Thursday, September 24, 2026

NISS Virtual Grad School Fair: MS & PhD Programs in Statistical Sciences


NISS Virtual Grad School Fair: MS & PhD Programs in Statistical Sciences

Date: Friday, September 25, 2026 - 12:00pm to 2:00pm ET
Event Page: [link]
Zoom Registration Link: [link]

Overview

The NISS Academic Affiliates Committee organized an informative and inspiring virtual graduate school fair tailored specifically for undergraduate students interested in pursuing advanced degrees in Statistics, Biostatistics, and Data Science!

Are you an aspiring data enthusiast looking to take your passion to the next level? Join us for an informative and inspiring event tailored specifically for undergraduate students interested in pursuing PhD or MS degrees in Statistics, Biostatistics, and Data Science!

Register on Zoom
Participating Universities
Full List of Presenters (12-2pm ET)

Rice University, Department of Statistics

University of Pittsburgh, Department of Biostatistics

The Ohio State University, Department of Statistics

Washington University in St. Louis, Department of Statistics and Data Science

Texas A&M University, Department of Statistics

University of Missouri, Department of Statistics

North Carolina State University, Department of Statistics

Purdue University, Department of Statistics


Event Highlights

Exploring Grad School Paths: Discover the diverse array of opportunities that advanced degrees in Statistics, Biostatistics, and Data Science can offer. Learn about the unique career trajectories, research areas, and real-world applications that await you in these exciting fields.

Program Overviews: Get an in-depth look at renowned PhD and MS programs from esteemed institutions. Representatives from top universities will present comprehensive overviews of their programs, covering curriculum details, faculty expertise, research facilities, and more.

Application Insights: Receive valuable tips and strategies for crafting a compelling application package that stands out to admissions committees. From personal statements to letters of recommendation, our experts will guide you through the key components of a successful application.

Interactive Q&A Session: Participate in an interactive Q&A session with experienced professionals and academic advisors. Gain firsthand knowledge about the challenges and triumphs of pursuing an advanced degree in these fields, and have your burning questions answered.

Don't miss out on this golden opportunity to set your grad school aspirations in motion! Whether you're curious about the research landscape, eager to hear success stories, or seeking guidance on your next steps, this event is designed to empower you with the knowledge and connections you need to thrive in the world of advanced statistical studies.

**Registration is free!** Secure your spot today and embark on a journey towards a future fueled by data-driven excellence.

We look forward to welcoming you to an event that could shape your future in the world of Statistics, Biostatistics, and Data Science!



Monday, August 31, 2026

Bailey College Fall Career Fair


Fall ‘26 – Bailey College of Science & Mathematics Career Fair

Date: September 11, 2026 

Time: 10:00 AM – 2:00 PM 
Location: California Polytechnic State University, San Luis Obispo 
Expected Attendance: ~800 students
This college-specific career fair will connect Bailey College students with employers and organizations offering internship, full-time employment, research, and graduate opportunities across a wide range of STEM disciplines:
Life & Environmental Sciences
Physical & Quantitative Sciences
Health & Education

Monday, August 24, 2026

StatFest 2026

 

StatFest is a free conference that introduces undergraduate students from historically underrepresented groups to graduate study and career opportunities in statistics and data science. Students can explore career pathways, connect with graduate students and professionals, build their networks, and learn about opportunities beyond their home institutions. This is a valuable opportunity, particularly for students who may have had limited exposure to careers and graduate programs in statistics and data science. 

For additional information or questions, please contact Prince Allotey:

Prince Allotey, PhD 

Lecturer, Department of Statistics
STAT 2000 Course Coordinator   
University of Georgia
310 Herty Dr, Athens, GA 30602
Phone: 706-542-5919
E-mail: prince.allotey@uga.edu


Tuesday, April 28, 2026

Data Scrollytelling Contest

Contest organizers Sara Stoudt (Bucknell University) and Andrew Bay (UC Berkeley) are excited to announce a spring rendition of the Student Data Scrollytelling Contest, a competition showcasing innovative storytelling with data. Scrollytelling lets readers uncover a narrative as they scroll—layering visuals, zooming into maps, animating graphics, and pairing text with media to create an engaging experience.  Check out some of the organizers’ favorites:

Students may submit projects from coursework, independent research, or personal explorations. We’re looking for creativity, clarity, and impact—whether the goal is to inform, persuade, or inspire.

Key details:

We hope you’ll share this opportunity with your students as they plan and complete projects this semester.

Your contest organizers,

Sara Stoudt, Bucknell University

Andrew Bray, UC Berkeley

Tuesday, April 21, 2026

MMG Data Analysts and Web Producers Applications Open

The Mustang Media Group has opened their applications for Data Analysts and Web Producers for the 2026-27 academic year. Head to https://apply.mustangmediagroup.com/  for details and qualifications of each position. They would love for statistics students to apply! Applications close April 30 at 11:59 p.m.

Thursday, April 9, 2026

Job Opportunity for Graduating Students - SI-BONE

 Please see the below job opportunity from Cal Poly Alumnus:

Hello!

I graduated from Cal Poly in ’24 with a BMED degree. I now work for a medical device company called SI-BONE, and we have a new job opportunity that I wanted to share with our great Cal Poly students!

The job is for a Jr. Sales Operations Analyst and I think it would be especially great for someone in Stats/BioStats. This job involves working with multiple sectors of the company and frequent conversations with our CCO and senior leadership.

I’ll attach the job posting in this email. Interested students can reach out directly to me at Brendan.Rosenzweig@SI-BONE.com , I’m happy to refer good candidates. 

