Job Title:

Research Assistant Professor - Non-Tenure Track Faculty Position

Research Assistant Professor - Non-Tenure Track Faculty Position

University Faculty

Full-Time

Exempt

Maywood-Health Sciences Campus

CTR FOR HLTH OUTCOMES & RES (01105A)

PUBLIC HEALTH SCIENCES

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

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. François 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

01/17/2019

https://www.careers.luc.edu/postings/10081

8550394

SVP FOR STRATEGY & INNOVATION OFFICE

Yes