Research Scientist - Construction Scheduling & Workforce Risk

AlphaX

8d • $145,000 - $171,000

About The Position

AlphaGov is seeking a Construction Research Scientist to support research and consulting opportunities involving construction schedules, workforce capacity, labor costs, and project delivery risk. The role evaluates how delays, competing projects, and limited skilled labor affect project cost and completion dates, and translates findings into practical recommendations.

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.

Applicants should submit a résumé or CV highlighting relevant projects, research methods, publications, and their specific contribution.

Requirements

• 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.
• A PhD is preferred in construction engineering, civil engineering, construction management, operations research, industrial engineering, or a related field; comparable applied research experience will be considered.

Nice To Haves

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

Responsibilities

• Analyze how project delays change workforce requirements, crew availability, and labor costs.
• Model resource constraints across multiple projects, including cases 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree