The Center for Immune Oncology (CIO) at the Dana Farber Cancer Institute (DFCI) seeks a highly motivated Scientist II to support advanced analytics and data integration efforts across imaging, spatial proteomics, and high-dimensional cytometry data. The successful candidate will play a key role within the team in processing, analyzing, and modeling complex biomedical data - integrating spatial imaging, CyTOF, and clinical data - to enable discovery and translational research collaborations within the CIO.

Environment and Opportunities



The position offers opportunities to collaborate across a diverse set of projects within the Center for Immuno-Oncology (CIO), working closely with experts in computational biology, immunology, and clinical research. The Scientist II will sit within the Department of Data Science (DS) and be mentored by faculty directors from both CIO and DS. They will contribute within a small team to data-driven discovery, developing robust and scalable analytic tools for translational research.

Key Duties and Responsibilities

? Perform imaging and image analysis for spatial proteomics and multiplexed imaging datasets.
? Conduct CyTOF and FCS data analysis, including data preprocessing, normalization, clustering, and visualization.
? Analyze medical record data, integrating structured and unstructured clinical information as appropriate.
? Manage and wrangle large, multimodal datasets, including high-resolution images and patient-level data.
? Support database integration, including interoperability and linkage with REDCap and other institutional data systems.
? Provide analytic and statistical support for CIO projects - emphasizing development of custom models, analytical pipelines, and reproducible outputs for collaborative teams.
? Develop and deliver high-quality graphics and visualizations to communicate findings effectively to both scientific and clinical collaborators.

Required Skills and Qualifications

? Experience working in computational biology. Human immuno-oncology research in an academic or industry setting analyzing clinical trial biomarkers is a plus.
? Hands-on experience with image analysis and processing, particularly in biological or clinical imaging contexts.
? Proficiency in R and/or Python, with experience in reproducible data analysis workflows.
? Demonstrated ability in data wrangling, transformation, and integration of heterogeneous data sources.
? Understanding of statistical modeling and computational methods for large datasets.
? Experience working in Unix/Linux cluster environments, using Git/GitHub, and containerized workflows (e.g., Docker, Singularity).
? Proficiency with reproducible research and reporting tools such as Jupyter, R Markdown, Quarto, and Posit Connect (or similar).
? Strong communication and collaboration skills, including ability to document, present, and explain complex analyses to multidisciplinary teams.

Preferred Qualifications

? Advanced degree (PhD) preferred in computational biology, data science, bioinformatics, biostatistics, biomedical engineering or a related field.
? Experience with spatial omics, single-cell data, or multimodal integration in human disease contexts.
? A good working knowledge of molecular and disease biology, especially familiarity with immunology.
? Familiarity with medical informatics, clinical data standards, or REDCap API/database programming.

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.
 

Primary Duties and Responsibilities

• Demonstrates potential for technical proficiency, scientific creativity, collaboration with others and independent thought.
• Works on problems of moderate to large scope in which analysis of situation or data requires a review of identifiable factors.
• Exercises judgment within defined procedures and practices to determine appropriate action.
• Works under minimal supervision. Wide latitude for independent judgment

Knowledge, Skills and Abilities

• Highly-skilled with extensive proficiency.  Works on complex projects related to field.

Minimum Job Qualifications

• Advanced degree preferred.
• Six to nine years experience post undergraduate degree.
• One to two year work experience post education.

License/Certification/Registration Required: None

Supervisory Responsibilities:

• May assist less-experienced peers.

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.  

EEO Poster

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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).

$85,000.00 - $104,650.00