Blended M.S. Statistics application now open

 Hello favorites,

I'm pleased to share that the application for admission to the blended M.S. in Statistics is now open at this link:  https://forms.office.com/r/VzTwRpckhW

You can preview all the questions on the first page of the form, so I strongly recommend writing these somewhere else first and then copying them in when you are ready to apply.  Note also that you are not asked for any letters of recommendation; only the names of two Cal Poly Stat faculty who are aware we may contact them for further information and recommendation.

Applications must be submitted by March 1, 2025 to receive full consideration.

Please note also that this is last year where the primary application cycle is targeted for current 4th years.  If you are a current 3rd year (or equivalent), you should apply now; waiting to apply until next year will drastically decrease your chances of admission.  Applying, and being accepted, does not commit you to the program - if admitted, you will still be able to consider other graduate programs or career options during your 4th year if you choose.

Finally, I simply want to mention that we are uniquely blessed in the Stat department with a group of incredibly high-quality major students.  This blessing becomes a bit of a curse during MS admissions season, because we simply do not have the class and faculty capacity to admit every deserving student.  Please know that we believe in every one of you, and we are here to support your success in your next steps, even if we aren't able to offer to you a spot in the blended degree.

Don't hesitate to reach out if you have any questions or concerns, and I am looking forward to meeting our next cohort!

Best,

Dr. B.

--

Dr. Kelly N. Bodwin

Associate Professor

Department of Statistics

California Polytechnic State University

Cal Poly DataFest

Apple Engineering Intern Networking Event Jan. 31

Please see the following networking opportunity:

 Hi folks,

 

I hope your winter quarter is off to a strong start!

 

I’m excited to share with you that Apple will be on campus on Friday, January 31^st, from 9am-12pm in the MAC.

 

Students who are interested in attending must first preregister; once their resumes are reviewed, selected students will be invited to speak with recruiters.

 

This is a great opportunity for math, stats, and physics students, especially those with strong resumes, applicable research experience, or are minoring in computer science.

 

Questions can be directed to calpoly@apple.com.

Chesapeake Research Consortium Data Programming Internships

 Project Description:

The NOAA Chesapeake Bay Office (NCBO) and Chesapeake Research Consortium (CRC) seek a summer intern for late May through mid-August 2024 (12 weeks) to assist with the continued development and updating the capabilities of a data visualization application for the Chesapeake Bay Interpretive Buoy System (CBIBS) and Hypoxia stations. The data visualization application is envisioned to have the capability to visualize environmental observation time series data, climatological data (synthesis of multiple years of data), vertical water column data and vector data (winds, currents) using open matplotlib in python. Web based plotting is also and options using a library like. Chart.js. Integrating the quality control values in the plotting is an important component of the data presentation. The position involves working with stakeholders in the Chesapeake Bay office to figure out how the data can be interpreted to enhance their programs.

There are 3 areas of work that the intern will have the opportunity to be involved in based on interest, experience and capacity. These areas are

• Continue work on Hypoxia Vertical Profile data plotting. This involves creating time series plots with quality control flags.
• Continue the CBIBS plotting data. This project would result in the creation of static plots from CBIBS data and has a web front end to view them.
• Combining the long term historical data with the current vertical profiling data to create climatology plots.

Opportunities

This internship provides a unique opportunity to contribute to the NOAA mission of providing high-quality observations in the Chesapeake Bay. There are opportunities to program in the full stack from the database, middleware up to the web presentation layers. There are also opportunities to go out on the NCBO boats for buoy maintenance. This internship offers the opportunity to develop skills in application development in support of data analysis and visualization used by internal NOAA audiences and ultimately members of the science community, education community and general public.  Additionally this position will provide insight into careers at the intersection of environmental science, programming, and systems engineering. This internship also provides an opportunity to apply these skills in the field and to expand the intern’s knowledge of Chesapeake flora and fauna.

Please see https://chesapeake.org/data-programming-internship/ for more information and links to apply. 

Florida’s 2025 Summer Institute in Biostatistics and Data Science Program Application

Please see the summer internship opportunity below. For more information and to apply visit this link: https://www.fau.edu/research-admin/cores/biostatistics-core/fl-summer-institute-biostatistics-data-science-program-2025/

Calling all undergraduate students or those recent graduates not currently in graduate programs, it’s time to discover how working with data can change your life through Florida’s Summer Institute in Biostatistics and Data Science Program (SIBDS), funded by the National Institutes of Health.

This opportunity is the key to understanding how data, driven by participants’ responses, can help draw conclusions on everything from why COVID-19 impacts certain populations more than others, to why clinical trials are important and a whole lot more.

When: May 19 to June 27, 2025

Where: FAU’s Boca Raton campus, 777 Glades Road, Boca Raton, FL

Deadline for Applications: March 14, 2025 (Applications will be reviewed continuously starting mid-December 2024, and interviews will begin late January 2025.)

Application Review: Applications will be reviewed continuously starting mid-December 2024 through March 14, 2025.

