Scientist- Post Doctoral Fellow in BioInformatics

Waters, with its partner, Boston University, is looking to hire a post-doctoral fellow to drive ideation and the development of novel technologies used to fight challenging strains of the flu virus, as well as SARS-CoV-2. The Post Doc will work on a convergent team of chemists, biochemists, glycoscientists, informaticians and data scientists and will be mentored by a combination of Boston University faculty and leading scientists from Waters.

The Post-Doctoral Scientists at Waters will be based in the heart of Kendall Square at Waters' new state of the art facility located in Cambridge and will have access to the most cutting-edge LCMS technologies.

Responsibilities

• Working at the intersection of software development, LC-MS technology, and biochemistry.
• Investigation of novel technologies to characterize glycosylation in the virus
• Develop software for the analysis of multi-dimensional LC-MS data (including Cyclic IMS) related to the study.
• LC-MS or LC-MS/MS method development/validation and sample analysis for quantitation of biopharmaceuticals and biomarkers in a variety of biological sample matrices in a regulated environment; using either intact or signature peptide approaches.
• Candidate will be required to communicate observations, maintain accurate scientific data and records, and present data in oral and written form according to agreed schedules with both BU and Waters.
• Independently write high impact scientific manuscripts for publication in the primary literature
• Provide input and advice leadership on short- and long-term goals/vision around quantitative bioanalysis as outlined by the Waters-BU Collaboration.

Qualifications

• PhD degree in biochemistry or computer science (preferred), or analytical chemistry or related discipline (acceptable) with >3 years of experience utilizing LC-MS methodologies with knowledge of immunocapture techniques for the quantitation of biopharmaceuticals and biomarkers
• Strong software development skills.   Recommended proficiency with a combination of C++, C#, R, and Python.
• A willingness to develop a thorough understanding of the glycosylation and chemistry of biopharmaceuticals (biologic medical product(s)), biomarkers, immunoassay and biological mass spectrometry as well as the ability to use these technologies to drive innovation
• Excellent verbal and written communication skills; exceptional collaborative behaviors and networking skills.

Company Description

Waters Corporation (NYSE: WAT), the world's leading specialty measurement company, has pioneered chromatography, mass spectrometry and thermal analysis innovations serving the life, materials, and food sciences for more than 60 years. With more than 7,000 employees worldwide, Waters operates directly in 35 countries, including 15 manufacturing facilities, with products available in more than 100 countries. Our team focuses on creating business advantages for laboratory-dependent organizations to enable significant advancement in healthcare delivery, environmental management, food safety, and water quality.   

Working at Waters enables our employees to unlock the potential of their careers. Our global team is driven by purpose. We strive to be better, learn and improve every day in everything we do. We're the problem solvers and innovators that aren't afraid to take risks to transform the world of human health and well-being. We're all in it together delivering benefit as one to provide the insights needed today in order to solve the challenges of tomorrow. 

Diversity and inclusion are fundamental to our core values at Waters Corporation. It is our responsibility to actively implement programs and practices to drive inclusive behavior and increase diversity across the organization. We are united by diversity and thrive on it for the benefit of our employees, our products, our customers and our community. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or protected Veteran status.