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Scientist II, Cancer Immunologic Data Commons
Dana-Farber Cancer Institute
Boston, MA
Full Time PTL Remote: 2-3 days remote/wk
The Department of Data Science seeks a Scientist II to lead the development of the Cancer Immunologic Data Commons at Dana-Farber. The Scientist II will work closely with the laboratories of Drs.Franziska Michor, Ethan Cerami, Catherine Wu, and Steve Hodi at DFCI to manage various bioinformatics aspects of immune-profiling tools and analyses. We are looking for exceptional candidates with strong project management, computational biology, and communication skills.
Dana-Farber Cancer Institute (DFCI) was awarded a five-year grant from the National Cancer Institute (NCI) as part of the Cancer Moonshot Project to build a Cancer Immunologic Data Commons (CIDC). NCI plans to conduct comprehensive profiling of tumor, blood, and fecal samples from NCI-sponsored immuno-oncology trials at four Cancer Immune Monitoring and Analysis Centers (Stanford, MD Anderson, Mt Sinai, and DFCI). The CIDC is responsible for building the database infrastructure, bioinformatics pipelines, and computational algorithms for the resulting profiling data and related clinical data, enabling integrated analysis across trials and sharing of all data by the larger immuno-oncology research community. The goal of the project is to enable systematic incorporation of biomarker studies in NCI-supported early immunotherapy clinical trials to better understand and predict which patients respond to certain immunotherapy treatments.
Requirements
• Lead a team (~6) of bioinformatics engineers and analysts.
• Manage communication and projects across multiple stakeholders: Dana-Farber investigators, Cancer Immune Monitoring and Analysis Centers, trial centers, and biopharmaceutical companies.
• Develop the bioinformatics analysis algorithms and pipelines for various high throughput profiling techniques.
• Conduct meta-analyses across different profiling techniques and across different immune-oncology trials.
Qualifications
• PhD degree in bioinformatics or related field, received within the last 5 years.
• 5+ years of research / working experience in bioinformatics and genomics.
• Able to effectively and independently manage complex projects in a time-sensitive environment
• Strong quantitative (statistics, computer science) and programming (Python & R) skills
• Familiar with version control (Git) and code documentation (e.g., Rmarkdown, Jupyter notebook) for reproducible research.
• Strong organizational, communication and interpersonal skills.
• Experience managing small teams or supervising direct reports.
• Good knowledge of cancer genomics and immunology.
• Experience with WES, RNA-seq, scRNA-seq, ATAC-seq, and TCR/BCR-seq data analyses and if possible with CyTOF, serum cytokine, IHC, and flow cytometry data analyses.
• Experience with workflow language such as Snakemake and nextflow.
• Strong interest in contributing to translational cancer research.
To learn more and apply, please visit: https://careers.dana-farber.org/_scientistii
About Dana-Farber Cancer Institute
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
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 groups as protected by law.
Dana-Farber Cancer Institute
Boston, MA
Full Time PTL Remote: 2-3 days remote/wk
The Department of Data Science seeks a Scientist II to lead the development of the Cancer Immunologic Data Commons at Dana-Farber. The Scientist II will work closely with the laboratories of Drs.Franziska Michor, Ethan Cerami, Catherine Wu, and Steve Hodi at DFCI to manage various bioinformatics aspects of immune-profiling tools and analyses. We are looking for exceptional candidates with strong project management, computational biology, and communication skills.
Dana-Farber Cancer Institute (DFCI) was awarded a five-year grant from the National Cancer Institute (NCI) as part of the Cancer Moonshot Project to build a Cancer Immunologic Data Commons (CIDC). NCI plans to conduct comprehensive profiling of tumor, blood, and fecal samples from NCI-sponsored immuno-oncology trials at four Cancer Immune Monitoring and Analysis Centers (Stanford, MD Anderson, Mt Sinai, and DFCI). The CIDC is responsible for building the database infrastructure, bioinformatics pipelines, and computational algorithms for the resulting profiling data and related clinical data, enabling integrated analysis across trials and sharing of all data by the larger immuno-oncology research community. The goal of the project is to enable systematic incorporation of biomarker studies in NCI-supported early immunotherapy clinical trials to better understand and predict which patients respond to certain immunotherapy treatments.
Requirements
• Lead a team (~6) of bioinformatics engineers and analysts.
• Manage communication and projects across multiple stakeholders: Dana-Farber investigators, Cancer Immune Monitoring and Analysis Centers, trial centers, and biopharmaceutical companies.
• Develop the bioinformatics analysis algorithms and pipelines for various high throughput profiling techniques.
• Conduct meta-analyses across different profiling techniques and across different immune-oncology trials.
Qualifications
• PhD degree in bioinformatics or related field, received within the last 5 years.
• 5+ years of research / working experience in bioinformatics and genomics.
• Able to effectively and independently manage complex projects in a time-sensitive environment
• Strong quantitative (statistics, computer science) and programming (Python & R) skills
• Familiar with version control (Git) and code documentation (e.g., Rmarkdown, Jupyter notebook) for reproducible research.
• Strong organizational, communication and interpersonal skills.
• Experience managing small teams or supervising direct reports.
• Good knowledge of cancer genomics and immunology.
• Experience with WES, RNA-seq, scRNA-seq, ATAC-seq, and TCR/BCR-seq data analyses and if possible with CyTOF, serum cytokine, IHC, and flow cytometry data analyses.
• Experience with workflow language such as Snakemake and nextflow.
• Strong interest in contributing to translational cancer research.
To learn more and apply, please visit: https://careers.dana-farber.org/_scientistii
About Dana-Farber Cancer Institute
Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
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 groups as protected by law.