Jobs · OTHR · Massachusetts

Single Cell Omics Scientist

Eurofins · Cambridge, MA · 1 mo ago
OTHR$112k–$116k/yrFull-time

About the role

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate. The Eurofins network of companies is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agroscience Contract Research Organisation services. It is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organisations. It also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products. In over 30 years, Eurofins has grown from one laboratory in Nantes, France to 58,000 staff across a decentralised and entrepreneurial network of 900 laboratories in over 54 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products.

Eurofins PSS is seeking a passionate and dedicated Single Cell Omics Scientist. The candidate will work directly on the client site in Cambridge, MA and will play a pivotal part in generating high-quality single-cell and multi-omics data to drive discovery, validation, and translational programs. Working at the interface of wet-lab biology and computational science, the candidate will apply state-of-the-art single-cell assays, automation platforms, and high-throughput sequencing technologies. The ideal candidate will collaborate closely with multidisciplinary teams of experimental biologists, computational biologists, and data scientists to address complex biological questions and advance critical therapeutic pipelines.

Candidates living within a commutable range of Cambridge

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