Apply for the Big Data Summer Immersion at Yale. Application Opens on Dec 15, 2024

Dear Colleague, You are receiving this email as someone who may work or interact with undergraduate students who have interests and talents in mathematics/statistics, biomedical/health sciences, and/or data science. These students may be well suited for Summer Institute in Biostatistics (SIBS) Programs, which we hope to bring to their attention. As a new SIBS site at Yale University, we are excited to introduce Big Data Summer Immersion at Yale (BDSY). Applications for the BDSY program open on Dec 15, 2024.  We would be grateful if you could share this email with undergraduate-level students who might be interested in this opportunity. Please feel free to share this PDF flier. Thank you!  Sincerely, Big Data Summer Immersion at Yale Program Team

What is the Summer Institute in Biostatistics and Data Science program? The Summer Institute in Biostatistics (SIBS) and Data Science is sponsored jointly by the National Heart, Lung, and Blood Institute (NHLBI) and the National Institute of Allergy and Infectious Diseases (NIAID). The comprehensive six to seven week summer training course on biostatistics and principles of data science combines classroom learning with career mentoring and hands-on data analysis using data collected from clinical studies in prevention and treatment of infectious, immune-mediated, and chronic diseases. Designed to address a growing imbalance between the demand and supply for biostatisticians and data scientists, the course targets undergraduates and beginning graduate students who are interested in learning about biostatistics, and encourages them to consider graduate programs related to biostatistics and data science. The typical curricula include an intensive introduction to biostatistical approaches and research by exposing participants to the principles, methodologies, uses, and applications of statistical methods in biomedical and clinical research.

What is special about the Big Data Summer Immersion at Yale? After ten outstandingly successful years at the University of Michigan, the SIBS program is launching at the Yale School of Public Health. Yale University, with its rich landscape of teaching, research and practice in data science and health, provides a perfect setting to launch this program in the summer of 2025. The students will stay in the beautiful residential colleges at Yale University campus. Undergraduate trainees joining this six-week immersion program will go through preparatory bootcamp in R, Python and Statistical learning in the first two weeks. Each morning, they will attend didactic lectures by stellar faculty in biostatistics, epidemiology, statistics, computer science, biomedical data science and each afternoon they will work in small groups on mentored research projects, supported by a graduate student and a faculty mentor. The projects will be in the areas of infectious disease modeling, causal inference, and genomics. Public health, medicine, social science and policy researchers will share their perspectives on using data science for improving human health. Throughout the program, the students will attend professional development workshops and have an opportunity to bond over social events. At the end of six weeks, they will present their research in a concluding symposium through posters and oral presentation. In our morning lectures, we will focus on responsible and ethical use of data science and artificial intelligence in this iteration of the program. For application details, visit  sph.yale.edu/bdsy  Link to BDSY Website Click below for more details about Summer Institutes in Biostatistics (SIBS) Link to NIH - SIBS Program

Data Science Bootcamp in DC – Summer 2025

Call for Applications: Data Science Bootcamp in DC – Summer 2025

The Department of Statistics at The George Washington University (GWU) is hosting a four-week Data Science Bootcamp from May 19 to June 13, 2025. Applications are now open to rising sophomores, juniors, and seniors.

Duration: 4 weeks (May 19 - June 13, 2025), including a project showcase on September 6, 2025.

Format: In-person at the GWU campus, with structured workshops, group projects, and guest lectures.

Application Deadline: January 20, 2025. 

Target Enrollment: The program aims to accept 20 students for the bootcamp.

Scholarships: The program offers a $2,000 stipend to each accepted student who completes the full four-week program, funded by an award from the Public Interest Technology (PIT) University Network program of New America. Room and board are not provided.

This immersive program aims to equip undergraduate students with essential data science skills to address pressing health equity and climate resilience issues. The curriculum focuses on building statistical thinking, navigating computing environments, completing hands-on projects with open health and climate data, advancing professional development, and engaging with expert guest lectures.

The program is led by GW faculty, Drs. Tatiyana Apanasovich (lead PI), Huixia Judy Wang (PI), and Fang Jin, in collaboration with Trinity Washington University (Dr. Kerry Luse and Dr. Kaitlin Wellens) and the University of the District of Columbia (Dr. Dong Hyun Jeong).

For program details and application info, visit this website: blogs.gwu.edu/apanasovich/announcement

New England Statistical Society's NextGen scholarships

Please see the following scholarship opportunity:

Please help spread the word about the New England Statistical Society's NextGen scholarships for underrepresented minorities in statistics and data science! 

