Author Archives: Lillian

Research Data Analyst, UCSF

Category : Alumni

JOB OVERVIEW
The Research Data Analyst will join a collaborative and exciting team of researchers at the F.I. Proctor Foundation studying eye diseases in the U.S. and internationally. Researchers at the F.I. Proctor Foundation conduct randomized controlled trials and large epidemiological studies on ocular diseases that can cause blindness. The epidemiological studies involve large administrative databases and the trials involve domestic and international collaboration. This position requires an employee with excellent communication and organizational skills who can be relied upon to play an integral role in implementing and disseminating the results of research studies conducted at the F.I. Proctor Foundation.

The Research Data Analyst will provide research support through conducting literature reviews, assisting in data analysis and interpretation, writing, editing, and formatting manuscripts, and managing and tracking the progress of manuscripts for publications.

The Research Data Analyst must be comfortable working in a diverse team environment with little supervision to analyze, interpret, write, edit, review, and format manuscripts for high impact medical journals. Additionally, this position requires strong multitasking skills as the Research Data Analyst will also support the start-up of a National Institutes of Health (NIH)-funded multicenter, international clinical trial.

Responsibilities will include, but will not be limited to contributing to study design from a methodological standpoint, participating in the review and writing of protocols and study documents, assisting with database creation, helping to assure compliance with all relevant regulatory agencies, coordinating meetings with the study team, reporting study progress to investigators and other stakeholders, and generating subcontracts. This position will also involve travel to study sites for implementation and monitoring visits.

PROCTOR FOUNDATION FOR RESEARCH IN OPHTHALMOLOGY
The F.I. Proctor Foundation for Research in Ophthalmology at UCSF is committed to engaging in research activities and providing state-of-art patient care that address infectious and inflammatory disease that cause blindness. The mission is the prevention of blindness worldwide through research and teaching focused on infectious and inflammatory eye disease.

ABOUT UCSF
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences, health professions and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences.

Required Qualifications

• BA/BS degree with a major in related field (e.g. biostatistics, public health, epidemiology) and two years of experience in project management or clinical research, or an equivalent combination of education and experience
• Knowledge of various study designs and implementation strategies
• Strong verbal and written communication skills
• Experience and ability to work and interact positively with people from diverse backgrounds
• Highly organized and able to multitask in a fast-paced environment
• Independence, planning, and decision making abilities to complete assigned duties

Preferred Qualifications

• Graduate degree in epidemiology, biostatistics, statistics, public health or related field and two to three years of relevant experience, or an equivalent combination of education and experience
• Demonstrated proficiency with statistical software packages (R, STATA or equivalent)
• Knowledge of database creation and management
• Understanding of HIPAA and Institutional Review Board (IRB) approval process
• Ability to develop budgets and track finances
• Experience in writing, editing, and reviewing scientific manuscripts
• Experience conducting literature reviews and writing scientific papers
• Experience in clinical research or demonstrated research or training experience that translates into a clinical research setting
• Knowledge of medical and scientific terminology
• Detail oriented; works with a high level of accuracy

To apply, click HERE.

Study Coordinator, UCSF

Category : Alumni

JOB OVERVIEW
The Study Coordinator will join a collaborative and exciting team of researchers at the F.I. Proctor Foundation studying eye diseases in the U.S. and internationally. Researchers at the F.I. Proctor Foundation conduct randomized controlled trials and large epidemiological studies on ocular diseases that can cause blindness. The epidemiological studies involve large administrative databases and the trials involve domestic and international collaboration. This position requires an employee with excellent communication and organizational skills who can be relied upon to play an integral role in implementing and disseminating the results of research studies conducted at the F.I. Proctor Foundation.

The Study Coordinator will support the start-up of a National Institutes of Health (NIH)-funded multicenter, international clinical trial. Responsibilities will include, but will not be limited to contributing to the study design from a methodological standpoint, participating in the review and writing of protocols and study documents, helping to assure compliance with all relevant regulatory agencies, coordinating meetings with the study team, reporting study progress to investigators and other stakeholders, maintaining finances, and generating subcontracts.

