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.
In 2021, Eurofins generated total revenues of EUR 6.72 billion, and has been among the best performing stocks in Europe over the past 20 years.
Job DescriptionThe successful candidate will work in a dynamic team comprised of scientists and engineers to support global drug product development activities through material characterization and process modelling.
The position entails the following duties and responsibilities:
Develop mathematical models from internal data repository or published literature applying mechanistic or machine learning applications.Build internal repository of process data from published literature using suitable data-retrieval techniques.Develop suitable digital tools for automated data analysis of internal data repository.Conduct discrete element modeling of simple physical processes for drug product design and development.QualificationsB.S with 0-3 years of relevant experience or M.S in Chemical Engineering, Mechanical engineering
Required skills:
• Fluency in coding using Python or Matlab is required.
• Prior knowledge of handling large dataset and developing mathematical models is preferred.
• Experience in ODE (ordinary differential equation) and PDE (partial differential equation) based applications is a plus.
Additional InformationPosition is Monday-Friday 8:00 am- 5:00 pm Overtime as needed. Candidates currently living within a commutable distance of Ridgefield, CT are encouraged to apply.
Excellent full-time benefits including comprehensive medical coverage, dental, and vision optionsLife and disability insurance401(k) with company matchPaid vacation and holidays#LI-EB1Authorization to work in the United States indefinitely without restriction or sponsorship
Eurofins USA PSS Insourcing Solutions is a Disabled and Veteran Equal Employment Opportunity employer.