CST Executive Team

Founded in 1999, CST is a private, family-owned company with over 400 employees worldwide. Our executive management team is proud to lead a company of scientists for scientists.

Learn More

Top Places to Work

Top Places to Work

CST is honored to be voted one of the Boston Globe’s “Top Places to Work”.

Learn More

 
News From the Bench

News from the Bench

Discover what’s going on at CST, receive our latest application notes, science features, and more.

Subscribe

Development Scientist - ChIP

Danvers, MA

Cell Signaling Technology, Inc. (CST) is a worldwide leader in the development and commercialization of antibodies, assays and research tools. As a company of scientists for scientists, we have developed PTMScan®, a technology to discover protein post-translational modifications, PhosphoSitePlus®, an online resource for investigation of post-translational modifications, and XMT® technology, a proprietary method to develop exceptional monoclonal antibodies. We are fully committed to developing new research tools to help define the mechanisms underlying cell function and disease, thereby broadly accelerating progress in biomedical research and medicine.

We are currently seeking a highly motivated and creative scientist to join a team dedicated to the development of epigenetics-based assay kits. The candidate will contribute to the development of innovative research tools, with a primary focus on ChIP-Seq and DNA-IP-Seq assay and product development. The Development Scientist plays a central role in overseeing and orchestrating projects from conception through product release. Thus, the ideal candidate will be a proven leader, combining scientific expertise with project management skills and the ability to effectively communicate project requirements throughout the organization.

The successful candidate must have a Ph.D. with a strong background in biochemistry or molecular and cellular biology, and at least 2 years of post-doctoral training. The candidate must have hands-on experience in both assay development and high throughput sequencing data analysis. Knowledge and experience with open source bioinformatics tools such as SAMtools, BEDtools, Bowtie, and MACS, and familiarity with Linux and Basic R programming is required. Knowledge and experience with Python, C++, or Java programming is a plus. Strong scientific, organizational, teamwork and communication skills are a must.

APPLY

You will be taken to an external website, please attach your cover letter and resume as one document and refer to job code SCCH- 2014-05-B when applying.