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.

Postdoctoral Fellows will assist the Associate Director for Scientific Operations to develop and fulfill the scientific mission of the Center for Cancer Evolution (CCE). The principal mission of the CCE is to develop and validate computational biology and mathematical modeling strategies of tumor evolution heterogeneity and treatment response and eventually utilize these strategies to identify best therapeutic interventions. We will investigate the treatment response of cancer cells and their microenvironment develop novel computational approaches and mathematical frameworks describing the evolutionary dynamics of tumor progression and treatment response that are parameterized using the experimental systems and predict and validate optimum intervention strategies that will ultimately be implemented as prospective clinical trials. We will also use bioinformatics pipelines and develop novel bioinformatics approaches to analyse data types such as single cell RNA sequencing data spatial transcriptomics data epigenetics data such as methylation and ATAC sequencing data and others. The CCE is looking for highly motivated and qualified Postdoctoral Fellows to investigate tumor evolution and heterogeneity using and creating bioinformatics approaches and mathematical models of tumor evolution and drug resistance in order to further the understanding of cancer evolution metastasis formation and emerging drug resistance.

Postdoctoral fellows will have the following responsibilities:

• Assist in the design and implementation of databases for the Center
• Write code and generate reports for the Center.
• Design and carry out analyses of datasets.
• Work directly with bench scientists in analyzing data generated from individual specific and global projects.
• Prepare reports and give presentations as needed.
• Interact with the Centers scientific collaborators and constituents and assist them with their projects.
• Assist in grant and manuscript preparation for the Center.

Reporting Relationship:

Associate Director for Scientific Operations

Qualifications for Postdoctoral Fellows are as follows:

• PhD degree.
• Background in applied or pure mathematics statistics bioinformatics or computational biology; and interest in cancer biology and work experience in probability theory and statistics are prefered.
• Knowledge of mathematical modeling and evolutionary theory as related to cancer biostatistics methods and bioinformatics software and the ability to create novel analysis platforms desired
• 3 years experience in statistical computing preferably in a biological research setting.
• Familiarity with multiple computing platforms and computer languages.
• Ability to work in a team setting.
• Willingness to work variable hours and days.

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 groups as protected by law.