Scientific Computational Chemist

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.

We are searching for a PhD in Chemical Engineer with additional experience in coding, analyzing large data sets and mathematical modeling.  The 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.

Academic background:

Ph.D. in Chemical Engineering, Mechanical Engineering, Mathematics, Physics, or related fields with relevant experience in the pharmaceutical industry.  

Concentrations in Chemical, Mechanical or Biomedical Engineering, including coursework and experience with computational science, are preferred

Required Skills:

• Fluency in coding using Python or MATLAB is required.
• Prior experience handling large datasets and developing mathematical models is preferred.

Preferred Qualifications:

• Experience working as a data engineer in the pharmaceutical industry
• Experience developing mathematical models from large process development data sets
• Strong knowledge of chemical and material sciences concepts as applied to pharmaceutical development
• Prior applications in chemical engineering-based transport phenomena are preferred

Position 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 options
• Life and disability insurance
• 401(k) with company match
• Paid vacation and holidays
• #LI-EB1
• Authorization 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.