Postdoctoral Associate - The Getz Lab

The Broad Institute • Cambridge, MA

6d • Onsite

About The Position

The Getz Lab at the Broad Institute and MGH is a world-leading laboratory for cancer genome analysis. We develop highly innovative, robust, and widely used computational methods to study the molecular basis of cancer, including genomic alterations that drive primary and resistant tumors, cell-of-origin, premalignant lesions, mutational processes, activity of different pathways, and microenvironmental changes. We then follow up key findings experimentally. While the comprehensive analysis of cancer genomes is ongoing, major barriers still exist in converting this information to patient benefit and achieving the goal of personalized medicine. Our work stands at the forefront of cancer genome science, and our research is regularly published in top-tier journals (see our work on Google Scholar and PubMed). We are dedicated to innovating and pushing the limits of what we know and what can be known in understanding the complexities of human cancer. We are an interdisciplinary group of scientists, engineers, and clinicians who work together in a mutually supportive and respectful environment. Ideas are freely shared, and contributions are highly valued. Moreover, Dr. Getz places a high priority on mentoring postdoctoral trainees to work toward achieving their career paths and goals, and his lab, as well as the environments at the Broad Institute and Massachusetts General Hospital, provide frequent and varied educational and skill-building opportunities. The lab is engaged in the larger Boston-area ecosystem and the cancer research community worldwide, and provides a vibrant research environment for your contributions to be disseminated and recognized in the field. Our ability to integrate both computational and wet-lab work enables us to address key questions at a deeper and more impactful level. Indeed, we constantly use and develop new technologies to help unlock new findings.

Requirements

• A PhD in Chemical Biology, Bioinformatics, Computational Biology, Computer Science, Machine Learning, Engineering, Mathematics, Statistics, Physics, or a related quantitative discipline
• Demonstrated experience in studying clonal heterogeneity with respect to the development of resistance to therapy in lung cancer
• Fast learner, analytical thinker, creative, "hands-on", team-player.
• Experience with computational analysis, algorithm development, and statistics.
• Proficiency in at least one modern programming language.
• Strong communication skills.

Nice To Haves

• Experience with a scientific programming environment (such as Python, R, or Matlab) is preferred.
• Background in machine learning and/or cancer genomics is a plus.

Responsibilities

• Performing computational analyses (e.g., characterization of genomic alterations, phylogenetic analysis, etc.)
• Assembling and finalizing a manuscript for submission to a peer-reviewed journal
• Working closely with a Clinical Fellow from the Gainor Lab in designing and implementing a related study from the same patient data
• Play a lead role in designing and executing data analysis strategies
• Bring an existing project to completion by submitting finalized work to a peer-reviewed journal
• Conceive, implement, and test statistical models; analyze data from experiments.
• Present results to a variety of audiences, including non-computational researchers.
• Prepare written reports (e.g., manuscripts, grants, patents) and presentations for meetings.
• Opportunity to teach and train other team members.

Benefits

• medical, dental, vision, life, and disability insurance
• a 401(k) retirement plan
• flexible spending and health savings accounts
• at least 13 paid holidays
• winter closure
• paid time off
• parental and family care leave
• an employee assistance program

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree