Dana-Farber Cancer Institute
Postdoctoral Research Fellow - Weeks Lab
Dana-Farber Cancer Institute, Boston, Massachusetts, us, 02298
Overview
The Dana-Farber Cancer Institute seeks a POSTDOCTORAL RESEARCH FELLOW under the Weeks Lab to work on a project related to predicting the risk of therapy-related blood cancers in patients who received chemotherapy and radiation. The Weeks laboratory is a collaborative environment that uses multidisciplinary approaches focused on early identification and risk stratification of blood cancers such as myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). Located within the Division of Population Sciences at Dana-Farber, the work involves diverse scientists and collaborations with division faculty experts in human genetics, modeling cancer risk, risk mitigation, early detection, prevention, and cancer care delivery. The primary project will be part of the CH CARE Study (Clonal Hematopoiesis Chemotherapy and Radiation Effects), a longitudinal effort launched in 2024 to predict and prevent therapy-related MDS/AML in survivors of solid tumors. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in cancer research and patient care. We strive to create an inclusive, diverse, and equitable environment and design programs to promote public health, particularly among high-risk and underserved populations. We conduct groundbreaking research, educate tomorrow\'s physician/researchers, and collaborate with Harvard Medical School-affiliated hospitals. Position Details
The postdoctoral fellowship work will focus on analysis of sequencing data from primary blood samples of cancer patients enrolled in the CH CARE Study before, during and after chemotherapy. Experience and interest in mutation calling from targeted next-generation sequencing, whole-genome sequencing, and whole-exome sequencing are preferred. Interest in clinical algorithm development and biostatistical coding in R or Python is a plus. The primary goal of this aspect of the CH CARE Study is to combine serial somatic and germline genetic data with clinical and demographic data to develop ML tools that predict clonal hematopoiesis associated outcomes in patients receiving cytotoxic anti-cancer therapy. During the position, the candidate will evaluate and integrate existing tools and databases into high-throughput pipelines and facilitate the display and distribution of processed data. The data generated may support novel clinical decision-making methods, identify novel biomarkers for drug discovery, and provide insights into hematopoietic biology through innovative analyses. The person hired will be expected to take the lead in writing abstracts, manuscripts, and grants stemming from their research efforts. Participation in bi-weekly laboratory meetings and collaboration with other lab members at various stages of training are critical to success. The primary project is a collaborative effort between investigators at Dana-Farber and The Broad Institute, with funding provided by the Edward P Evans Foundation for MDS. Motivated and productive candidates will find opportunities to develop additional collaborative projects involving human genetic data, human proteomics data, and clinical-genomic data sets. Responsibilities
A Ph.D. in bioinformatics, genetics, statistics, mathematics, physics, or computer science, or an MD with comparable research experience Considerable experience in computer programming and computational biological applications A strong background in statistics and biology; experience managing and curating large datasets and machine learning techniques is preferred Excellent oral and written communication skills and the ability to perform both self-directed and guided research Writing sample (700-800 words in English describing a recent research project) may be requested Candidates may be asked to present a 30-minute research presentation to lab members Must demonstrate outstanding personal initiative and the ability to work effectively as part of a team Must have the ability to meet deadlines and multitask efficiently Ability to collaborate across a range of individuals with varied experience levels and to communicate effectively Ability to seek mentorship and assistance as needed, and to mentor others Willingness to work in multi-disciplinary teams Knowledge, Skills, and Abilities Required
Cancer biology background and/or strong interest Experience in Python and/or R is preferred Experience with cloud computing is a plus Willingness to learn new languages and tools as the field grows Supervisory Responsibilities
This position may involve co-mentoring of students and other trainees, with opportunities to grow in developing multi-disciplinary, project-oriented teams. Funding and Support
This is a fully funded position that provides up to 2 years of postdoctoral salary with benefits. The candidate will be supported in pursuing career development funding applications, including NIH K-level funding or comparable foundation awards. However, support for the 2-year period is contingent upon performance and not the receipt of external funding. At Dana-Farber Cancer Institute, we work to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. We are committed to diversifying our faculty and staff. If this 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
