Academic laboratories face a difficult balancing act. They must compete for talent, secure funding, support growing student populations, and maintain research productivity, often with fewer resources and rising expectations. At the 2026 Lab Manager Leadership Summit, Tarshae Drummond of Fayetteville State University described academic labs as being “at a crossroads,” where leaders must adapt quickly or risk falling behind.
Drummond’s session centered on a challenge many academic lab leaders know well: doing more with less. She pointed to declining federal budgets, growing competition from industry employers, and shifting workforce expectations as major pressures reshaping academic labs.
“Academia is competing with industry labs for our talent,” Drummond said, noting that younger professionals increasingly prioritize flexibility, career development, and workplace culture alongside salary.
Staffing shortages continue to strain academic labs
Those pressures extend beyond recruitment. High turnover disrupts research continuity, slows projects, and increases training burdens on senior staff. Several attendees described struggles with temporary staffing models, shrinking operational support, and rising enrollment without matching budget increases.
One attendee shared that their institution experienced a 60 percent increase in student enrollment while simultaneously facing a budget reduction and restrictions on permanent hiring. Another attendee from Canada described managing 43 lab spaces with only 1.6 technician positions while supporting undergraduate labs, graduate research, and industry collaborations.
Despite those challenges, the discussion highlighted several practical ways that academic lab leaders can improve stability and resilience.
Retention requires more than competitive pay
One recurring theme was the importance of creating clearer career pathways for technical staff and early-career scientists. Drummond emphasized that retention depends on more than compensation. Mentorship, recognition, intellectual freedom, and opportunities for professional growth all contribute to stronger retention.
Professional development programs can help support those efforts. Encouraging staff to attend conferences, leadership training, or cross-functional initiatives gives employees a clearer sense of long-term growth while strengthening the lab’s internal capabilities. Cross-training also helps reduce operational risk when staffing shortages occur.
Attendees also discussed the value of building stronger pipelines for recruiting talent early. Several institutions reported success using undergraduate internship programs, summer research positions, and partnerships with enrichment programs to identify potential long-term hires.
For labs struggling to compete with private-sector salaries, leaders emphasized the importance of communicating purpose and impact. Employees are more likely to stay when they understand how their work contributes to student success, scientific advancement, or broader institutional goals.
Collaboration can help offset funding limitations
Another actionable takeaway involved resource sharing across departments. One attendee described how collaborating with neighboring labs helped reduce equipment costs and improve operational flexibility. Rather than purchasing duplicate instrumentation, labs coordinated access to existing equipment and supplies across research groups.
Academic institutions can formalize these efforts by developing shared instrumentation programs, centralized core facilities, or equipment-sharing databases. These approaches reduce capital expenditures while improving utilization rates for existing assets.
Efficiency can sometimes hide operational problems
The discussion also highlighted a less obvious leadership challenge: efficiency can sometimes hide operational strain. One attendee cautioned that continually compensating for understaffing through extra hours and workarounds may unintentionally prevent administrators from recognizing the true extent of resource shortages.
That insight underscores the importance of using operational data to advocate for support. Lab leaders should document workload growth, overtime demands, turnaround delays, equipment utilization rates, and training burdens to help leadership understand where capacity gaps exist.
Throughout the session, Drummond repeatedly returned to one core idea: academic labs cannot afford to remain static. Leaders must intentionally shape workplace culture, staffing strategies, and funding approaches rather than simply reacting to challenges as they arise.
“Labs that adapt will lead,” she concluded.