All the best,

Brendan Rosenzweig

Associate Product Manager

p: 408 556 0921

e: brendan.rosenzweig@si-bone.com

Book time to meet with me



SI-BONE is a fast-growing, publicly traded medical device company that is an industry 

pioneer in minimally invasive sacropelvic solutions. Our mission is to help patients rise up 

and reach for the stars, and our vision is to work together as the global leader to make 

sacropelvic conditions universally recognized and effectively treated through innovation, 

evidence, education, and advocacy.


Jr. Sales Operations Analyst

Reports To: Director of Sales Operations

Location: On-site, Santa Clara, CA

Travel: Up to 10%

About SI-BONE

SI-BONE® is a medical device company on a mission to improve the lives of patients suffering from sacroiliac (SI) pelvic conditions — one of the most under-served and under-diagnosed areas in orthopedics. Our iFuse Implant System® offers a minimally invasive alternative to traditional SI joint fusion surgery and has been used in over 90,000 procedures worldwide.

We are looking for people who share our passion for improving patient outcomes and who 

embody our core values:

• Agile — You thrive in a fast-paced environment and adapt quickly to change.

• Creative — You challenge the status quo and bring fresh thinking to every problem.

• A Team Player — You roll up your sleeves and collaborate to get things done.

Role Overview

The Jr. Sales Operations Analyst supports the field sales team in driving commercial  performance through data analysis, reporting, and operational execution. Reporting to the Director of Sales Operations, this role is ideal for a detail-oriented, analytically minded professional who is eager to build a career at the intersection of sales strategy and business intelligence in the medical device industry.

Key Responsibilities

Sales Analytics & Reporting

• Generate, maintain, and distribute regular sales performance reports, including the Sales Rollup and territory productivity summaries

• Support the development and upkeep of dashboards and KPI frameworks in Power BI and Salesforce to monitor pipeline health, forecasting accuracy, and commercial activity.

Territory & Account Management Support

• Maintain and update the Territory Snapshot (sales roster), ensuring accuracy across field assignments and account alignments.

• Support surgeon targeting, account segmentation, and physician profiling initiatives led by the Director of Sales Operations.

• Assist with territory structure analysis and coverage modeling to help optimize sales resources.

Sales Operations Support

• Assist in the coordination of the quarterly Planning & Review (P&R) process by compiling data, preparing materials, and tracking action items.

• Support the administration and adoption of commercial systems and tools, including Salesforce CRM, MedScout, Power BI, and sales automation platforms.

Cross-Functional Collaboration

• Collaborate with Finance, Marketing, and Operations teams to support revenue forecasting, incentive program tracking, and campaign ROI analysis.

• Assist with new product launch readiness by compiling relevant sales data and market insights.

• Help ensure compliance with internal pricing policies, contract requirements, and applicable healthcare regulations (e.g., Anti-Kickback Statute, Sunshine Act).

Qualifications

• Bachelor's degree required, preferably in Business, Finance, Economics, Data Analytics, or a related field.

• 1–3 years of experience in sales operations, business analysis, or a related analytical role; medical device or healthcare industry experience a plus.

• Proficiency in Microsoft Excel and PowerPoint; experience with Salesforce CRM and/or Power BI preferred. MedScout is a plus.

• Strong analytical skills with the ability to translate data into clear, actionable insights.

• High attention to detail, strong organizational skills, and the ability to manage multiple priorities simultaneously.

• Effective written and verbal communication skills with the ability to present findings to cross-functional stakeholders.

• Self-starter with a collaborative mindset and a genuine interest in contributing to a mission-driven organization.

Compensation Range: $65,000 - $85,000

SI‗BONE.is.an.equal.opportunity.employer.committed.to.building.a.diverse.and.inclusive.

workplace

Monday, April 6, 2026

SF State M.S. Quantitative Economics Info Session, Fri 4/17



About the Program:

Our MSQE program combines advanced training in economic theory, econometrics, data science, and programming to prepare graduates for high-impact, data-driven careers. A master's in Economics consistently ranks among the highest-paying graduate degrees.

Our graduates work as economic, business, and data analysts, data scientists, and research and policy analysts across private sector firms (e.g., Meta, Nike, Roblox, Wells Fargo, PG&E), government agencies (e.g., Federal Reserve Bank, U.S. Census Bureau, Bureau of Labor Statistics), non-profit and public-serving organizations (e.g., Kaiser Permanente, Clean Power SF), and think tanks (e.g., Bay Area Council Economic Institute). The program also serves as a strong pathway to top-ranked Ph.D. programs, with recent placements at UC Berkeley, UCLA, UC Davis, UC Santa Cruz, and the University of Wisconsin.

Program highlights

  • STEM-designated (eligible for a 24-month OPT extension for international students on F-1 visas)
  • Strong training in econometrics, data science, and programming
  • Access to Bay Area employers across tech, finance, policy, and consulting
  • Reduced tuition for students from 16 Western-states who pay California resident tuition rates

Students with strong quantitative backgrounds in economics, finance, math, statistics, computer science, or related fields are particularly well-suited for this program.

Upcoming Virtual Information Session:

Students unable to attend this session are welcome to email me (kirillch@sfsu.edu) to arrange an individual meeting.


More information about the program is available at: https://cob.sfsu.edu/quantitative-economics


Thank you for your time, and please don’t hesitate to reach out with any questions.


Best regards,

Kirill Chernomaz, Ph.D.
Professor and Graduate Program Coordinator
Department of Economics
San Francisco State University
1600 Holloway Ave, HSS 142
San Francisco, CA 94132
Phone: (415) 405-2699
Email: kirillch@sfsu.edu
Site: https://faculty.sfsu.edu/~kirillch/