Scientific Principal Engineer

Job title:

Scientific Principal Engineer

Company

Johnson & Johnson

Job description

Position: Process Engineer – Predictive Modeling ExpertAt Johnson & Johnson, we’re on a mission to improve the lives of millions of patients around the globe. If you’re ready to be a pioneer in the development of innovative therapeutics, we want you to join us on this exciting journey! This role offers a unique opportunity for a dynamic Process Engineer to make a real impact.About the DepartmentJoin the Global Pharmaceutical Product Development and Supply (PPDS) organization within the Therapeutics Development and Supply (TDS) team at Johnson & Johnson. Based in Beerse, Antwerp, Belgium, our development centers span the US, Asia, and Europe, driving the creation of cutting-edge pharmaceutical dosage forms.Your RoleAs a key player in our collaborative team of process engineers, you will help shape the future of drug formulation and process development. Your responsibilities will include:

• Be the Expert: Act as a process analytics and modelling expert in drug product development teams, sharing your engineering and scientific insights to drive success.
• Innovate with data and physics: Develop our process modeling toolbox of the future in collaboration with internal partners as well as external research partners and universities.
• Champion our digitalisation ambitions: Lead the change in data analytics and process modelling by actively scouting your research domain and translate your ideas into valuable projects in close cooperation with your stakeholders.
• Collaborate for Success: Work closely with cross-functional teams to strengthen partnerships and optimize processes. Cultivate and expand your professional internal and external network by fostering relationships that enhance our mission.

QualificationsYour Qualifications

• Education & Experience: PhD or a Master’s degree with 5+ years of experience in hybrid process modeling.
• Technical Expertise: Proficiency in engineering principles, process development, and scale-up, with a solid foundation in thermodynamics, fluid dynamics, and mass transfer.
• Modeling Skills: Strong background in mechanistic modeling, mathematical concepts, linear algebra, and numerical methods.
• Data-Driven Mindset: Hands-on experience with statistical, machine learning, and AI techniques.
• Programming Proficiency: Skilled in programming languages such as Python or MATLAB for data analysis and algorithm implementation.
• Collaboration & Communication: Excellent interpersonal skills to work effectively in multidisciplinary teams and share your insights.

Our Offer

• Exciting Opportunities: Join an international and dynamic environment that promotes continuous learning and personal growth.
• Prime Location: Work at a site that encompasses all aspects of drug discovery and development, just a stone’s throw from the vibrant city of Antwerp.
• Competitive Benefits: Enjoy a competitive salary, on-site sports facilities, health programs, and family benefits that support your well-being.
• Inclusive Culture: Be part of a diverse team where your opinions are valued, and a healthy work-life balance is a priority.

If you’re ready to take the next step in your career and make a meaningful impact, we want to hear from you!We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Expected salary

Location

Beerse, Antwerpen

Job date

Fri, 15 Nov 2024 07:30:02 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (jobsnear.net) you saw this job posting.