Computational Scientist

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 seeking an associate scientist/scientist to join the SmartLab within Drug Product Design and Supply.

The successful candidate will support automation and technology processes for pharmaceutical drug candidates by designing and implementing predictive models and data driven workflows for materials and formulations innovation.

Position Responsibilities

• The successful candidate will partner with R&D teams to design and implement predictive models and data-driven workflows.
• Manage, clean, transform, and integrate large datasets from experimental, automated formulation systems.
• Identify patterns, correlations, and performance drivers through advanced analytics.
• Leverage machine learning and statistical methods to accelerate material selection, formulation optimization, cost, and performance prediction
• Collaborate with internal and external stakeholders to implement automated equipment and develop novel solutions for execution of laboratory experimentation.
• Innovate with academic and industrial collaborators to identify unmet needs and develop novel solutions.
• Develop and implement data analytics tools for process optimization, process modeling, and visualization.
• Develop robust, maintainable Python code (or equivalent) to automate data preparation, model training, and results visualization
• Enable data management systems to retrieve, process and store relevant lab data from both manual and automated experiments.
• Partner with research scientists and engineers on suitable experimentation to deliver DPDS workflows for solid dosage form development.
• Participation with departmental initiatives, continuous improvement teams, scientific presentations, and external collaborations to influence scientific and business impact of the group.

• Master of Science Degree in Data Sciences, Automation Engineering, Materials Science, Chemical Engineering, or closely related discipline; OR a Bachelor’s degree in these disciplines with 2-4 years of relevant experience in a laboratory setting.
• 3+ years of relevant informatics/data science experience
• Strong coding with C/C++ or Python
• Experience working with Application Programming Interface (API) and Open Platform Communications (OPC)
• Proven expertise in data science, including statistical modeling, predictive analytics, and machine learning
• Strong analytical skills with the ability to transform experimental data into actionable insights
• Excellent communication skills and ability to collaborate across scientific and technical disciplines.

Preferred Requirements

• Experience with robotics, automation, data analytics and machine vision systems used in laboratory automation
• Experience in pharmaceutical research and development

• Position is Monday- Friday 8:00 AM- 5:00PM. Overtime as needed.  Candidates currently living within a commutable distance of Groton, CT are encouraged to apply. 
• Candidates currently living within a commutable distance of Indianapolis, IN 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.