Jack Conrad Friedrich
I/O Psychologist · Data Scientist · Researcher
PhD Candidate, Saint Louis University · Bern, Switzerland
I/O Psychologist · Data Scientist · Researcher
PhD Candidate, Saint Louis University · Bern, Switzerland
I'm an organizational researcher and data scientist finishing a PhD at Saint Louis University. I study the conditions under which science goes well and goes wrong — and I build the kind of data infrastructure that helps organizations make better decisions.
[Add a personal sentence or two about what drew you to this field.]
My dissertation examines questionable research practices in the organizational sciences: how researchers perceive them, what drives those perceptions, and what it means for the credibility of organizational knowledge. I've published nine peer-reviewed articles, including a co-authored piece in Science.
On the applied side, I'm an Associate Data Scientist at Nestlé Purina PetCare, where I build time-series forecasting models and market research infrastructure. I've consulted for a US reinsurance firm, academic medicine departments, and a large UK-based organization.
[Optional: Add something personal about life outside work.]
I'm relocating to Bern, Switzerland in May 2026. Swiss B permit via family reunification — no sponsorship required. Open to research collaborations, consulting engagements, and full-time roles in data science or applied organizational research.
Get in touch: jackcfriedrich@gmail.com
More than Perverse Incentives: Questionable Research Practices in the Organizational Sciences
Saint Louis University · Expected May 2026
[Describe your dissertation here in your own words — what you studied, what you found, why it matters.]
Funded by the Dustin Jundt Legacy Student Thesis & Dissertation Fund ($300) and the Knoedler Student Research Funds ($500), Saint Louis University.
Coles, N. A., Tenney, E. R., Chin, J. M., Friedrich, J. C., O'Dea, R. E., & Holcombe, A. O. (2024). Team scientists should normalize disagreement. Science, 384(6700), 1076–1077.
Rudolph, C. W., Friedrich, J. C., Koziel, R. J., & Zacher, H. (2025). Character strengths use at work: A meta-analysis of relations with work performance and employee wellbeing. Applied Research in Quality of Life.
Giancola, J. K., Webster, I. D., Friedrich, J. C., & Burroughs, T. E. (2025). Development of a mentee behaviour scale for workplace mentoring partnerships. International Journal of Evidence Based Coaching and Mentoring, 23(1), 284–299.
Cobb, H. R., Friedrich, J. C., & Thomas, C. L. (2023). Opening up: Using our science to improve science. The Industrial-Organizational Psychologist, 60(1), 18–23.
Friedrich, J. C., Koziel, R. J., Zacher, H., & Rudolph, C. W. (2022). Work ability mediates the relationships between personal resources and work engagement. Merits, 2(4).
Full publication list and conference presentations available on request.
[Add a sentence or two about your consulting approach — what makes you distinctive, what you offer.]
Leadership Measure Development · April–August 2024
Developed evidence-based survey measures for two novel leadership constructs — organizational resilience and leadership mindset and capability of strategic renewal — for integration into RGA's annual employee engagement survey.
Mentoring Program Evaluation · 2023–2024
Conducted needs analyses, analyzed data, and prepared formal consulting reports for mentoring programs across two departments — Internal Medicine and Pediatrics. Also facilitated strategic planning sessions and contributed to scale development work that became a peer-reviewed publication.
DEI Analysis & Workshop Facilitation · 2023–2024
Conducted quantitative analyses for an annual DEI report for a large UK-based organization, facilitated focus groups aimed at improving organizational climate, and co-delivered Introduction to DEI workshops.
Associate Data Scientist · 2024–Present
Building time-series forecasting models in Azure Databricks, Power BI dashboards for business stakeholders, and survey infrastructure supporting consumer and market insights across the pet care category.
Stack: R (tidyverse), Python (PySpark, Pandas, NumPy), Azure Databricks, Power BI, Qualtrics.
For consulting enquiries: jackcfriedrich@gmail.com