ABOUT THE FIRM 

Secretariat professionals are trusted in the highest-stakes legal, risk, and regulatory matters around the world. 

When you join Secretariat, you become part of a rapidly growing elite team of bright minds and passionate problem-solvers. Your skills and expertise will be utilized on day one – working with the world’s most renowned law firms, leading corporations, and influential institutions to answer complex questions that shape critical financial, economic, and strategic business decisions. 

Our globally integrated teams are united by the ambition, energy, and commitment they bring to every challenge. We inspire and empower an open, collaborative culture that embraces ongoing professional development, recognition, diversity, and – most importantly – you. 

Make your impact at Secretariat. 

ABOUT OUR GLOBAL ENGINEERING SCIENCES TEAM  

As part of our expanding Global Engineering and Scientific consulting team, you will work at the forefront of today’s most complex engineering challenges. You will be engaged in analyzing failures of a myriad of products from a variety of industries, with a focus on consumer products, product liability, and injury claims. You will also support large-scale studies targeting wearable and medical devices, consumer products, and digital health. Outside of that work, you will be engaged in work related to large industrial facilities like power plants, Oil & Gas facilities, chemical processing plants, construction and similar.  

Secretariat leverages our diverse technical expertise, and industry knowledge of a variety of structures and products to provide clients with world-class value to identify solutions that drive performance and safety. 

This position is available in either our Chicago or New York office.

RESPONSIBILITIES   

• Exceptional analytical skills, problem solving, communication skills, and creativity are the foundation for successful professionals at Secretariat.
• Performing lab- based and real-world data collections and experiments Supporting large-scale data processing, analysis, and interpretation through a broad range of analytical tools and capabilities
• Drafting report sections for clients across diverse technical landscapes  
• Assisting with field inspections 
• Assisting with client communications in all time zones 
• Analyzing technical reports offered by others, and developing rebuttal points 
• Developing positive relationships with colleagues, peers and clients 
• Demonstrate excellent organizational and analytical skills with acute attention to detail to successfully achieve project milestones. 
• Manage workload to achieve simultaneous project milestones while keeping project schedules and budgets. 

 QUALIFICATIONS  

• Requisite professional degrees and work experience:
  • Bachelor’s degree in Kinesiology, Biomedical Engineering, Mathematics, Material Science Engineering, Mechanical Engineering,
    Civil Engineering, Chemical Engineering or of similar designation. Advanced degree preferred. 
    
  • 1+ years of prior experience in human subject testing, data analytics and/or statistics, or forensic/root cause analysis. 
  • Interest in pursuing PE credentials is a plus 
• Comfortable working with data sets and applying analytical thinking to solve problems. 
• Ability to gather information, conduct research, and draw logical conclusions from available evidence. 
• Strong attention to detail and commitment to producing accurate, high-quality work. 
• Ability to learn new technical concepts quickly and apply them to client engagements. 
• Strong organizational skills and ability to manage multiple assignments and deadlines with guidance from senior team members. 
• Ability to work both independently and collaboratively as part of a project team. 
• Demonstrated problem-solving skills and willingness to ask questions when needed. 
• Effective written and verbal communication skills, including the ability to summarize findings clearly and professionally. 
• Strong interpersonal skills and ability to work with colleagues, clients, and external stakeholders. 
• Proficiency with Microsoft Office products, including Excel, Word, and PowerPoint. 
• Experience using data analysis, visualization, or statistical software through coursework, research, or professional experience is a plus.