Bioinformatics Analyst I @ Dana-Farber Cancer Institute

image
Located in Boston, 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.

Working at Dana-Farber | Dana-Farber Cancer Institute

Overview

  • The Dana-Farber Cancer Institute seeks an Bioinformatics Analyst to perform analysis of new datasets generated in the context of clinically oriented cancer sequencing projects that advance efforts for precision (or “personalized”) cancer medicine.  The successful candidate will develop and support data processing and analysis tools, maintain datasets and databases, integrate tools and databases into existing high-throughput pipelines, and facilitate the display and the distribution of processed data.

These projects may include:

  • Prospective clinical sequencing to guide the care of cancer patients
  • Studies of resistance to targeted therapies and extraordinary responses
  • Studies of patient samples for tumor behavior and clinical outcomes
These projects involve collaborative efforts between Boston Children’s Hospital, the Dana-Farber Cancer Institute, and the Broad Institute.  The goals of these initiatives consist of analyzing sequencing data to determine the effects of genomic alterations and expression changes on clinical behavior, both retrospectively and prospectively.  The new data that emerge from these efforts could help identify novel approaches for genomics-driven 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.
  • The analyst will join a dynamic and multidisciplinary team of clinical and translational investigators. He/she will participate in the design and implementation of algorithms to analyze the data and integrate with other data sets including clinical outcomes data; work with faculty and staff computational biologists to develop the tools needed for manipulating and preparing data for display; coordinate the transfer of raw and analyzed data to external collaborators and data repositories; and help maintain, support, and document shared tools, code base, and data sets. As the software infrastructure evolves, this position will present diverse and flexible opportunities - from deeper and more complex software design problems, to becoming more involved in the bioinformatics and analytical aspects of predictive modeling.
  • Requirements:  A B.S. or M.S. in bioinformatics, mathematical, physical, or computer science, or comparable research experience, together with significant experience in computer programming and computational biological applications. A strong background in statistics and biology is preferred. Experience managing and curating large datasets and with machine learning techniques is desired. Excellent oral and written communication skills and the ability to perform both self-directed and guided research are essential. The candidate must demonstrate outstanding personal initiative and the ability to work effectively as part of a team. Ability to meet deadlines and efficiently multitask is a must.The mission of Dana-Farber Cancer Institute is to provide expert, compassionate care to children and adults with cancer while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases.

How to Apply

Read More/Apply

image

The Dana-Farber Cancer Institute seeks an Bioinformatics Analyst to perform analysis of new datasets generated in the context of clinically oriented cancer sequencing projects that advance efforts for precision (or “personalized”) cancer medicine. The successful candidate will develop and support data processing and analysis tools, maintain datasets and databases, integrate tools and databases into existing high-throughput pipelines, and facilitate the display and the distribution of processed data.