Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. Associate Professor: * PhD in biomedical informatics or a related technical field (e.g., computer science, engineering, physics, applied mathematics, statistics) OR MD/DO plus graduate degree in an appropriate technical field * A track record of accomplishments consistent with appointment to an Associate Professor position in DBMI in the CU SOM Professor: * PhD in biomedical informatics or a related technical field (e.g., computer science, engineering, physics, applied mathematics, statistics) OR MD/DO plus graduate degree in an appropriate technical field * A track record of accomplishments consistent with appointment to an Professor position in DBMI in the CU SOM Preferred Qualifications (All Ranks): * Expertise in cross-disciplinary research, particularly in the areas of cancer biology, engineering, and structural biology * Experience with studying protein conformational changes in cancer cells and leveraging these changes for cancer therapy * Proficiency in precision medicine approaches, including the use of patient-derived tumor organoid models to tailor treatments * Focus on rare tumors, with experience in studying under-characterized cancers that have limited or no standard of care * Post-doctoral experience applying technical expertise (e.g., computer science, engineering, physics, applied mathematics, statistics) to health-related applications or in clinical informatics * Experience collaborating with researchers in multiple different domains and healthcare providers * Accomplishments and publications in research areas spanning the boundary between the biomedical sciences and the computational sciences. * Strong computational skills as evidenced by completed projects and developed software, tools, and systems Knowledge, Skills and Abilities: To be successful in this position, candidates will need to demonstrate/be the following: * Self-motivation, responsibility, and dedication * Exceptionally team-oriented and able to work with multidisciplinary teams at all levels * Excellent verbal, written, and interpersonal communication skills. * Ability to respectfully lead and supervise others to achieve high productivity * Strong motivation to collaborate with investigators in multiple different domains |