The Institute for Protein Innovation (IPI)is a nonprofit research organization advancing protein science to accelerate research and improve human health. Founded in 2017 and located in Boston’s Longwood Medical Area, the Institute’s three-pronged strategy is to build protein tools, conduct related internal research and develop educational programs for the protein science and biological research communities.
With a significant endowment, IPI uniquely combines the freedom of academia with the high throughput and scale of industry to take on transformative projects. IPI has built a robust platform for discovering, developing, and distributing synthetic antibodies and other protein tools to share with the biomedical community. The Institute's deep protein expertise, collaborative spirit and research tools are powering new biomedical and therapeutic discoveries with a growing community of researchers at Harvard Medical School, Boston Children's Hospital and other institutions across Greater Boston and beyond.
Purpose
The Director of Computational Biology and Bioinformatics will lead and manage the computational biology and bioinformatics team. The successful candidate will be responsible for developing and implementing computational strategies to support cutting-edge research and development in the fields of protein science, antibody discovery, proteomics, systems biology, scientific databases, machine learning, and others. This role will involve collaboration with cross-functional teams to drive the discovery and development of novel molecules, technologies, and scientific publications. This individual will be a key member of IPI's scientific leadership team.
Primary Areas of Responsibility
1. Lead and mentor a team of computational biologists and bioinformaticians, fostering a collaborative and innovative work environment.
2. Develop and execute strategic plans for the computational biology and bioinformatics group aligned with the organization’s goals.
3. Manage project timelines, budgets, and resources to ensure successful project delivery.
4. Work closely with other departments to ensure computational support for various research and development projects. This group will initially support IPI's research platforms, internal databases, and external product catalogs of antigens and antibodies.
5. Drive the development of new computational tools, pipelines, and platforms to enhance data analysis capabilities. These include but are not limited to in vitro antibody discovery data, protein biophysical characterization, proteomic analysis, and others.
6. Ensure the integration and analysis of large datasets to generate actionable biological insights.
7. Collaborate with experimental scientists, data scientists, and other stakeholders to design and interpret experiments, providing data-driven recommendations.
8. Communicate complex computational analyses and results to both technical and non-technical audiences.
9. Stay current on the latest advancements in computational biology and bioinformatics and incorporate relevant technologies and methodologies.
10. Promote adopting best practices in data management, reproducibility, and collaborative research.
· PhD in related field
· 10 years of management experience, including leading teams of 5 or more computational staff
· A strong track record in the field demonstrated through publications, patents, and/or products is required
· Experience applying AI/machine learning tools in a biological setting
· Experience with cloud computing and high-performance computing environments
· Experience mentoring junior staff
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