HEOR Fellowship Webinar

Thomas Jefferson University has offered industry-sponsored Fellowships in health economics and outcomes research (HEOR) since 1994. The Fellowships are administered through the Jefferson College of Population Health (JCPH), which is the nation’s first college of population health. During this webinar, current Fellows from Celgene, Ethicon, Novartis and Teva will discuss the Fellowship, the application process and their experiences as Fellows. The event will be livestreamed and recorded for future viewings. Participants are encouraged to ask questions at the end of the presentation. Please register using the following links:

• October 16th: Click Here
• November 7th: Click Here

For more information,

Email JCPHFellowship [at] Jefferson [dot] edu

Or go to Jefferson.edu/HEORFellowships

Digital Slide Archival Assistant Intern, CDC volunteer oppertunity

Position Title: Digital Slide Archival Assistant Intern
Location: CDC, Roybal Campus, 1600 Clifton Road, NE, Atlanta, GA 30329
Start Date: November 1, 2019 – May 31, 2020 (estimated)
Duration: Up to 180 calendar days (up to one year if earning academic credit)
Hours: A minimum of 10 hours per week (flexible, based on schedule) This is an unpaid internship. Applicants must be current students. 

This position is located in the National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Division of High Consequence Pathogens & Pathology (DHCPP), Infectious Disease Pathology Branch (IDPB).
Education Requirements:
Interest in biology and/or life science preferred, but not required
Description: IDPB has a large collection of digitized glass slides from interesting cases of infectious disease that need careful sorting and organization for long-term archival and access through database software. A laboratory assistant is needed to organize the files, name the files appropriately, and sort and upload files into database software (eSlide Manager).
Duties:
• Become familiar with digital slides, the archival system, and eSlide Manager database software (training will be provided)
• Rename files, sort files, and upload pertinent clinical information
• Work with the ePathology unit of IDPB to ensure archival system meets branch needs
• Must be detail-oriented with excellent communication skills
Requirements:
• Good organizational skills
• Attention to detail when working with numbers, including lists
• Good oral and written communication skills
• Adherence to laboratory safety practices
• Ability to work in a fast-paced, highly time-sensitive environment, while ensuring high quality and efficiency
• Ability to work well independently and as part of a team
• Ability to establish and maintain effective working relationships with other professionals within CDC and with external organizations
• Ability to manage multiple projects with varying tasking, short turnaround times, and meet or exceed all deadlines
• Ability to prioritize work
• Must possess excellent oral and written communication skills
• Ability to efficiently use Microsoft Office programs (Word, Excel, PowerPoint, Outlook, Access), and SharePoint
• Demonstrates initiative on assignments and projects, and proactively tackles responsibilities
• Ability to produce accurate documents and materials with little or no supervision
Work Hours:
Students must be able to work at least 10 hours a week in the CDC Office. The work schedule for this position
is flexible and will be discussed and approved by both parties.

Applications:
Submit resumes via email to the CDC Human Resources Customer Service Helpdesk at HRCS [at] cdc [dot] gov with the subject “SWEP Student Volunteer Program – Digital Slide Archival Assistant Intern” no later than 4 p.m., Monday, October 14, 2019. Students selected for interviews will be contacted, and the student(s) selected for participation will be required to complete additional paperwork.

PH.D. Program in Biological Sciences in Public Health, Havard

All students admitted into this training program are provided full tuition, health insurance and stipend support. Our graduates hold distinguished positions in academia, industry, government, and other arenas of life science research, consulting, communications and policy. The application deadline for the 2020-21 Academic Year is December 1, 2019.  NOTE: The BPH program does not require or consider the GRE as part of its application process. In addition, applicants who are non-native English speakers and who received their undergraduate degree from an academic institution where English is not the primary language of instruction now have the option to submit scores for the International English Language Testing System – Academic test (IELTS) as proof of English proficiency. More information can be found on our website: http://www.hsph.harvard.edu/biological-sciences/ or through upcoming recruitment events.

Big Data Analytics for Healthcare, NRSG 741

Course Description:
This course will describe the concepts underlying the field of study identified as big data analytics along with its application in healthcare. The theoretical underpinnings of these concepts will be presented along with
applications in healthcare, including knowledge discovery, precision medicine/nursing, and the development of targeted interventions to improve health outcomes. Commonly used methods in big data analytics will be reviewed, and the challenges related to gathering, analyzing, visualizing, and interpreting big data will be discussed. Hands-on computer laboratory experience (R programming language) with these techniques relevant to an identified area will be included.

Course Objectives:
 Demonstrate knowledge of principles and tools of big data analysis in health research.
 Identify the potential and challenges incorporating big data analytics to improve precision medicine / nursing interventions.
 Understand the principles of reproducible research and implement an appropriate workflow for data analysis and manuscript / report generation.
 Effectively critique published research using big data theoretical frameworks
 Analyze ethical issues related to the use of big data analytics in health related research
 Demonstrate knowledge of big data gathering, storage, management, and analyses