Research Assistant

Company Description BLACKROSE Corporation is a multidisciplinary organization that unites scientific research and technological innovation to advance human knowledge and capability. The company focuses on cutting-edge work in artificial intelligence, medical science, data analytics, and complex systems modeling. Its mission is to transform theoretical breakthroughs into practical solutions that address significant global challenges. Team members collaborate across disciplines in a research-driven environment that values curiosity, rigor, and impact, offering opportunities to contribute to meaningful, real-world applications.

Role Description The Research Assistant is a full-time, on-site role based in the New York City Metropolitan Area. This position supports research projects across domains such as artificial intelligence, medical science, and data analytics by collecting, organizing, and analyzing data, and assisting with experimental design and documentation. Day-to-day responsibilities include conducting literature reviews, preparing research materials, supporting laboratory procedures, maintaining accurate records, and contributing to reports and presentations. The Research Assistant will collaborate with research scientists and project leads, help ensure adherence to protocols and ethical standards, and assist in the preparation of manuscripts and internal briefs.

Qualifications

• Candidates should possess strong Analytical Skills and Data Analysis capabilities for interpreting complex datasets and supporting evidence-based conclusions.
• Candidates should possess solid Research skills, including literature review, study design support, and documentation of methods and results.
• Candidates should possess Laboratory Skills relevant to their field, such as handling equipment, following protocols, and maintaining accurate experimental records.
• Candidates should possess effective Communication skills for collaborating with cross-functional teams and preparing clear written and verbal reports.
• Bachelor’s degree in a relevant discipline (e.g., science, engineering, data analytics, or related field); advanced coursework or a master’s degree is an advantage.
• Proficiency with common data and research tools (e.g., spreadsheets, statistical software, or programming languages such as Python or R) is beneficial.
• Strong organizational skills, attention to detail, and the ability to manage multiple tasks in a fast-paced research environment.
• Demonstrated interest in artificial intelligence, medical science, or complex systems, and willingness to learn new methods and technologies.