This position requires excellent professionalism as the Study Coordinator will be working with governmental and academic regulatory agencies, pharmaceutical companies, and researchers. This position will involve domestic and international travel to study sites for implementation and monitoring of visits. Additionally, the Study Coordinator should have strong writing and communication skill as this employee will be responsible for conducting literature reviews, writing, editing, and formatting manuscripts, and managing and tracking the progress of manuscripts to high-impact medical journals. The person in this position must be comfortable working in a diverse team environment with little supervision to carry out their responsibilities. The employee should show a strong interest in clinical research and a desire to contribute to the state of knowledge on the prevention, treatment, and correlates of disease.

PROCTOR FOUNDATION
The F.I. Proctor Foundation for Research in Ophthalmology at UCSF is committed to engaging in research activities and providing state-of-art patient care that address infectious and inflammatory disease that cause blindness. The mission is the prevention of blindness worldwide through research and teaching focused on infectious and inflammatory eye disease.

ABOUT UCSF
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences.

Required Qualifications

• BA/BS degree with a major in related field (e.g. biostatistics, public health, epidemiology) and two years of experience in project management or clinical research, or an equivalent combination of education and experience
• Proficiency with computers, including ability to operate personal computer software (for example, Word, Access and Excel, email, electronic calendaring, Internet, et cetera) with sophisticated retrieval, storage, and merging capabilities
• Independence, planning and decision making abilities to complete assigned duties
• Time management skills and the flexibility to accommodate changing priorities in unit
• Strong organizational skills, the ability to multi-task, and work with frequent interruptions

Preferred Qualifications

• Graduate degree in epidemiology, biostatistics, statistics, public health or related field and two to three years of relevant experience, or an equivalent combination of education and experience
• Knowledge of relevant Federal and State regulations, and policies
• Excellent customer service skills, pleasant, helpful and patient
• Effective, efficient and tactful oral and written communication skills
• Ability to work in a team oriented setting, to prioritize work, and to follow through on routine assignments with minimal direction
• Ability to problem solve issues; listen, interpret and confirm understanding of others’ communications; and, to be objective
• Understanding of HIPAA and Institutional Review Board (IRB) approval process
• Ability to develop budgets and track finances
• Experience in writing, editing, and reviewing scientific manuscripts
• Experience conducting literature reviews and writing scientific papers
• Experience in clinical research or demonstrated research or training experience that translates into a clinical research setting
• Knowledge of medical and scientific terminology

To apply, click HERE

Epidemiologist, CDC Foundation

Category : Alumni

Description
The CDC Maternal Health Team and CDC Foundation have partnered to implement a project to increase U.S. capacity for collecting and using maternal mortality review data related to pregnancy-associated overdose deaths, in order to help develop a national picture of opportunities for eliminating these preventable maternal deaths. The project will provide support and resources to selected maternal mortality review committees, implement enhancements to the CDC developed Maternal Mortality Review Information Application (MMRIA), develop guidance for abstracting, reviewing, and using data on pregnancy-associated overdose deaths, and identify recommended approaches for prevention.
The Epidemiologist works closely with the Lead Epidemiologist, Project Manager, and the Senior Partnerships and Outreach Manager for the Building US Capacity to Review and Prevent Maternal Deaths Initiative to support project activities.
Responsibilities
• Analyze both qualitative and quantitative data from MMRIA
• Lead or co-lead qualitative and quantitative analysis webinars and in-person trainings.
• Provide distance-based and onsite technical support for selected maternal mortality review committees in analyzing and using qualitative and quantitative data collected on pregnancy-associated overdose deaths.
• Serve as lead writer and analyst on at least one publication.
• Serve as lead reviewer of toolkits or guidance documents related to informant interviews or focus group discussions.
• Contribute to additional reports and communication products from the project as needed.
• Build and manage partnerships with organizations to expand and support project work.
• Promote project at meetings and conferences as needed.

Qualifications
• A Master’s degree is required (preferably in Epidemiology, Anthropology, Psychology, or a related field); a Doctorate degree in one of the aforementioned fields is preferred
• At least two years of experience leading the analysis of both qualitative and quantitative data
• Proven ability to publish in peer-reviewed journals and present findings at conferences
• Proficient in at least one statistical analysis software program; SAS is preferred
• Proficient in at least one qualitative analysis software program; MaxQDA is preferred
• Facilitation and conflict management skills; flexible and adaptable
• Detail-oriented with strong organizational skills
• Able to work independently and within a team environment
• Strong communication skills, both written and oral

For more information and to apply, click HERE.

