Remote Senior Biostatistician — Data & Human Performance

MAXIMUS; Columbia (SC); On-site; USD 59,000 - 124,000; Full time

Job summary

MAXIMUS is seeking an experienced data analytics expert to support the USSOCOM Enterprise POTFF program, providing management, planning, and advanced analytical guidance across multiple projects. You will design models, interpret data, and advise on performance initiatives to enhance unit effectiveness.

The role requires a PhD in a related field and substantial experience in quantitative methods, with ability to communicate findings clearly to senior stakeholders and collaborate across teams.

Qualifications

• Bachelor's degree in related field.
• 5-7 years of relevant professional experience required.
• Equivalent combination of education and experience considered in lieu of degree.
• PhD in Human Performance, Biostatistics, Epidemiology, Behavioral/Social Science, or a related discipline.
• Minimum of five (5) years of experience working in a related field.
• Knowledge of qualitative and/or quantitative methods and analyses used to develop, adapt, modify, and apply models for scientific inquiry, problem resolution, alternative solution development, and assessment and improvement of Human Performance Optimization.
• Ability to gather, assemble, and analyze facts; draw conclusions; develop and use appropriate data collection and cleansing techniques; produce valid and reliable findings; conduct analyses; recommend solutions; and present results in briefings, papers, or reports suitable for senior management decision-making.
• Ability to communicate effectively orally and in writing; negotiate complex issues; identify solutions and alternatives when no single solution exists; and establish and maintain productive working relationships with project stakeholders.
• Knowledge of human performance and behavioral science research analysis techniques and related analytical methods.
• Ability to lead research teams; originate new ideas, projects, and methodologies; and execute projects and/or studies within established financial and/or time constraints.

Responsibilities

• Provide management, coordination, liaison support, research, analysis, planning, programming, budgeting advice and assistance, and education and training policy guidance for the USSOCOM Enterprise POTFF program.
• Provide expert guidance and advice to Component headquarters staff.
• Serve as a key analyst and recognized professional authority responsible for designing, developing, and adapting mathematical and statistical models and techniques.
• Provide advice and insight regarding the probable effects of alternative courses of action.
• Support the strategic planning process for POTFF-unique programs designed to enhance individual and unit performance.
• Evaluate the enterprise-wide POTFF program and develop corresponding measures of effectiveness.
• Apply expert analytical and evaluative skills to determine actions necessary to support established Human Performance initiatives.
• Support and foster research conducted at POTFF under Government staff supervision, including methodological development, data analytics, interpretation of findings, and recommendations.
• Perform human performance and behavioral science research analysis involving complex problem sets, creative approaches, innovative research methods, and advanced statistics.
• Use scientific inquiry to independently develop mathematical models that evaluate and predict the ability to support assigned programs, studies, or problems.
• Provide technical guidance, advisory support, and assistance for entire projects and/or major phases of broad and varied operations.

Education

Bachelor's degree in related field

PhD in Human Performance, Biostatistics, Epidemiology, Behavioral/Social Science, or a related discipline

Job description

MAXIMUS is seeking an experienced data analytics expert to support the USSOCOM Enterprise POTFF program, providing management, planning, and advanced analytical guidance across multiple projects. You will design models, interpret data, and advise on performance initiatives to enhance unit effectiveness.

The role requires a PhD in a related field and substantial experience in quantitative methods, with ability to communicate findings clearly to senior stakeholders and collaborate across teams.