The Department of Biomedical Engineering at Yale University seeks to hire a Tenure-track Assistant Professor in Computational Biomedical Engineering beginning as early as July 1, 2023. As part of Yale University’s ongoing strategic investment in integrative data science and its mathematical foundations, we are most interested in candidates whose research efforts focus on the development of innovative computational tools, methodology, and models to integrate large biomedical datasets across scales (multi-scale) or modalities (multi-omics). Our goal is to identify candidates whose computational research can complement the department’s existing strengths in imaging, biomaterials, systems biology, immunobiology, or biomechanics while enhancing interactions with researchers and clinicians in Yale School of Medicine. Candidates pursuing other facets of biocomputing or whose research includes supporting experiments or data collection are also welcomed to apply. Examples of research foci of interest are, but not limited to precision medicine, machine learning to identify disease signatures (e.g., from imaging or multi-omic data sets), single-cell omics analysis, systems pharmacology, multi-scale models of tissues, agent-based modeling, biophysical modeling, physiological modeling, etc
We ask you to submit the following anonymized statements to mitigate unconscious biases that might compromise a fair assessment of the strengths of your application. Initial rounds of review will be conducted using only this anonymized content. Documents will be reviewed administratively to ensure that non-anonymized content is not seen by the search committee. To be clear, “anonymized” does not mean that the applicant in any way obscures the specific scientific content of their work and plans. Rather, the omission of lab name, institution, and journal names facilitates evaluation of scientific merit. *See examples below for anonymized vs. traditional statements.
• Anonymized Research Statement (3 pages maximum; figures encouraged): Briefly describe your most significant scientific accomplishment to date (~1 page) and describe your goals and vision for your future research program in the resource-rich environment of Yale. You may refer to past experiences and qualifications that make you particularly well-suited to achieve your goals, but do not include any names of researchers who performed the work, institutions where the work was performed, organizations that funded the work, or journals in which the work was published. We recognize the scientific impact of discoveries made by candidates working in many settings and publishing in a wide range of journals.
• Anonymized Teaching Statement (500 words max). We are interested in hearing about your teaching awareness, training, experience and goals.
Non-anonymized additional required documents:
• Statement on Diversity, Equity, and Inclusion (700 words max): Describe your understanding of the inequities and challenges facing historically underrepresented groups in STEM and describe your past and future contributions to diversity, equity, and inclusion through research, teaching, and service.
• Curriculum Vitae: Your most recently updated C.V. including published and accepted papers. The C.V. will be read in the second round after a group of excellent applications has been selected for further consideration based on the anonymized statements. We welcome applicants to use narrative C.V. formats such as the Résumé for Researchers. For papers listed in a traditional C.V. format, we encourage applicants to add 2-3 sentences describing their hoped-for impact of the work. We are interested in your accomplishments,
not in the journal impact factors where your work was published. We encourage the use of article-level metrics. • Three confidential letters of reference submitted through the Interfolio system.
• (Optional): Preprints of up to 2 accepted, but still unpublished manuscripts
Traditional, non-anonymized: "As a [Named Fellowship] postdoc in Professor X's lab at University of Z, I designed and built a new instrument that can [do something amazing]. I used this to discover [important finding]. Reference: J. Doe et al. "Article title", JBC, 2020.
Anonymized: "As a postdoc I designed and built a new instrument that can [do something amazing]. I used this to discover [important finding]. Reference: Applicant et al. "Article title", 2020.
NOTE: For papers authored by the applicant, indicate authorship position, e.g. Applicant: #3 out of 9 authors, followed by the complete article title and year of publication. For all other references, include the article title and year only.
Yale University is an Affirmative Action/Equal Opportunity employer. Yale
values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.