Overview

The Department of Breast Oncology at Dana-Farber Cancer Institute seeks a Senior Scientist to work on the generation of DNA sequencing, RNA sequencing and epigenetic sequencing datasets in the context of multiple clinically oriented studies in order to help advance efforts for precision cancer medicine. The Senior Scientist will report to the BOC Translational Research Director, Dr. Rinath Jeselsohn and staff senior director of cohort and translational studies. The Senior Scientist will be involved in cross-disciplinary efforts to generate large clinically-annotated datasets describing genetic changes across breast cancer and to develop sophisticated statistical and computational approaches to analyze these data. The aim of these efforts will be to characterize mutations by describing evolutionary dynamics and identifying mechanisms of resistance and predictors of therapeutic benefit. These new data could help identify novel approaches for personalized care in oncology. In addition, this data may provide support for new methods in clinical decision-making, biomarkers for rational drug development, and new insights into tumor biology through innovative analyses.

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.

Responsibilities

The ideal candidate for the Senior Scientist will specifically:

• Drive scientific projects by analyzing and interpreting large-scale and multidimensional omics datasets and clinical outcomes to advance translational science with immediate potential clinical application.
• Lead a group of multidisciplinary scientists (including computational biologists and other analysts) within the Breast Oncology Department and coordinate the pipeline of projects being undertaken in the department.
• Participate in the design and implementation of algorithms to analyze and integrate large data as well as the maintenance of datasets and shared tools.
• Train and mentor members of the BOC computational biology group in scientific development and propose analysis strategies.

The person hired for this position will join the team in this effort and will lead and participate in the design and implementation of protocols to generate the relevant molecular data and integrate with other data sets. This person will also lead in the maintainence, support, and development of sophisticated computational and statistical approaches that can be shared across analytic teams. As the department studies evolve, this position is likely to present diverse and flexible opportunities - from deeper and more innovative sequencing technology and assays.

This position will involve in significant mentoring of research associates and students joining the group as described above, as well other collaborative teams with computational biology experience across the Institute. There are opportunities for growth in developing multi-disciplinary teams that are project oriented.

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. 

Qualifications

• A Ph.D. in bioinformatics, computer science, computational biology and/or life sciences related discipline.
• 6 years experience post education.
• One year management responsibility a plus.
• Proven track record of related computational scientific work, preferably in cancer genomics with various sequencing data (WES, RNA-seq, scRNA-seq, etc).
• Expertise in cancer biology, next generation sequencing data analysis software, data integration, cloud computing, computer programming (R or Python), and statistics.
• Excellent analytical, organizational and management skills to prioritize multiple scientific projects and to supervise a group of interdisciplinary team members.
• Outstanding written and verbal communication skills, including significant experience with writing grant applications, manuscripts, reports, and developing presentations for cross-disciplinary audiences.
• Strong interpersonal skills to effectively collaborate with all levels of lab members, staff and external collaborators.

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.

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