular biology methods, fostering a collaborative learning environment.

7. Stay up-to-date with relevant literature to inform experimental design and propose new approaches to address research challenges.

8. Troubleshoot experimental issues, optimize protocols, and suggest improvements to enhance the quality and efficiency of ongoing projects.

9. Collaborate with computational biologists to integrate imaging data with analytical pipelines, contributing to the generation of insights that support clinical trial design.

10. Prepare and contribute to scientific publications, supporting the communication of research findings to the scientific community.

Qualifications
QUALIFICATIONS:

• A motivated, intellectually curious individual with a Bachelor of Science degree in a quantitative field such as biomedical engineering.

• Someone ready to commit to a two-year position and eager to grow in a dynamic research environment.

SKILLS/ ABILITIES/ COMPETENCIES REQUIRED:

• Experience in microscopy, quantitative biology, and data science is highly valued.
• Proficiency with tools for quantitative image analysis MATLAB, Python, and ImageJ is preferred.
• Strong communication skills and the ability to work both independently and collaboratively within a multidisciplinary team is required.

EEO Statement
BWH is an Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

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