The fellowship provides up to $50,000 per year for a maximum of two years, a level of support that places it among the more substantial non-federal funding options available to early-career life scientists. Since its establishment in 2015, the program has advanced SLAS’s mission to promote laboratory science and technology by giving graduate researchers the flexibility and resources to pursue impactful discoveries. More than a decade after its launch, the fellowship continues to function as a bridge between academic training and the industrial-scale automation technologies that now drive modern drug discovery and biological research.

Eligibility is defined around the core technical domains that SLAS represents. Applicants must be enrolled in a graduate degree program related to high-throughput screening, quantitative biosciences and/or drug discovery. These fields sit at the intersection of engineering, biology and data science: high-throughput screening relies on robotic liquid handling, automated microscopy and miniaturized assay formats to test thousands to millions of compounds against biological targets; quantitative biosciences apply mathematical modeling and rigorous statistical frameworks to extract reproducible insight from complex biological systems; and drug discovery integrates both approaches to identify and optimize candidate molecules that can progress toward clinical development.

The evaluation criteria reflect the society’s emphasis on both scientific merit and institutional infrastructure. Applications are assessed on the quality and originality of the proposed research, its relevance to laboratory automation and screening, and the institution’s ability to support the student’s work. That third criterion matters in practice: cutting-edge automation research requires access to robotic workstations, plate readers, liquid handlers, imaging systems and the computational pipelines needed to process large experimental datasets. A well-designed proposal paired with a laboratory that can actually execute the work is what the review process is built to identify.

For the selected fellow, the structure of the award offers a kind of scientific freedom that is increasingly rare in a constrained funding environment. Benjamin David, a past recipient from the University of Michigan, highlighted the flexibility the fellowship provided throughout his research journey. As he described it, if he found an interesting aspect of the research while progressing through his project, he had the freedom to pause and explore that new area, something he noted would not be possible with other types of grants tied to specific work. That flexibility is significant because exploratory detours in graduate research often produce unexpected findings, yet rigid grant structures typically penalize deviations from pre-specified aims.

The timing of the 2027 cycle carries particular weight. As the scientific research community faces volatility related to future research funding, this longstanding program remains an important source of support for emerging scientists. Across the life sciences, early-career researchers have watched traditional funding streams tighten and shift, making fellowship awards like this one a meaningful hedge against uncertainty. A two-year commitment of up to $100,000 can cover stipend support, research supplies, instrumentation access and conference travel, allowing a graduate student to focus on the science rather than on assembling a patchwork of short-term funding.

The technical scope of eligible research is broad within its defined boundaries. A proposal might involve developing new microfluidic devices that miniaturize assays to conserve reagents and increase throughput, or machine-learning pipelines that mine high-content imaging data for subtle phenotypic signatures of drug activity. It could address assay development for previously undruggable protein targets, automation of cell culture workflows, or novel biosensors that translate biological signals into quantifiable outputs. What unites these possibilities is the fellowship’s focus on laboratory technology as an enabling discipline: the tools and methods that let researchers ask bigger questions faster and with greater precision.

SLAS itself occupies a distinctive position in the scientific ecosystem. The society brings together academic researchers, industry scientists and technology providers around laboratory automation and screening, a community that has historically driven innovations such as 384-well and 1536-well microplate formats, acoustic droplet ejection for precise liquid transfer, and automated high-content imaging platforms. By channeling fellowship support into graduate training, SLAS invests directly in the pipeline of scientists who will design and operate the next generation of automated laboratories, where artificial intelligence, robotics and biology increasingly converge.

Graduate students, faculty members and educational institutions are encouraged to share the opportunity and apply before the deadline. Because the award is made to the institution on behalf of the student, interested applicants should coordinate early with their departments and research advisors to prepare a competitive submission that demonstrates both the originality of the proposed research and the institutional capacity to carry it out. With applications due November 9, 2026, the window for assembling proposals, securing institutional endorsement and refining research plans is now open, and for one graduate student, the 2027 fellowship could provide the resources and latitude to turn an ambitious idea into a discovery.

Subject of Research: Graduate fellowship funding for laboratory automation, quantitative biosciences and drug discovery research

Article Title: Applications accepted until November 9 for the 2027 SLAS Graduate Education Fellowship Grant

Article References: Applications accepted until November 9 for the 2027 SLAS Graduate Education Fellowship Grant. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: SLAS, graduate fellowship, laboratory automation, drug discovery, high-throughput screening, quantitative biosciences, research funding, science education, fellowship grant, early-career scientists, life sciences, biotechnology