Founded by research scientists in 1999, Cell Signaling Technology (CST) is a private, family-owned company specializing in developing high-quality antibodies for various biological applications. CST focuses on applied systems biology research, particularly in cancer studies, and offers a range of services including gene expression analysis, immunology, proteomics, and more. What sets CST apart is its rigorous validation process by Ph.D.-level scientists and the provision of comprehensive technical support to ensure reliable results.
Open Positions
Scientist, Computational Biology
Ph.D. in Computational Biology, Bioinformatics, Data Science, Immunology or a related field, with relevant postdoctoral and a minimum of 2 years of hands-on experience in the field, strong problem-solving skills and ability to work independently
Field Application Scientist NEB
PhD/Master degree in a related field preferred. 3-5 years’ experience in a similar field, excellent NGS knowledge, and English language proficiency are needed. Ability to work in a fast-paced environment is essential
Digital Experience Designer
5+ years of UX/UI design experience, proficiency in Figma, and a Bachelor's degree in Digital Design or related field
Sustainability Internship
Undergraduate degree in Environmental Science or related field, passion for environment and sustainability, strong problem-solving skills
Commercial Internship
Must be currently enrolled in an undergraduate program, possess a passion for technology and science, and exhibit strong communication and collaboration skills
IT Internship
Bachelor's degree in Computer Science, completed STEM class, passion for technology and science, strong communication and collaboration skills
Business Development Internship
Current undergraduate student with business focus, passion for business, strong communication and analytical skills
Lab Internship
Currently enrolled in undergraduate program in biological or chemistry-related science. Strong communication and collaborative skills. Passion for technology, science, and learning
Automation Intern
Must be currently enrolled in an Undergraduate program in computer science, engineering or a related science