Research Scientist - Construction Scheduling & Workforce Risk

AlphaGov; United States; On-site; USD 110,000 - 170,000; Full time

Job summary

AlphaGov is seeking a Construction Research Scientist to support research and consulting opportunities involving construction schedules, workforce capacity, labor costs, and project delivery risk. We analyze how delays and limited skilled labor affect costs and completion dates and translate findings into practical recommendations for project leaders and clients.

Applicants should have strong background in quantitative modeling, scheduling, and communicating complex results to nontechnical

Qualifications

• PhD preferred in construction engineering, civil engineering, construction management, operations research, industrial engineering, or related field.
• Experience with construction scheduling, resource allocation, project controls, or construction productivity research.
• Demonstrated experience with quantitative modeling, simulation, optimization, or statistical analysis.
• Familiarity with Primavera P6, critical path scheduling, resource-loaded schedules, or comparable methods.
• Ability to explain technical findings clearly to project leaders and nontechnical decision-makers.

Responsibilities

• Analyze how project delays change workforce requirements, crew availability, and labor costs.
• Model resource constraints across multiple projects, including crews staying on one project longer than planned.
• Develop and test scheduling, simulation, and forecasting methods using historical project data.
• Evaluate alternatives such as resequencing work, reallocating crews, overtime, and subcontracting.
• Define data requirements, validation methods, and measurable research objectives.
• Contribute technical methods, work plans, and findings to proposals and client deliverables.

Skills

Quantitative modeling

Scheduling

Data analysis

Communication

Education

PhD or related field

Tools

Primavera P6

Job description

AlphaGov is seeking a Construction Research Scientist to support research and consulting opportunities involving construction schedules, workforce capacity, labor costs, and project delivery risk.

We are looking for someone who can evaluate how delays, competing projects, and limited skilled labor affect a project's cost and completion date—and translate those findings into practical recommendations.

Scope of Work

• Analyze how project delays change workforce requirements, crew availability, and labor costs
• Model resource constraints across multiple projects, including situations where crews remain on one project longer than planned
• Develop and test scheduling, simulation, and forecasting methods using historical project data
• Evaluate alternatives such as resequencing work, reallocating crews, overtime, and subcontracting
• Define data requirements, validation methods, and measurable research objectives
• Contribute technical methods, work plans, and findings to proposals and client deliverables

Requirements

• PhD preferred in construction engineering, civil engineering, construction management, operations research, industrial engineering, or a related field. Comparable applied research experience will be considered
• Experience with construction scheduling, resource allocation, project controls, or construction productivity research
• Demonstrated experience with quantitative modeling, simulation, optimization, or statistical analysis
• Familiarity with Primavera P6, critical path scheduling, resource-loaded schedules, or comparable methods
• Ability to explain technical findings clearly to project leaders and nontechnical decision-makers

Experience with electrical and mechanical construction, data centers, utilities, energy, or major infrastructure projects is especially relevant.

Benefits

Assignments are scoped individually, with compensation and time commitments agreed upon before work begins. Opportunities may include proposal development and delivery of awarded projects. Project delivery assignments depend on contract or funding awards and confirmed availability.

Applicants may opt into consideration for future AlphaGov proposals and consulting engagements. Applying does not guarantee an assignment. Any opportunity with a separate affiliated company would be discussed and confirmed separately.