BACKGROUND:
The Broad Institute was launched to pioneer a new model of collaborative biomedical science that would transform medicine. To accomplish these goals, we have built an amazing team of talented Broadies who work together to realize this transformation.

We are always looking for new Broadies to join our team and help us tackle important problems at the cutting edge of science.

RESPONSIBILITIES:
The Broad Institute is looking for exceptional candidates to join the Connectivity Map project. This position affords the exciting opportunity to join a relatively new and rapidly growing research effort at the Broad Institute and to influence some of the most exciting new approaches in computational biology and drug discovery. This research effort aims to generate a detailed map that links gene patterns associated with disease to patterns produced by drugs. The Connectivity Map is the most comprehensive effort yet for using genomics in a drug-discovery framework. To build a Connectivity Map, the Broad brings together molecular biologists, genomics specialists, computational scientists, chemists, pharmacologists and software engineers (http://www.broadinstitute.org/cmap).

The successful candidate will play a key role in developing algorithms for the next generation of the Connectivity Map, including methods of data factorization, regression, multidimensional scaling and classification/visualization techniques including Support Vector and Kernel Methodologies, graphical models and Ensemble approaches.

The Broad Institute provides a vibrant research environment with close links to top academic institutions across the Boston Area and provides the potential for your contributions to be used and recognized worldwide.

Characteristic Duties:

• Develop data analysis strategies, write algorithms, and deploy computational tools for the exploration of high-dimensionality datasets.
• Conceive, implement and test statistical models; work with wet-lab researchers to translate these models into testable experiments; analyze data from experiments.
• Explore novel data representation modes with an emphasis on integrating diverse data types.
• Help develop toolsets and bioinformatics applications that embed analysis methodologies to be published and distributed internally, to external collaborators or to the biomedical community at large.

REQUIREMENTS:

• Bachelor's or Master's degree in Statistics, Mathematics, Physics, Computer Science, or Engineering with significant experience in computer programming
• Candidates should have outstanding academic and professional track records; have a demonstrated history of developing successful algorithms; demonstrate proficiency with the numerical, statistical and programmatic tools needed for the exploration of high-dimensionality datasets; be innovative and analytical thinkers with strong communication skills; and work well in an inter-disciplinary team.

Significant experience with at least some of the following is required:

• Statistical programming using MATLAB and/or R.
• Computational methods, including experience with algorithms, data analysis, applied mathematics and statistics.
• Developing computational tools and software for bioinformatics applications.
• Developing prototypes for data visualization.
• Implementing algorithms for search, information retrieval and machine learning.
• Cheminformatics including experience with chemical structures & descriptors of similarity/diversity.

We are looking for an individual who is enthusiastic about taking a hands-on, data driven approach and collaborating with scientists and engineers in a collegial work environment characterized by informality and intellectual rigor. We are less interested in a particular degree or technical experience than in hiring an extraordinarily capable individual who is likely to make significant contributions to our efforts. Well-qualified applicants will be considered even if they possess no specific training in the Biomedical Sciences. Relevant backgrounds include formal training or notable experience in Bioinformatics, Computational Biology, Statistics, Cheminformatics, Quantitative Modeling and Software Engineering.

COMPENSATION:
The Broad community includes professional scientists from many disciplines, administrative staff, and students. We seek to cultivate an interdisciplinary, goal-oriented work environment that unleashes scientific creativity and empowers our people to pursue ambitious and critical projects.

Our work transcends traditional academic boundaries, giving Broad employees and affiliates access to an unparalleled biomedical research community across the Harvard and MIT communities and beyond.

The Broad Institute is committed to providing its employees with a competitive compensation and benefits package. We recognize the need for our employees to have a balance between work and personal life. To that end, our benefit plans and options reflect our desire to promote an environment that supports the health, diversity, and general wellbeing of our employees.

All Broadies also have access to world-class research and state of the art technology and are fully supported in their professional development, pushing the envelope for further growth.

HOW TO APPLY:
Please apply via our website: https://www.broadinstitute.org/careers/career-center. Position 438.

POLICY:
The Broad Institute is an equal opportunity employer.