Emory Resources for Data Management & Thesis

Category : Student Opportunities

Emory University Libraries staff in the Scholarly Communications Office have a great lineup of helpful instruction for the spring semester. See below for descriptions of the offerings and then go to this site to pick your date and location and register. Please contact me if you have any questions.

Data Management Series: three different sessions at multiple times

Intro to Data Management

Audience: faculty, grads, and undergrads; one session at multiple times

Learn about managing your research data at Emory. Where should you save your data, how should you organize your files, what’s a data management plan and why should you have one for your project?

Documenting Data

Audience: faculty, grads, and undergrads; one session at multiple times

Learn about documenting the data produced in your research. What’s a file naming convention, should you file or pile your digital data, and when do you need to README?

Sharing Data

Audience: faculty, grads, and undergrads; one session at multiple times

Learn how to responsibly share research data. How do you select a data repository, what are the steps to deposit data, and where can you get help preparing data to share?

Copyright & Your Electronic Thesis or Dissertation

Audience: undergrads and grads, one session at multiple times

Will your thesis or dissertation raise copyright issues?  Learn about navigating copyright and author rights in a digital environment! The workshops will answer questions like …

  • Everyone quotes the work of other scholars in their dissertation. As long as the quotes are acknowledged, does this ever raise copyright issues?
  • I found a photo online on a website. Can I include it in my dissertation since everything’s free on the internet?
  • Should I pay to register copyright for my dissertation?
  • I have this great film clip from the 1940s with images and music that I’d like to include with my dissertation. Are there different copyright rules for audio-visual formats?
  • Chapter 1 of my dissertation has been published in a journal. Is this a problem?

Submitting Your Electronic Dissertation/Thesis

Audience: undergrads and grads, one session at multiple times

A hands-on workshop for students required to submit an electronic thesis or dissertation (Honor’s undergraduate, MA, MPH, PhD) covering how to use the Woodruff Library’s Electronic Theses and Dissertation (ETD) site. We’ll take you through each step of the submission process.

  • If your thesis or dissertation is ready to submit at the time of the workshop, you’ll be able to complete the process, so bring your completed electronic files. These files should include a PDF of your thesis or dissertation and any supplemental files (such as videos, audio recordings, or data sets).
  • If you’re still working on your thesis or dissertation, you can save yourself time by preparing before you begin your actual ETD submission. Review these 5 Tips Before You Submit on our instructions page for guidance.

RSGA Coffee Hour, 1/31

Category : Archive

Discuss student activities with RSGA over free coffee, hot chocolate or tea this Thursday!

University of Massachusetts Accepting PhD Applications

Category : Alumni

PhD program still accepting applications: The University of Massachusetts Medical School Department of Population and Quantitative Health Sciences is still accepting applications for doctoral training in clinical and population health research (deadline: March 1, 2019). This post-master’s program offers competitive stipends ($31,850 + health insurance and tuition and fees), a curriculum individualized to each student’s research interest, and full immersion into the research enterprise from day 1 in the program. See the brochure for more details and feel free to contact Kate [dot] Lapane [at] umassmed [dot] edu for further information.

Faculty Spotlight: Dayna Johnson

Category : #WeAreEmoryEPI

Dayna A. Johnson, PhD, MPH, MSW, MS

My research is aimed at understanding the root causes of sleep health disparities and their impact on cardiovascular disease by 1) addressing the social and environmental determinants of sleep disorders and insufficient sleep; and 2) investigating the influence of modifiable factors such as sleep disorders and disturbances on disparities in cardiovascular outcomes.

Favorite Lecture to Teach: Social determinants of sleep

How I interact with students: I have 4 students that work in my research lab. They help with launching new studies, scoring sleep, literature searches and participate in manuscript as well as grant preparation.

Twitter Handle: @DrDaynaAJohnson

Fun Facts: I have run 4 half marathons and was on a marathon relay team.

Recent Publications: 

Johnson, D. A., et al. (2018). “Prevalence and correlates of obstructive sleep apnea among African Americans: the Jackson Heart Sleep Study.” Sleep 41(10).

Johnson, D. A., et al. (2018).  “Association Between Sleep Apnea and Blood Pressure Control Among Blacks: Jackson Heart Sleep Study.” Circulation.