Interviews: The top 60 applicants ranked by coursework content and geographic region will be asked to schedule a 15-minute zoom meeting with a member of the Leadership Team to discuss their motivation, academic background and career interests. The Leadership Team will discuss all candidates together and then decide which students will be offered positions. We expect the last offer will occur in mid-April, 2025.

NOTE: If you have not been contacted to schedule an interview by mid-April, you have not been selected but may be put on a waitlist.

Prerequisites:

• Undergraduate or have graduated and uncertain about career plans
• Commit to a 35-hour week for six weeks (9 a.m. to 5 p.m.)
• Administrative: students will have to allocate their own money beforehand for flights/travel, food and entertainment for three weeks; after students arrive on 5/19 and spend a few days in the Program, we will begin processing their stipends which will cover these expenses and some others that are incurred during the Program. The delay is imposed to assess commitment and to maximize the stipend amount distributed to students.
• Able to acclimate to a group living situation if living on campus

Students will:

• be housed on campus which is covered by grant (unless they live close by)
• receive generous stipends for participation in the program (this is not a salary)
• learn principles of biostatistics, epidemiology, data science, scientific communication, social determinants of health and career opportunities including working with faculty (see schedule for 2024 )
• be mentored by expert faculty and peers
• participate in career workshops with practicing biostatisticians, epidemiologists, data scientists and population health experts, and graduate students
• conduct group projects using real data
• visit the beach, turtle rehabilitation nature center, Miami Marlins baseball, arcades, museums, and gather at dinners including barbeques

Should you have any questions, please email Dr. Katherine Freeman at kfreemancostin@health.fau.edu or Dr. Lun Ching-Chang at changl@fau.edu

Cal Poly Women's Volleyball Student Technical Coordinator Position Opening

Please see the volunteer opportunity below:

Hello everyone! My name is Frank Pham and I am a 3rd year RPTA major with a concentration in Sports and Recreation Management. Do you have an interest in doing data analysis and app development in sports at Cal Poly? I am the volunteer Technical Coordinator for the Cal Poly Women’s Volleyball Team doing data analysis and coding, and I am looking for students to fill my role once I leave next year. This opportunity is a great way to get involved on campus and be surrounded by a great group of players and coaches. All it takes is to fill out one form to potentially get involved. Knowledge of volleyball is preferred but not needed. If you’re interested, I am willing to teach you everything you need to know and more.

 

Please feel free to email me at fhpham@calpoly.edu if you are interested! To officially apply, please fill out the form below. Thanks
https://forms.gle/6spcijLUDzydT6np6

2025 National Collegiate Sports Analytics Championship

The 2025 National Collegiate Sports Analytics Championship will be held on February 18-19, 2025 in Nashville Tennessee. 

Graduating college students (seniors) and graduate students (currently in a MS program) compete to impress judges looking for top talent in analytics. Students analyze social media data from Zoomph and the PWHL to create five minutes of insights to present to judges in the championship to demonstrate their analytic, visualization and communication skills. Professionals judge the presentations based on (1) statistical analysis, (2) data visualization, (3) actionable insights, (4) communication, and (5) integrity.

More information can be found here.

 

The Prostate Cancer Clinical Trials Consortium (PCCTC) team is seeking a summer intern to contribute to the PCCTC mission while the PCCTC in turn provides exposure and support for interns interested in pursuing careers in clinical research or other health professions! The PCCTC’s distinguished clinical investigators work together on a single mission: to design, implement and complete hypothesis-driven trials in prostate cancer, translating scientific discoveries to improve standards of care. We offer services to carry out this mission ensuring efficient trial selection, reporting, site management, clinical operations and data management.

 

The summer intern will work directly with the PCCTC’s Data Science team, gaining hands-on experience with the data oversight and reporting aspects of clinical research within the framework of R programming and version control with git & GitHub. The intern will also have the opportunity meet and learn from staff in other PCCTC divisions, such as Business Operations, Data Management, Clinical Operations, Correlative Sciences and Monitoring.

We are seeking candidates with previous R or related programming experience; a nice-to-have is git and GitHub experience as well. Knowledge of introductory statistics is helpful; advanced statistics knowledge is not necessary. 

 

The 2022 Data Science intern wrote a blog post about her internship experience; please read it to learn more about our working environment: https://www.pipinghotdata.com/posts/2022-08-30-my-4-biggest-internship-takeaways/. 

 

The 10-week internship is full-time, paid, 100% remote, and working hours are 9-5 EST. The dates are flexible; approximate dates are June – August 2025.

You Are:

• Interested in learning more about careers in clinical research, healthcare, or data science.
• Able to work remotely from the US-based location of you choosing, 5 full days a week, 9am to 5 pm EST.
• Working towards your bachelor’s degree and actively enrolled in a formal degree program for the upcoming semester.

You need:

• Written programming code related to statistics / data science at an introductory level.
• Attention to detail and strong computer skills.
• Excellent communication and collaboration skills.

Pay Range $20.50 - $22.00

Click here to apply