Dana-Farber Cancer Institute
Senior Scientist, Computational Imaging and Data Analysis
Dana-Farber Cancer Institute, Boston, Massachusetts, us, 02298
The Center for Immune Oncology (CIO) at the Dana Farber Cancer Institute (DFCI) seeks a highly motivated
Scientist II or Senior Scientist
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 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.
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 physicians/researchers, and we work with amazing partners, including other Harvard Medical School‑affiliated hospitals.
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.
Qualifications
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.
Experience working in
computational immunology . 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.
Strong 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 the ability to document, present, and explain complex analyses to multidisciplinary teams.
Preferred Qualifications
Advanced degree (PhD or MS with substantial experience) is preferred in
bioinformatics, computational biology, data science, biostatistics, or a related field . 6+ years of experience post‑education and 1+ year of management responsibility.
Experience with
spatial omics ,
single‑cell
data, or
multimodal integration .
Familiarity with
medical informatics ,
clinical data standards , or
REDCap API/database programming .
Experience deploying or automating analytic pipelines in a collaborative or production environment.
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).
$95,000 - $125,100
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/Senior Scientist 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.
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.
EEOC Poster
#J-18808-Ljbffr
Scientist II or Senior Scientist
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 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.
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 physicians/researchers, and we work with amazing partners, including other Harvard Medical School‑affiliated hospitals.
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.
Qualifications
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.
Experience working in
computational immunology . 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.
Strong 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 the ability to document, present, and explain complex analyses to multidisciplinary teams.
Preferred Qualifications
Advanced degree (PhD or MS with substantial experience) is preferred in
bioinformatics, computational biology, data science, biostatistics, or a related field . 6+ years of experience post‑education and 1+ year of management responsibility.
Experience with
spatial omics ,
single‑cell
data, or
multimodal integration .
Familiarity with
medical informatics ,
clinical data standards , or
REDCap API/database programming .
Experience deploying or automating analytic pipelines in a collaborative or production environment.
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).
$95,000 - $125,100
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/Senior Scientist 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.
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.
EEOC Poster
#J-18808-Ljbffr