The Molecularly Optimized Networks (MONET) Team is seeking applications for a Research Associate/Chemistry Data Specialist.
Description: Data tool development, including that within the NSF Center for the Chemistry of Molecularly Optimized Networks (MONET), enables the robust storage, searching, and sharing of polymer chemistry data with ever-increasing levels of molecular detail. MONET’s Chemistry Data Specialist (CDS) leverages these data tools in support of MONET’s broad mission in three areas: (i) internal Center research; (ii) innovation and external translation; (iii) broadening external participation in the Center’s research agenda. These three areas are united in that the efficiency of each is tied to a shared set of best practices for data handling and the development of, and training in, a common set of digital tools for that purpose. The CDS works at this intersection of outreach, research, and technology transition by providing support for training in, use of, and development toward cutting-edge data tools for polymer chemistry. The position includes the opportunity to publish, and can be filled as either a postdoctoral or staff position.
Duties:
• Serve as resident expert in polymer chemistry data tools for MONET, including those based on BigSMILES and PolyDAT. Create, maintain, and update training materials. Coordinate and lead periodic training within MONET.
• Assist in software and data tool development related to MONET research needs. Coordinate tool development with the Community Resource for Innovation in Polymer Technology (CRIPT) and other external partners.
• Serve as point-of-contact for external translational partners and stakeholders in MONET’s data efforts, including corporations, other academic research centers, and government research organizations. Connect internal/external challenges and opportunities to promote the adoption and impact of tools.
• Serve as point-of-contact for external educational partners and stakeholders in MONET’s data efforts, such as undergraduate research teams and citizen scientists. Maintain and update training materials for educational use. Communicate key accomplishments of MONET’s data efforts to these partners and stakeholders.
• Track activities and communicate them to MONET’s Director for review and reporting.
Skills and Qualifications Sought
• General knowledge and interest in the field of polymer chemistry. Demonstrated mastery of general and introductory organic chemistry is required. A chemistry degree is preferred but not required.
• Demonstrated experience and ongoing interest in coding, including Python, is required. Specific experience with databases is preferred but not required.
• Excellent oral and written communication skills.
• Self-motivated.
• Comfortable setting and meeting deadlines.
• Good interpersonal skills.
Interested candidates should submit a cover letter, CV, statement of research and list of three potential references.
Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.
Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. |