Postdoctoral Research Fellow - Van Allen Lab

Postdoctoral Research Fellow - Van Allen Lab Dana-Farber Cancer Institute Boston, MA Full Time Overview

The Dana-Farber Cancer Institute seeks a POSTDOCTORAL RESEARCH FELLOW, under the Van Allen lab ((Use the "Apply for this Job" box below).) to work on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts for precision cancer medicine. As Dr. Van Allen is the Chief of the Division of Population Sciences, our research effort includes collaborative work with the division faculty members on identification of cancer risk, risk mitigation, early detection, prevention, delivery of cancer care and health policy.

The Van Allen lab is an interdisciplinary and highly collaborative laboratory with diverse scientists from various scientific domains leading exciting cancer research.
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.

The qualified candidate will focus on developing new algorithms, including agentic artificial intelligence approaches, for the clinical integration of integrative molecular profiling and large-scale datasets (e.g. pathology images and clinical notes) to enable new discoveries across multiple patient contexts. A specific focus on advancing algorithm development through emerging deep learning techniques is of strong interest. The candidate will also evaluate and integrate existing tools and databases into high-throughput pipelines, and facilitate the display and the distribution of processed data.

Related projects and responsibilities will include:

• Creation of artificial intelligence algorithms that effectively integrate molecular, pathology/image, and clinical data for prediction and biological discovery
• Prospective clinical sequencing to guide the care of cancer patients
• Studies of coding, non-coding, RNA, and spatial-based drivers of cancer development and treatment response
• Studies of patient samples for tumor behavior and clinical outcomes in context of immunotherapy

These projects are collaborative efforts between the Dana-Farber Cancer Institute, the Broad Institute, and multiple other institutions. The goals of this initiative consist of analyzing sequencing data to determine the effects of genomic alterations and expression changes on clinical behavior, both retrospectively and prospectively. 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.

The person hired for this position will join the team in this effort, and will participate in the design and implementation of algorithms to analyze the data and integrate with other data sets including clinical outcomes data. This person will also help with the generation of tools needed for manipulating and preparing data for display; transferring data to external collaborators and data repositories;

and will also help maintain, support, and document shared tools, code base, and data sets. As the software infrastructure evolves, this position is likely to present diverse and flexible opportunities - from deeper and more complex software design problems, to becoming more involved in the bioinformatic and analytic aspects of predictive modeling.

• A Ph.D. in bioinformatics, genetics, statistics, mathematical, physical, or computer science, or comparable research…