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Temporary Evidence Synthesis Jobs (NOW HIRING)

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Temporary Evidence Synthesis information

What is a temporary evidence synthesis?

A Temporary Evidence Synthesis is a short-term or project-based role focused on collecting, evaluating, and summarizing research findings to inform decisions, policies, or guidelines. Individuals in this position systematically review available evidence, often for time-sensitive projects or emerging issues. They may work within academic, healthcare, or policy organizations to deliver clear and concise reports. The role requires strong analytical skills and the ability to interpret scientific studies efficiently.

What are some typical challenges faced by professionals in temporary evidence synthesis roles, and how are they addressed?

Professionals in Temporary Evidence Synthesis often face tight deadlines, rapidly changing project scopes, and the need to quickly appraise large volumes of literature. To address these challenges, teams typically use standardized protocols and systematic review tools to streamline the evidence-gathering process. Regular communication with project stakeholders and collaboration with subject matter experts are also key strategies to ensure the synthesis remains focused, relevant, and high-quality despite time constraints.

What are the key skills and qualifications needed to thrive as a temporary evidence synthesis specialist, and why are they important?

To thrive as a Temporary Evidence Synthesis Specialist, strong analytical skills, experience in literature review, and a background in fields such as public health, medicine, or social sciences are generally required. Familiarity with systematic review software (e.g., Covidence, RevMan), reference management tools, and an understanding of evidence grading frameworks like GRADE is typical. Attention to detail, strong written communication, and the ability to work independently under tight deadlines are critical soft skills. These competencies ensure the accurate, timely, and credible synthesis of research evidence to inform decision-making.

What is the difference between Temporary Evidence Synthesis vs Evidence Analyst?

AspectTemporary Evidence SynthesisEvidence Analyst
CredentialsTypically requires research or health-related certifications, often with temporary or contract experienceRequires similar research or data analysis certifications, often with ongoing professional development
Work EnvironmentUsually project-based, temporary settings within research institutions or healthcare organizationsPermanent or long-term roles within research teams, government agencies, or private firms
Industry UsageCommon in healthcare, clinical research, and policy development sectorsWidely used in research, healthcare, and data analysis industries

Temporary Evidence Synthesis professionals focus on short-term projects to compile and analyze evidence, often in healthcare or research settings. Evidence Analysts typically hold ongoing roles, analyzing data and evidence to inform decisions. While both roles require similar skills and certifications, their employment duration and project scope differ.

More about Temporary Evidence Synthesis jobs

What cities are hiring for Temporary Evidence Synthesis jobs?

Cities with the most Temporary Evidence Synthesis job openings:

What are the most commonly searched types of Evidence Synthesis jobs?

The most popular types of Evidence Synthesis jobs are:

What states have the most Temporary Evidence Synthesis jobs?

States with the most job openings for Temporary Evidence Synthesis jobs include:

Infographic showing various Temporary Evidence Synthesis job openings in the United States as of August 2026, with employment types broken down into 64% Full Time, 18% Part Time, and 18% Temporary. Highlights an 91% In-person, and 9% Remote job distribution.

Principal Engineer, State Estimation (R4602) with Security Clearance

Shield AI Inc

Boston, MA โ€ข On-site

Other

Posted 28 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube . Job Description: We are looking for an experienced state estimation engineer to design, develop, and support the deployment of safety-critical navigation solutions for aerospace platforms. This role requires deep expertise in state estimation theory, extensive practical experience implementing ownship navigation systems in the aerospace domain, and strong software development skills for production-quality navigation code. The engineer will design and implement a unified navigation architecture that supports traditional GNSS/IMU fusion while being extensible to all-source navigation strategies incorporating diverse sensing modalities for GPS-degraded and denied environments. What you'll do: Navigation System Architecture & Design: * Establish navigation performance requirements and error budgets for safety-critical applications * Support decomposition of navigation requirements into allocations for sensors, estimation algorithms, and software components * Design detailed software architecture for state estimation implementations, including module interfaces and data flow Algorithm Development & Implementation: * Design and implement Extended Kalman Filter algorithms for navigation applications, with broad understanding of state estimation theory and alternative filtering approaches * Implement tightly-coupled and loosely-coupled GNSS/INS integration algorithms * Integrate diverse sensing modalities (vision, RF, celestial etc.) into multi-sensor fusion framework for GPS-degraded environments * Develop fault detection, isolation, and recovery (FDIR) strategies for navigation systems * Implement integrity monitoring and protection level calculations for safety-critical operations Certification & Verification: * Develop verification and validation test plans for navigation algorithms * onduct performance analysis including Monte Carlo simulation, covariance analysis, and flight test data evaluation * Document navigation system design, requirements allocation, and compliance evidence * Support safety assessment activities including failure modes and effects analysis Technical Leadership: * Provide technical guidance on navigation architecture and state estimation approaches * Support trade studies evaluating navigation sensor suites and fusion strategies * Mentor junior engineers on state estimation theory and implementation Required qualifications: * MS or PhD in Computer Science, Software Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Applied Mathematics, or related field 15+ years of experience developing state estimation algorithms for aerospace navigation applications * Demonstrated experience implementing GNSS/INS integration solutions * Experience with safety-critical system development and certification processes * Deep understanding of state estimation theory * Experience implementing multi-sensor fusion algorithms in production systems * Strong background in inertial navigation, GNSS positioning, and sensor error modeling * Strong programming skills in C/C++ and Python/MATLAB for algorithm development and analysis * Understanding of integrity monitoring, protection levels, and safety assessment methods * Experience with requirements management and verification/validation processes for certifiable systems * Understanding of GPS/GNSS signal structure, error sources, and performance characteristics * Knowledge of IMU error models, calibration, and Allan variance analysis * Familiarity with alternative navigation sensors (camera, RF ranging, celestial, etc.) * Understanding of navigation performance metrics (accuracy, integrity, continuity, availability) * Must be eligible to obtain a clearance * Ability to obtain a S//SAR level security clearance desired. Preferred qualifications: * PhD in relevant field with focus on state estimation or navigation * Direct involvement in certified navigation system development from requirements through flight test * Experience with specialized navigation approaches (vision-aided navigation, terrain-referenced navigation, celestial navigation, etc.) * Publications or patents in navigation or state estimation * Experience with GPS/GNSS jamming and spoofing mitigation techniques #LI-SM1 #LF Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.