Scientist, Research Scientist, Clinical Research

Who we are…

Cell Signaling Technology (CST) is a different kind of life sciences company, one founded, owned, and run by active research scientists, with the highest standards of product and service quality, technological innovation, and scientific rigor for over 20 years. We consistently provide fellow scientists around the globe with best-in-class products and services to fuel their quests for discovery.

Helping researchers find new solutions is our main mission every day, but it's not our only mission. We're also dedicated to helping identify solutions to other problems facing our world. We believe that all businesses must be responsible and work in partnership with local communities, while seeking to minimize their environmental impact. That's why we joined 1% for the Planet as its first life science member, and have committed to achieving net‑zero emissions by 2029.

We are seeking an experienced and passionate scientist to collaborate closely with our dynamic team in developing groundbreaking technologies and validating innovative products. In this role, you will drive the research for integrating CST's antibodies with new and cutting‑edge technologies. Specifically, your expertise will be instrumental in propelling the development of new products using orthogonal assays. This requires critical thinking about experimental design, data analysis, and future directions.

This is an exceptional opportunity for a dedicated scientist to flourish within a supportive and collaborative team. This is an onsite role.

50% Assay Development and Optimization

• Design, develop, and optimize current proximity assays using DNA-conjugated antibodies to achieve high sensitivity protein readout.
• Design, perform, and optimize experiments including Western blotting, PCR/qPCR, Flow Cytometry, Next-Generation Sequencing (NGS), and cell culture-based experiments to support the team initiatives.
• Validate newly developed assays by analyzing experimental results, troubleshooting issues, and refining protocols to ensure robust and reproducible data.
• Implement rigorous quality control for all experimental steps, including reagent selection and workflow standardization.

25% Data Analysis & Interpretation

• Analyze experimental data using appropriate statistical and bioinformatics methods to extract meaningful conclusions.
• Maintain accurate, detailed laboratory records and experimental documentation in compliance with company standards.
• Present data and findings in team meetings, providing scientific rationale for next steps.

10% Collaboration & Scientific Communication

• Collaborate closely with cross-functional teams to design and execute experiments aligned with project goals.
• Share scientific insights and progress updates with internal stakeholders to drive decision-making and project advancement.
• Contribute to the preparation of internal reports and presentations of research findings.

10% Technology Evaluation & Continuous Learning

• Stay current with advancements in single-cell analysis, DNA-conjugated antibody applications, and cellular signaling research.
• Identify opportunities for integrating new techniques or technologies to enhance assay capabilities and project outcomes.

5% Laboratory Operations & Compliance

• Maintain laboratory equipment, follow safety protocols, and ensure compliance with regulatory and company standards.
• Support day-to-day lab operations, including reagent preparation and inventory management.

• Ph.D. degree in biological sciences with bench lab experience.
• Experience in proximity extension assays.
• Extensive experience in PCR. This includes nested & two-step PCR, melt curve analysis, experience with hairpins /self-dimers /cross-dimers in primer designs, mastery PCR troubleshooting, experience with PCR additives, experience with gradient PCR, melting temperature (Tm) balancing, multiplex PCR.
• Experience in qPCR experiments. This includes the use of different intercalating dyes, designing and the use of Taq Man probes, multi-gene normalization, experience minimizing…