 

Summer Internships 2019, RStudio

Category : Student Opportunities

We are excited to announce the second formal summer internship program at RStudio. The goal of this program is to enable RStudio employees to collaborate with students to do work that will help both RStudio users and the broader R community, and help ensure that the community of R developers is as diverse as its community of users. Over the course of the internship, you will work with experienced data scientists, software developers, and educators to create and share new tools and ideas.

The internship pays approximately $12,000 USD (paid hourly), lasts up to 10-12 weeks, and will start around June 1 (depending on your availability, applications are open now, and close at the end of February. To qualify, you must currently be a student (broadly construed – if you think you’re a student, you probably qualify) and have some experience writing code in R and using Git and GitHub. To demonstrate these skills, your application needs to include a link to a package, Shiny app, or data analysis repository on GitHub. It’s OK if you create something specifically for this application: we just want to know that you’re already familiar with the mechanics of collaborative development in R.

RStudio is a geographically distributed team which means you can be based anywhere in the United States (we hope to expand the program to support interns in other countries next year). This means that unless you are based in Boston or Seattle, you will be working 100% remotely, though you will meet with your mentor regularly online, and we will pay for you to travel to one face-to-face work sprint with them.

We are recruiting interns for the following projects:

Calibrated Peer Review – Prototype some tools to conduct experiments to see whether calibrated peer review is a useful and feasible feedback strategy in introductory data science classes and industry workshops. (Mine Çetinkaya-Rundel)

Tidy Blocks – Prototype and evaluate a block-based version of the tidyverse so that young students can do simple analysis using an interface like Scratch. (Greg Wilson)

Data Science Training for Software Engineers – Develop course materials to teach basic data analysis to programmers using software engineering problems and data sets. (Greg Wilson)

Tidy Practice – Develop practice projects for learners to tackle to practice tidyverse (or other) skills using interesting real-world data. (Alison Hill)

Teaching and Learning with RStudio – Create a one-stop guide to teaching with RStudio similar to Teaching and Learning with Jupyter (https://jupyter4edu.github.io/jupyter-edu-book/) (Alison Hill)

Grader Enhancements – grader works with learnr tutorials to grade student code. This project will enhance this ambitious project to help grader identify students’ exact mistakes so that it can help students do better. (Garrett Grolemund)

Object Scrubbers – A lot of R objects contain elements that could be recreated and these can result in large object sizes for large data sets. Also, terms, formulas, and other objects can carry the entire global environment with them when they are saved. This internship would help write a set of methods that would scrub different types of objects to reduce their size on disk. (Max Kuhn and Davis Vaughan)

Production Testing Tools for Data Science Pipelines – This project will build on “applicability domain” methods from computational chemistry to create functions that can be included in a dplyr pipeline to perform statistical checks on data in production. (Max Kuhn)

Shiny Enhancements – There are a several Shiny and Shiny-related projects that are available, depending on the intern’s interests and and skill set. Possible topics include: Shiny UI enhancements, improving performance bottlenecks by rewriting in C and C++, fixing bugs, and creating a set of higher-order reactives for more sophisticated reactive programming. (Barret Schloerke)

ggplot2 Enhancements – Contribute to ggplot2 or an associated package (like scales). You’ll write R code for graphics, but mostly you’ll learn the challenges of managing a large, popular open source project including the care needed to avoid breaking changes, and actively gardening issues. You work will impact the millions of people who use ggplot2. (Hadley Wickham)

R Markdown Enhancements – R Markdown is a cornerstone product of RStudio used by millions to create documents in their own publishing pipelines. The code base has grown organically over several years; the goal of this project is to refactor it. This involves tidying up inconsistencies in formatting, adding a comprehensive test suite, and improving consistency and coverage of documentation. (Rich Iannone)

Apply now! Application deadline is February 22nd.

RStudio is committed to being a diverse and inclusive workplace. We encourage applicants of different backgrounds, cultures, genders, experiences, abilities and perspectives to apply. All qualified applicants will receive equal consideration without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, or physical disability. However, applicants must legally be able to work in the United States.

2019 Experiential Internship (Graduate Level) – Health Economics & Outcomes Research

Category : Student Opportunities

As an AbbVie Experiential Intern, you’ll participate in a paid, ten to twelve-week summer program that is focused on providing students with robust projects throughout the summer. As an intern, you will be located at our corporate headquarters in north suburban Chicago, with housing and shuttle services for eligible students. Throughout the summer, there are planned development and networking activities for the interns.  

