Description & Requirements
The mission of the Broad Institute of MIT & Harvard is to transform medicine by dramatically accelerating the understanding and treatment of disease. Through our partnerships with MIT, Harvard, and the Harvard teaching hospitals, along with collaborations across the globe, we've become a worldwide hub of cutting-edge biomedical science. We are committed to building and sustaining a culture that pursues and rewards intellectual curiosity and innovative thinking.
Responsibilities:
- Leads analyses for projects related to programmatic goals defined by the program PI
- Independently develops weekly, monthly, quarterly, and annual analytic strategies, programs, milestones, and timelines for projects and programmatic goals.
- Oversees research personnel on the execution of programmatic goals and day-to-day activities and the accomplishment of milestones based on the established objectives.
- Develops project plans and performs analyses, executes computational methods independently, and identifies and resolves issues for team members.
- Collaborate in cross-disciplinary teams for data science goals.
- Builds bioinformatic modeling, computational pipelines, data summaries, and visualization dashboards for high-throughput, leading-edge technologies.
- Routinely interacts with internal contacts and peer group leaders, both internal and external.
- Performs all project management for team projects, including tracking of funding sources, progress reports, presentations, and consortia interactions.
- Leads flagship projects as primary author, contributes to other projects, and spearheads collaborations as directed by program PI.
- Ensures publication of completed studies and regularly presents work to multidisciplinary scientific groups.
- Directly provides supervision, performance feedback, and career development to team members and provides team reports to the program PI.
- Spearheads grants, initiatives, and opportunities to support team funding over time in partnership with the program PI.
Qualifications:
- PhD in computational biology, bioinformatics, statistics, software engineering, or related field.
- At least 5 years of relevant research experience.
- Demonstrated success in working on and solving complex, novel problems.
- Demonstrated track record of academic productivity in a collaborative research environment, with an ability to work independently, as well as part of a team.
- Proficient in computational and programming skills; experience with object oriented programming and scripting languages (Java, C/C++, Python, Perl) and scientific computing tools (MATLAB, R).
- Experience managing multiple simultaneous long-term computational projects.
- Strong communication and organizational skills, including the ability to handle a variety of tasks.
- Excellent communication (in writing and presenting) and interpersonal skills, including presenting and describing work to researchers with a range of experience and knowledge.
- Demonstrated academic achievement, as evidenced by publications, contributions to widely used resources, and capacity to manage independent funding via grants or fellowships.
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