Loyola University

Research Assistant Professor - Non-Tenure Track Faculty Position. 3-5 years of experience as a biostatistician, data scientist. The Center for Health Outcomes and Informatics Research (CHOIR) at Loyola University Chicago is seeking a full-time Research Assistant Professor (non-tenure track faculty position) to support biomedical research across the Health Sciences Division.. The successful candidate will work closely with Dr. Francois Modave, director of CHOIR, and HSD faculty, and staff to provide biostatistical support on grants, research projects, and sprint projects with our clinical partners.. The Center for Health Outcomes and Informatics Research (CHOIR), a component of Loyola University Chicago's Health Sciences Division, serves to educate and engage clinical faculty, healthcare professionals, resident physicians and health sciences students in the fundamentals of health outcomes research and data-driven healthcare delivery.

research assistant professor

<h5 class="tab">Position Details</h5>
 
 
 
 Position Details
 
 
 
 
 Job Title
 Research Assistant Professor - Non-Tenure Track Faculty Position


 
 
 Position Title
 Research Assistant Professor - Non-Tenure Track Faculty Position


 
 
 Position Number
 


 
 
 Job Category
 University Faculty


 
 
 Job Type
 Full-Time


 
 
 FLSA Status
 Exempt


 
 
 Campus
 Maywood-Health Sciences Campus


 
 
 Location Code
 CTR FOR HLTH OUTCOMES & RES (01105A)


 
 
 Department Name
 PUBLIC HEALTH SCIENCES


 
 
 Is this split and/or fully grant funded? 
 


 
 
 Duties and Responsibilities
 Duties and responsibilities 
*	Provide biostatistical support on grant applications 
*	Works in close collaboration with faculty in the Health Sciences Division to develop predictive and prescriptive models from large, heterogeneous data sets, using statistical, machine learning, and other advanced data science methods 
*	Performs data exploration of large data sets for hypothesis generation and knowledge discovery 
*	Supports applications for external funding, in particular, developing and writing data science methodology in grant proposals 
*	Develops algorithms and software for health care analytics 
*	Provides data science lectures and workshops for the Health Sciences Division 


 
 
 Qualifications
 Minimum education or experience 
*	Education: Doctorate in Data Science or related field 
*	Experience 
 Required: 
 3-5 years of experience as a biostatistician, data scientist 
 Past experience as co-investigator on federally (NIH) funded projects 
 Preferred: 
 6-10 years of experience as a data scientist 


 
 
 Physical Demands
 


 
 
 Working Conditions
 


 
 
 Minimum Education and/or Work Experience
 The Center for Health Outcomes and Informatics Research (CHOIR) at Loyola University Chicago is seeking a full-time Research Assistant Professor (non-tenure track faculty position) to support biomedical research across the Health Sciences Division. The successful candidate will work closely with Dr. Francois Modave, director of CHOIR, and HSD faculty, and staff to provide biostatistical support on grants, research projects, and sprint projects with our clinical partners. 
Duties and responsibilities 
*	Provide biostatistical support on grant applications 
*	Works in close collaboration with faculty in the Health Sciences Division to develop predictive and prescriptive models from large, heterogeneous data sets, using statistical, machine learning, and other advanced data science methods 
*	Performs data exploration of large data sets for hypothesis generation and knowledge discovery 
*	Supports applications for external funding, in particular, developing and writing data science methodology in grant proposals 
*	Develops algorithms and software for health care analytics 
*	Provides data science lectures and workshops for the Health Sciences Division 
Minimum education or experience 
*	Education: Doctorate in Data Science or related field 
*	Experience 
 Required: 
 3-5 years of experience as a biostatistician, data scientist 
 Past experience as co-investigator on federally (NIH) funded projects 
 Preferred: 
 6-10 years of experience as a data scientist 
Computer Skills: 
*	Proficiency with statistical packages such as SAS or R 
*	Proficiency with a high-level programming language such as Python, Java, etc. preferred 
*	Proficiency with modern data science tools such as Tensorflow, Keras, etc. preferred 
Qualifications: 
*	Excellent written and verbal communication skills 
*	Ability to work well in multidisciplinary teams 
*	High attention to detail, maintaining accuracy and consistency 
*	Ability to plan, coordinate, and prioritize multiple tasks and projects
The Center for Health Outcomes and Informatics Research (CHOIR), a component of Loyola University Chicago's Health Sciences Division, serves to educate and engage clinical faculty, healthcare professionals, resident physicians and health sciences students in the fundamentals of health outcomes research and data-driven healthcare delivery. CHOIR's primary objective is to create a data-driven culture in the service of improved outcomes and health equity. CHOIR is a core strategic collaboration between Loyola University Chicago Health Sciences and Loyola University Health System in their shared mission of education, research and service to others. In the Jesuit tradition, the phrase Cura Personalis speaks to Loyola's distinctive person-centered approach to education.
Interested candidates are required to complete an online application including the submission of CV, cover letter, and contact information for at least 3 references. Questions should be addressed to Dr. Modave at fmodave@luc.edu 


 
 
 Open Date
 01/17/2019


 
 
 Close Date
 


 
 
 Special Instructions to Applicants
 


 
 
 Diversity and Inclusion Statement
 


 
 
 Quick Link for Posting
 https://www.careers.luc.edu/postings/10081


 
 
 Job Number
 8550394


 
 
 Organizational Location
 SVP FOR STRATEGY & INNOVATION OFFICE


 
 
 
 
 
 <h5 class="tab">Posting Details</h5>
 
 
 
 Posting Detail
 
 
 
 
 Number of Vacancies
 


 
 
 Desired Start Date
 


 
 
 Position End Date
 


 
 
 Open Until Filled
 Yes

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