The purpose of the internship is to provide meaningful, professional hands-on experience to students with proven academic performance and leadership potential. AbbVie hires students into this internship program based on business need. Ideal candidates will combine technical and business knowledge with analytical strength and creative problem solving abilities.

Department Overview – Health Economics and Outcomes Research (HEOR)

AbbVie’s Health Economics and Outcomes Research (HEOR) division generates innovative, high-impact evidence to help define the unmet need and value of innovative therapies to relevant stakeholders. HEOR strives to:

  • Inform strategic decisions and help ensure that patients can access and benefit from appropriate therapies
  • Develop and guide pricing & reimbursement strategies based on evaluation of public health policy & reimbursement environment and scientific collection & analysis of clinical, economic and patient-reported outcomes data
  • Leverage innovative research approaches and partnerships to maximize the use of real-world evidence (RWE) and patient-centric outcomes research for informing internal and external decisions that positively impact patient lives.

Assignment Details

Intern assignments may include, but are not limited to, literature reviews, patient-reported outcomes studies, retrospective claims database analyses, prospective observational studies, and economic model development. Intern may work in one or more disease states within the areas of Immunology, Oncology, Neuroscience, Virology, Endocrinology and Women’s Health to support efforts for on-market or pipeline assets. Tasks may include conceptualizing research plans, protocol development, managing vendors, and writing/ presenting results. Interns may develop analysis plans and conduct analyses of internal databases and/or clinical trial data. Interns may assist in creation of scientific materials like slide decks, white papers, abstracts or manuscripts for disseminating research findings to internal/external audience. Intern will be responsible for attending team meetings, department meetings, and cross-functional team meetings to gain a better understanding of the role of HEOR within the biopharmaceutical industries and at AbbVie.

Basic

  • Must be currently enrolled in a graduate level program at an accredited university (Master’s or PhD or PharmD) preferably in the fields of pharmacy, health economics, health policy, epidemiology, statistics, data analytics, economics and psychology and related disciplines in life sciences
  • Strong academic performance, minimum cumulative GPA = 3.0/4.0
  • Completed at least 1 year of graduate level studies prior to internship experience
  • Must be enrolled in an accredited program for at least one additional semester following your internship

 

Preferred Requirements

  • Doctoral Candidate with course work in epidemiology, research methods or statistics.
  • Prior internship/research experience
  • Exceptionally demonstrated interpersonal skills
  • Proven leadership skills
  • Demonstrated oral and written communication skills
  • Proficiency in Microsoft Word, Excel, and PowerPoint
  • Adept in data analysis using statistical package (e.g. SAS)
  • Prior experience in conducting literature review

For more information and to apply, click HERE

Oxfam, Data and Information Analyst

Category : Alumni GLEPI

Oxfam International has been refining and improving processes related to annual planning (programs and resources), program quality reflection, operational progress and budget reporting, and program results reporting. These processes and formats generate quantitative and qualitative data, as well as information on Oxfam programs and resources.

The data and information are to be collated, aggregated, analyzed, visualized/displayed, and used in decisionmaking and governance processes. Some of the analyses are routine and pre-defined by Oxfam’s annual and quarterly management and reporting processes; others are ad-hoc, one-time, and/or tailored to specific questions and needs. Quantitative analyses require descriptive and some inferential work, as well as data visualization. Analyses may be both inductive and deductive, depending on purpose and questions raised. It may be necessary to set up syntax, in appropriate statistical software, to import, merge and analyze data and provide visualization on a routine basis with new data collected annually. Products will range from PowerPoints summarizing findings, to brief written narrative pieces, to Excel sheets with aggregated data, to infographics visualization pieces. When analyses are written up in narrative form, they should be suitable for brief, user-friendly, wide-consumption pieces such as Workplace posts, blog posts, podcasts, etc.

