Hiring.Camp

Experienced Data & Systems Engineer

Jj

·

Yesterday

Location
NL014 Janssen Vaccines & Prevention B.V, Netherlands
Workplace
Onsite
Type
Full-time
Department
Engineering
Closing date
Today
Source
Workday

Description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Leiden, South Holland, Netherlands

Job Description:

Job Description Experienced Data & Systems Engineer

The Research & Development group of J&J Innovative Medicine discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases, cardiovascular and pulmonary hypertension.

The Advanced Therapies Pilot Plant (ATP) in Leiden produces clinical trial material for advanced therapies, a novel class of medical products that uses cell and gene therapies to treat diseases and have the potential to cure diseases when no treatment is available. It's a very exciting field, as no established manufacturing platforms exist for these products, which means that new processes need to be developed to ensure efficient production of high-quality GMP material!

The ATP is a very active pilot plant, with 3 full GMP productions streets, making 5 different product types, and a 4th street with a Drug product fill line being created - making it a true end-to-end pilot plant! The ATP teams also work in close collaboration with the process development teams to enable the fast delivery of the products for clinical trials.

We are recruiting an experienced data & systems engineer to join our data and systems team. We are seeking a highly motivated and engaged individual who will be highly involved in the operation and management of the data and systems related to GMP production.

Key Responsibilities:

Bring the process from the lab to the pilot plant as part of a team by

  • Leading the design, development and maintenance of robust and efficient data systems that support our organization's operations, specifically focused on the building, validation and operation of electronic batch records used for GMP production
  • Close collaboration with operators, scientists, engineers, and software engineers to ensure seamless data flow and accessibility, both during and after batch execution. This can also involve overseeing the implementation of data historians and dashboards.
  • Coaching more junior colleagues in techniques, processes, and responsibilities.

Qualifications

Education:

BSc, MBO (level 4) or HBO degree, or equivalent in the field of Microbiology/Life Sciences/Engineering

Experience working in the Pharma/biotech industry experience is a plus.

Experience and Skills:

  • Minimally basic degree in Science, Engineering and Technical subjects.
  • Excellent verbal and written communication skills in English, including ability to effectively communicate with internal and external stakeholders.
  • Excellent computer proficiency e.g. MS Office, SAP, Tulip, OsiPi, Opstrakker, etc.
  • Good understanding of computer programming principles and low-code software system usage, as well as validation of such systems for GMP use.
  • Excellent analytical skill to identify gaps and root causes of issues and think out of the box to develop a solution.

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.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.]

 

 

Required Skills:

 

 

Preferred Skills:

Advanced Analytics, Analytical Reasoning, Business Behavior, Coaching, Database As A Service (DBaaS), Data Engineering, Data Modeling, Data Privacy Standards, Data Quality, Data Science, Data Structures, Design Thinking, Problem Solving, Project Management, Requirements Analysis, Technologically Savvy

  

 

The anticipated base pay range for this position is:

€53 500,00 - €85 445,00

 

 

Benefits:

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.

 

*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.

 

 

Additional information:

53 500,00 - 96 500,00 EUR Annual

Skills

Data ScienceData EngineeringSAPClinical TrialsGMPProject Management

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