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The Dana-Farber Cancer Institute seeks a POSTDOCTORAL RESEARCH FELLOW under the Weeks Lab to work on a project related to predicting the risk of therapy-related blood cancers in patients who received chemotherapy and radiation. The Weeks laboratory is a collaborative environment that uses multidisciplinary approaches focused on early identification and risk stratification of blood cancers such as myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). Located within the Division of Population Sciences at Dana-Farber, the work involves diverse scientists and collaborations with division faculty experts in human genetics, modeling cancer risk, risk mitigation, early detection, prevention, and cancer care delivery. The primary project will be part of the CH CARE Study (Clonal Hematopoiesis Chemotherapy and Radiation Effects), a longitudinal effort launched in 2024 to predict and prevent therapy-related MDS/AML in survivors of solid tumors. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in cancer research and patient care. We strive to create an inclusive, diverse, and equitable environment and design programs to promote public health, particularly among high-risk and underserved populations. We conduct groundbreaking research, educate tomorrow\'s physician/researchers, and collaborate with Harvard Medical School-affiliated hospitals. Position Details
The postdoctoral fellowship work will focus on analysis of sequencing data from primary blood samples of cancer patients enrolled in the CH CARE Study before, during and after chemotherapy. Experience and interest in mutation calling from targeted next-generation sequencing, whole-genome sequencing, and whole-exome sequencing are preferred. Interest in clinical algorithm development and biostatistical coding in R or Python is a plus. The primary goal of this aspect of the CH CARE Study is to combine serial somatic and germline genetic data with clinical and demographic data to develop ML tools that predict clonal hematopoiesis associated outcomes in patients receiving cytotoxic anti-cancer therapy. During the position, the candidate will evaluate and integrate existing tools and databases into high-throughput pipelines and facilitate the display and distribution of processed data. The data generated may support novel clinical decision-making methods, identify novel biomarkers for drug discovery, and provide insights into hematopoietic biology through innovative analyses. The person hired will be expected to take the lead in writing abstracts, manuscripts, and grants stemming from their research efforts. Participation in bi-weekly laboratory meetings and collaboration with other lab members at various stages of training are critical to success. The primary project is a collaborative effort between investigators at Dana-Farber and The Broad Institute, with funding provided by the Edward P Evans Foundation for MDS. Motivated and productive candidates will find opportunities to develop additional collaborative projects involving human genetic data, human proteomics data, and clinical-genomic data sets. Responsibilities
A Ph.D. in bioinformatics, genetics, statistics, mathematics, physics, or computer science, or an MD with comparable research experience Considerable experience in computer programming and computational biological applications A strong background in statistics and biology; experience managing and curating large datasets and machine learning techniques is preferred Excellent oral and written communication skills and the ability to perform both self-directed and guided research Writing sample (700-800 words in English describing a recent research project) may be requested Candidates may be asked to present a 30-minute research presentation to lab members Must demonstrate outstanding personal initiative and the ability to work effectively as part of a team Must have the ability to meet deadlines and multitask efficiently Ability to collaborate across a range of individuals with varied experience levels and to communicate effectively Ability to seek mentorship and assistance as needed, and to mentor others Willingness to work in multi-disciplinary teams Knowledge, Skills, and Abilities Required
Cancer biology background and/or strong interest Experience in Python and/or R is preferred Experience with cloud computing is a plus Willingness to learn new languages and tools as the field grows Supervisory Responsibilities
This position may involve co-mentoring of students and other trainees, with opportunities to grow in developing multi-disciplinary, project-oriented teams. Funding and Support
This is a fully funded position that provides up to 2 years of postdoctoral salary with benefits. The candidate will be supported in pursuing career development funding applications, including NIH K-level funding or comparable foundation awards. However, support for the 2-year period is contingent upon performance and not the receipt of external funding. At Dana-Farber Cancer Institute, we work to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. We are committed to diversifying our faculty and staff. If this 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
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