Research Scientist - Construction Scheduling & Workforce Risk

AlphaHire; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Compensation and time commitments are…

Proposal development opportunities

Future AlphaGov proposal consideration

Project delivery assignments based on;

Job summary

AlphaGov is seeking a PhD-level researcher to analyze how delays impact workforce needs, costs, and project completion dates. The role involves building models for crew allocation across several concurrent projects and developing forecasting methods from historical data.

You will evaluate mitigation options such as resequencing, reallocations, overtime, or subcontracting, and define data needs and validation plans. You will present findings to project leaders and nontechnical stakeholders.

Qualifications

• PhD in construction/related field; applied research experience welcomed.
• Experience in scheduling, resource allocation, project controls, or productivity research.
• Strong background in quantitative modeling, simulation, optimization, or statistics.
• Familiarity with Primavera P6, critical path scheduling, resource-loaded schedules, or equivalent methods.
• Ability to clearly explain technical findings to project leaders and nontechnical decision-makers.
• Experience with electrical/mechanical construction, data centers, utilities, or major infrastructure projects is highly relevant.

Responsibilities

• Analyze how project delays affect workforce, crew availability, labor costs, and completion dates.
• Model resource constraints and crew allocation across multiple concurrent projects.
• Develop and test scheduling, simulation, and forecasting methods using historical project data.
• Evaluate mitigation options including work resequencing, crew reallocation, overtime, and subcontracting.
• Define research objectives, data requirements, and validation methods.
• Contribute technical methods, work plans, and findings to proposals and client deliverables.
• Communicate technical findings and recommendations to project leaders and nontechnical decision-makers.

Skills

Quantitative modeling

Simulation

Optimization

Statistical analysis

Construction scheduling

Resource allocation

Communication to nontechnical leaders

Education

PhD in construction engineering or related field

Tools

Primavera P6

Job description

Description:

• Analyze how project delays affect workforce needs, crew availability, labor costs, and completion dates.
• Model resource constraints and crew allocation across multiple concurrent projects.
• Develop and test scheduling, simulation, and forecasting methods using historical project data.
• Evaluate mitigation options, including work resequencing, crew reallocation, overtime, and subcontracting.
• Define research objectives, data requirements, and validation methods.
• Contribute technical methods, work plans, and findings to proposals and client deliverables.
• Communicate technical findings and recommendations to project leaders and nontechnical decision-makers.

Requirements:

• PhD in construction engineering, civil engineering, construction management, operations research, industrial engineering, or a related field preferred; comparable applied research experience considered.
• Experience in 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 clearly explain technical findings to project leaders and nontechnical decision-makers.
• Experience with electrical or mechanical construction, data centers, utilities, energy, or major infrastructure projects is especially relevant.

Benefits:

• Compensation and time commitments are agreed upon before each assignment begins.
• Opportunities may include proposal development and delivery of awarded projects.
• Option to be considered for future AlphaGov proposals and consulting engagements.
• Potential project delivery assignments based on contract or funding awards and confirmed availability.