Examples of existing processes that need data analysis

1. Evaluation reports

2. Planning and reporting exercises from different groups, from which we need to extract topline summaries

3. Questionnaires (e.g. customer satisfaction; consultations, systems for mutual accountability and stakeholder feedback)

4. Analysis and sense-making of progress reports

5. Output reports (quantitative and qualitative data)

Approach

The clients of analyses, and main consumers of the analyst’s work, are mainly management and governance staff, such as regional directors, country directors, regional leadership teams, global program director, knowledge for impact director and team, operations director and team, governance bodies. The approach of the analyst will entail:

• working with clients to understand and help define/sharpen their questions based on their purpose and needs;

• preparing datasets as needed (e.g., by importing, or merging, or extracting, etc.);

• conducting analyses;

• preparing and sharing the output in an appropriate and user-friendly format;

• discussing and validating it with clients;

• advising, in an iterative process as appropriate, on what questions the data, information and analyses can and cannot answer;

• refining, adding, or adjusting as necessary based on client inputs and requests; and

• finalizing the analysis products to be used internally and externally

In this, the analyst will take a strong customer-focused approach and maintain customer satisfaction as a key measure of success. At the same time, the analyst will maintain the appropriate level of rigor in handling, managing, and analysing all data and information. While not setting the agenda for analyses or defining the purpose and questions, the analyst will be expected to liaise with various Oxfam teams and departments to understand the work well enough – particularly the larger processes that produce the data and information – to perform analyses and advise on them in ways that are appropriate and fit-for-purpose.

In addition, the analyst will collaborate with Oxfam Affiliates to bring together datasets for cross-confederation use and analysis. These may be data expressly collected for monitoring, evaluation, and/or research purposes, or data generated in the course of Oxfam performing its work, such as data in various management systems and reports. In either case, the work will require designing the merge and resulting new dataset, and working with colleagues in Oxfam Affiliates to carry out the

Skills

• Quantitative, qualitative, and mixed methods analysis

• Statistical software (with preference for open-source solutions)

• Qualitative analysis software a plus • Strong customer focus

• Ability to balance rigor with creative approaches to arrive at fit-for-purpose products

• A sense of humour and a dose of patience

• Problem-solving attitude and track record

• Strong interpersonal skills

• Ability to communicate analyses to management without jargon, in a succinct, easy to digest manner

• Cross-cultural communication or experience in cross-cultural/international settings a plus

• Experience working virtually and remotely

• Willingness to work outside of usual office hours to accommodate different time zones

• Ability to plan work, self-direct, and meet short deadlines

• Fluent in both oral and written English. Working knowledge of Spanish and/or French is desirable.

Conditions:

This is offered as a consultancy for 12 months, from late January/early February 2019, on a full-time basis (approximately 35 hours per week). Why a short-term assignment? This is a new function that we need to test and learn. Eventually adapt or develop into a longer-term position in the program teams. The position will be reporting to the Knowledge for Impact Team (KIT) of Oxfam, with a % of the time dedicated to joint work between KIT and Operations, mainly the planning 2019-20 and the reporting 2018-19 cycles.

Location: home-based or one of the Oxfam offices.

Remuneration: to be discussed

Contact: Velina Petrova (Velina [dot] petrova [at] oxfam [dot] org) and Cristina Sette (Cristina [dot] sette [at] oxfam [dot] org)

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Upcoming Events
  • Biostatistics and Bioinformatics Seminar November 14, 2024 at 12:00 pm – 1:00 pm Seminar Series Event Type: Seminar SeriesSpeaker: Brian J Reich, PhDContact Name: Mary AbosiContact Email: mabosi@emory.eduRoom Location: CNR PLAZA - Rollins AuditoriumTitle: Spatial Confounding and Preferential Sampling
  • GCDTR Presents: Dr. Linelle Blais November 18, 2024 at 12:00 pm – 1:00 pm Guest Lecture; tinyurl.com… Online Location: https://tinyurl.com/LinelleBlaisEvent Type: Guest LectureSeries: GCDTR SeminarsSpeaker: Dr. Linelle BlaisContact Name: Wendy GillContact Email: wggill@emory.eduRoom Location: RRR_R809Link: https://tinyurl.com/LinelleBlaisGCDTR Seminar Presents: The Diabetes MATCH Initiative: Mobilizing Access Through Capacity Building & Health Equity
  • Biostatistics and Bioinformatics Seminar November 21, 2024 at 12:00 pm – 1:00 pm Seminar Series Event Type: Seminar SeriesSpeaker: George Tseng, PhDContact Name: Mary AbosiContact Email: mabosi@emory.eduRoom Location: CNR PLAZA - Rollins AuditoriumTitle: Multi-faceted and outcome-guided cluster analysis for disease subtyping of omics data
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