Eligibility: 

• Graduating high school senior or first/second-year undergraduate student 

• Persons from the following racial/ethnic backgrounds: American Indian/Alaskan Native, Black/African American, Hispanic, and Native Hawaiian or Pacific Islander  

• Will be enrolled in a U.S. college or university for the upcoming 2025-2026 academic year 

• Shows a genuine interest in statistics and data science through coursework, extracurricular activities, and/or future goals 

Deadline: May 1, 2025 

Amount: at least $1,000 

Applications are currently open, apply here: https://nextgenscholarship.nestat.org/ 

------------------------------
Katherine Zavez
On behalf of the NextGen Committee
New England Statistical Society (NESS - https://nestat.org)
------------------------------

Summer program for undergraduates: QSURE Call for Application

 Please see the following summer research opportunity:

We are now accepting applications for QSURE’s Summer 2025 program! All application materials must be submitted by 5pm EST on January 18^th, 2025. If you know of any undergraduate students interested in pursuing hands-on research in Epi/Biostats/Health outcomes/Comp Onc, please share this with them.

 

Attached is a flyer if you’d like to forward to other colleagues in your network who work with undergraduates. Alternatively, here is a tweet from the MSK Biostatistics Service!

 

For program details and to apply, please visit: https://www.mskcc.org/qsure

 

We strongly encourage students from groups historically underrepresented in quantitative sciences (disadvantaged, disabled, Black, Hispanic/LatinX, Native American) to apply!

 

Thank you!

 

Richard Koppenaal

 

Richard Koppenaal (He/him)
Senior Project Coordinator
Epidemiology & Biostatistics

Memorial Sloan Kettering Cancer Center
633 3rd Avenue, 3rd Floor
New York, New York 10017

Main: 9739022084

koppenar@mskcc.org

Apply by Dec. 1: Join Michigan Biostatistics and Make an Impact

 

Join the Interest List

Are you passionate about mathematics, science, or data-driven problem-solving? The University of Michigan Department of Biostatistics invites you to apply for our graduate programs and bring your unique perspective to a top-ranked program where quantitative skills meet real-world impact. The deadline to apply for our graduate programs -- MS in Biostatistics, MS in Health Data Science, or PhD in Biostatistics -- is December 1, 2024. APPLY BY DECEMBER 1

Why Study Biostatistics? Biostatistics is a multidisciplinary field that combines mathematics, data science, and scientific inquiry to address some of the world’s most pressing health challenges. Whether you’re designing clinical trials, analyzing population health data, or applying machine learning to biomedical research, biostatistics empowers you to make a difference.

Who Studies Biostatistics? Math, Statistics, and Quantitative Students: Hone your theoretical skills and apply cutting-edge topics like Bayesian methods, causal inference, and high-dimensional data analysis to the day’s pressing questions in public health and biomedicine. At Michigan, your analytical abilities will thrive in a collaborative and supportive environment. Biological, Medical and Social Sciences Students: Address critical public health and biomedicine questions through interdisciplinary research in genomics, epidemiology, and health disparities. Michigan’s strong ties to public health and medicine positions your training and work to have a direct global impact. Data Science and Engineering Students: Apply computational methods, machine learning, and big data analytics to tackle complex datasets from genomics, imaging, and beyond. With Michigan’s robust computational resources, you’ll be at the forefront of innovation.

Why Study Biostatistics at Michigan? Built on a 75-year tradition of excellence in research, the Department of Biostatistics at the University of Michigan is routinely recognized among the best biostatistics programs in the country. In the latest U.S. News and World Report rankings, Michigan was tabbed at No. 4 nationally. Biostatistics is a field with interdisciplinary collaboration at its core, and the University of Michigan is one of the best institutions in the world for collaborative research to take place. Between the wide-ranging expertise of its faculty members and the external partners at Michigan Medicine and many other nationally recognized departments on campus, many exciting projects are always ongoing in Michigan Biostatistics. Collaborate on projects in genomics, environmental health, cancer research, emerging technologies, big data, health disparities, and more. The work of biostatisticians contributes to research that shapes healthcare practices around the world. Graduates thrive in academia, government agencies, industry, and healthcare organizations after graduation. Establish new friendships and connections with peers from around the country and the world. In addition to many academic event offerings like seminars and workshops on emerging techniques and technologies, interact with one another at numerous social events including ice skating, department picnics, movie night, cultural celebrations, and more

Ready to Apply? The clock is ticking—submit your application by December 1, 2024. BEGIN YOUR APPLICATION TO MICHIGAN BIOSTATISTICS

Our Alumni are Making a Difference in the World 100% of our 2021 graduates are employed or pursuing an advanced degree Find out more about what our alumni are doing after graduation

Please also reach out to us via email at sph.biostat.admissions@umich.edu for more information about our programs. You are also encouraged to email any of our many faculty members; given their many diverse methods and applications, you are very likely to share research interests with one or more.

1415 Washington Heights • Ann Arbor, MI 48109-2029 • sph.umich.edu/biostat

Michigan Biostatistics