GIS Remote Work Study Intern

GIS Intern

Salary: $12.50 per hour

· Minimum of 10+ hours per week with flexible start and end times (depending on class schedule)

· More hours preferred.

MESH Coalition is a non-profit, public-private partnership that coordinates, supports and strengthens healthcare and related entities to mitigate, prepare for, respond to and recover from the effects of emergency and crisis incidents. MESH provides: (1) preparedness and planning services; (2) innovative education, training and exercise programs; (3) healthcare intelligence services and (4) regulatory and policy analysis – all in support of comprehensive healthcare sector emergency management. MESH serves as the Marion County Medical Multiagency Coordination Center.

 

The intern may work at MESH headquarters in Indianapolis, or virtually, assisting in daily activities, researching, writing and communications efforts, incident monitoring, and preparedness projects that build, strengthen and promote the sustainability of healthcare coalitions. 

· Identify problems and answer questions using quantitative and/or qualitative data

· Identifying datasets, shapefiles, etc.

· Preparing data

· Analyzing data

· Visualizing insights

· Presenting findings

· Forecasting

· Create, prepare and maintain GIS layers, applications and data sets for various projects

· Identifying and collecting information for projects/services

· Researching topics as needed by MESH staff, as well as Executive Summaries for MESH Grand Rounds presentations, including interacting with subject matter experts

· Managing knowledge

· Attending meetings with MESH staff and/or stakeholders

 

· Evaluates information to produce actionable insights

· Listens actively to determine MESH and stakeholder needs

· Builds relationships with MESH staff and stakeholders

· Conveys ideas effectively through verbal, written, and graphical communication

· Thinks critically to aquire, clean, and analyze data to support the MESH mission

· Collaborates with MESH staff and stakeholders

· Analyzes, Synthesizes, and Evaluates data sets and information to increase knowledge and understanding to provide actionable insights

· Preservers by being solution-minded

· Investigates best practices for data utilization in healthcare emergency preparedness

· Creates/designs data products to meet stakeholder needs

· Confronts challenges in obtaining, cleaning, and maintaining data sets

· Makes decisions in data and information selection and products

· Builds community resilience with disaster preparedness data, information, and products

· Respectfully engages own and other cultures through a whole community approach

· Behaves ethically by maintaining confidentiality of sensitive data and information

· Anticipates consequences of not meeting stakeholder needs

• Understanding of fundamentals in mapping, cartography, and geospatial data management with proven experience utilizing the ESRI ArcGIS platform

• Experience producing maps using ArcGIS

• Strong written and interpersonal communication skillset

• Ability and willingness to make phone calls and attend meetings

• Proficient in Microsoft Office (Excel, Word, PowerPoint, etc.)

• Attention to detail

• Self-motivated

• Resume and GIS Work Sample required

• Signed confidentiality agreement required

• Must provide dates of immunizations with medical documentation for: Current Tdap vaccine (given within the past 10 years), 2 Varicellla vaccines, 2MMR vaccines and Meningitis ACWY vaccine, tuberculin skin test, and influenza vaccination (during flu season)

This position is limited to candidates with a Federal Work-Study award at IUPUI. To verify you have a Federal Work-Study award, please go to your OneStart Account, Student Center, View Financial Aid Summary. If you have an award, it will be listed with the rest of your financial aid (loans, grants, scholarships, etc.). You may also email the Office of Student Financial Services at finaid@iupui.edu to inquire about eligibility. 

·     Terrain modeling

·     Data wrangling

·     Python

·     R

·     Data visualization

·     Project planning

·     Knowledge management

·     Passion for strengthening local disaster preparedness efforts and enhancing community resilience