Position Details

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. Franois 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

Quick Link for Posting

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

Job Number

8550394

Organizational Location

SVP FOR STRATEGY & INNOVATION OFFICE

Posting Details

Posting Detail

Number of Vacancies

Desired Start Date

Position End Date

Open Until Filled

Yes

Applicant Documents
Required Documents

1. Cover Letter/Letter of Application
2. Curriculum Vitae

Optional Documents

1. Teaching Statement
2. Research Statement
3. Writing Sample
4. Scholarly Publications
5. Teaching Evaluations
6. Other Document
7. Unofficial Transcripts
8. Multi Media
9. Resume

Supplemental Questions

Required fields are indicated with an asterisk (*).