

Biotech development is one of the most complex project management challenges in any industry. You're tracking research experiments, managing protocols, navigating multi-year regulatory timelines, coordinating between wet lab and computational teams, and documenting everything for compliance. A single research program generates hundreds of tasks with strict dependencies, and most generic PM tools weren't built for this level of sequential, regulated workflow.
t0ggles is the project management tool that gives biotech teams everything they need to track research pipelines, manage regulatory milestones, and coordinate between lab and computational work. With task dependencies for sequential protocol enforcement and custom properties for experiment metadata, t0ggles brings structured project management to research-driven teams. All for $5/user/month with every feature included.
Research pipelines are deeply sequential. You can't run assay validation before compound screening is complete. You can't submit an IND before preclinical studies are done. Every step depends on the previous step, and the consequences of skipping ahead are wasted time, wasted reagents, and regulatory rejection.
Regulatory documentation demands traceability. The FDA, EMA, and other regulatory bodies want to see exactly when each step happened, who performed it, what the results were, and who reviewed them. Your project management system is part of your compliance infrastructure whether you planned it that way or not.
Lab and computational teams work on parallel tracks. Wet lab researchers run experiments while computational biologists analyze data and model results. These tracks converge at key decision points - go/no-go meetings, compound selection, protocol amendments. Tracking both tracks and their convergence points requires multi-project coordination.
Programs run for years with shifting priorities. A single drug development program can run for 5-10 years. Priorities shift as data comes in. Programs get paused, restarted, expanded, or killed. Your PM tool needs to handle this long-term, evolving complexity without becoming a maintenance burden.
Task dependencies model the sequential nature of biotech workflows:
Discovery pipeline:
Assay development:
The Gantt view shows these pipelines as timelines with dependency arrows. When compound screening takes longer than expected, you see immediately how it cascades through every downstream step. Dependencies with lag days add buffer for review periods, incubation times, and regulatory response windows.
Custom properties capture the data that makes biotech project management unique:
Filter by program to see all oncology tasks. Filter by phase to see what's in preclinical versus discovery. Sort by decision gate to surface upcoming go/no-go decisions that need data.
Each research program gets its own project on a shared board:
Focus Mode lets a researcher zoom into their program without distraction. The lab director sees all programs at once, identifying resource conflicts and prioritization decisions across the portfolio.
Milestones mark the go/no-go decisions that define biotech development:
Each milestone links to prerequisite tasks. The board shows how close each milestone is to completion, giving leadership and investors clear progress visibility.
Change history logs every modification to every task with timestamps and user attribution. For biotech teams, this isn't just a convenience - it's a compliance requirement.
When a regulatory auditor asks "when was this protocol amended and who approved the change?", the answer is in the task history. Every status change, assignment update, comment, and property modification is recorded.
Biotech projects involve CROs, academic collaborators, regulatory consultants, and manufacturing partners. Guest users give each partner access to their relevant project:
Project-specific access control ensures proprietary research data stays protected.
Notes serve as a lightweight lab notebook and SOP repository. Document experiment protocols, meeting notes from scientific advisory board sessions, and literature summaries. The AI text assistant helps summarize research papers and draft protocol descriptions.
Link notes to specific tasks so that the protocol document is always accessible from the experiment task.
Your team is running two therapeutic programs. Each program is a project with tasks representing every experiment, analysis, and decision point. Custom properties track compound IDs, assay types, and decision gates.
The board's statuses reflect your workflow: Planned, In Progress, Data Analysis, Review, Complete, On Hold. Dependencies ensure the hit screening team doesn't start until target validation is complete. The Gantt view shows Program Alpha's critical path, highlighting which tasks determine the earliest possible IND filing date.
Weekly team meetings use the board as the agenda. The List view filtered by "In Progress" shows what's active. Milestones show how far each program is from its next decision gate. Reports track task completion rates by program.
Wet lab and computational biology run in parallel but converge at analysis points. The board has both workstreams visible:
Lab tasks (screening, synthesis, assays) have dependencies on each other. Computational tasks (modeling, data analysis, bioinformatics) also have their own dependencies. At convergence points - compound selection, dose prediction, mechanism analysis - cross-stream dependencies link the two tracks.
The Gantt view reveals bottlenecks. If computational analysis is the bottleneck (three lab experiments waiting for analysis), you see it visually and can reallocate resources.
IND preparation involves hundreds of tasks across CMC, nonclinical, and clinical sections. The Regulatory project tracks each section:
Tasks are organized by submission module, with dependencies modeling the strict ordering (nonclinical reports must be finalized before the IND summary is written). Custom properties track document status, reviewer assignments, and section numbers.
Milestones mark section completions and the final submission date. Reminders trigger well in advance of regulatory deadlines. The audit trail proves when each section was reviewed and approved.
| What You Need | How t0ggles Delivers |
|---|---|
| Sequential protocol enforcement | Task dependencies with Gantt view and lag days |
| Experiment metadata tracking | Custom properties for compound, assay, phase, and study data |
| Multi-program portfolio view | Multi-project boards with Focus Mode per program |
| Go/no-go decision tracking | Milestones with linked prerequisite tasks |
| Compliance audit trail | Full change history with timestamps and user attribution |
| External partner coordination | Guest users with project-specific access control |
| Lab notebook and SOPs | Notes with rich text editor and AI assistant |
| Resource conflict visibility | Board-level view showing all programs with workload reports |
vs Jira: Jira is designed for software sprints, not multi-year research programs. t0ggles handles long-running sequential workflows without forcing biotech into an agile framework that doesn't fit.
vs dedicated LIMS/ELN: Laboratory information management systems are great for raw data management, but they're not project management tools. t0ggles complements your LIMS by providing the task tracking, timeline management, and team coordination layer on top.
vs Asana: Asana's timeline and custom fields require their Business plan at $10.99/user/month. t0ggles gives you dependencies, Gantt charts, custom properties, and guest users at $5/user/month - significant savings for a growing biotech.
vs spreadsheets: Research pipelines are too complex and interdependent for spreadsheet tracking. You need real-time dependency visualization, automated reminders, and an audit trail that spreadsheets simply can't provide.
One plan. One price. Every feature.
$5 per user per month (billed annually) includes:
No feature tiers. No per-seat surprises.
14-day free trial - start organizing your research today.
Biotech R&D demands rigorous project management - every experiment, every decision, every submission needs tracking. t0ggles gives you the structure to manage research pipelines, enforce protocol sequences, and maintain the audit trail that regulated environments require.
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