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SENIOR ASSOCIATE SCIENTIST, PROCESS, SCIENCE, MODELING AND DATA

La Carolina - Jaén

Descripción de la oferta de empleo

Johnson & Johnson Innovative Medicine is recruiting for a Senior Associate Scientist to join our Process Science, Modeling and Data (PSMD) team within Manufacturing, Science and Technology (MSAT).  The preferred and primary location options are Titusville, NJ and Holly Springs, NC.  Remote work options in the US may be considered on a case-by-case basis and if approved by the Company.
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 https://www.
nj.
om/.
The Senior Associate Scientist in Process, Science, Modeling and Data (PSMD) is a highly-motivated and collaborative member of our multi-functional and international team.
In this role, you will develop and deploy modeling, process monitoring and advanced process control technologies within the manufacturing environment of our growing portfolio of large molecule, advanced therapy and small molecule products.  Key Responsibilities:  Contribute to process model development by collaborating with various site/local teams including MSAT, operations, development, analytical, IT and digital/data science teams.
Establish and implement projects to deliver innovative mechanistic, statistical or hybrid models and data analytics strategies for pharmaceutical processes.
Apply advanced techniques including multivariate analysis, AI/ML, algorithm development and process modeling to analyze datasets, support investigations and drive process improvements.
Set standards of excellence by demonstrating technical expertise, strong work ethic, integrity and professional behavior.
Collaborate with cross-functional teams build, validate, deploy and sustain modeling solutions.  Prepare detailed technical documents and present work at internal/external meetings.
       Work in a dynamic team-oriented environment and respect diversity and inclusion when interacting with colleagues and partners.
Qualifications        Minimum of a Bachelor’s or equivalent degree in a Scientific or related field is required.  A degree in a technical field such as Computer Science, Chemical Engineering, Bioengineering, Biomedical Engineering, Chemistry, Applied Mathematics, or similar quantitative scientific field is preferred.  Prior knowledge and proficiency with programming, data analysis and process modeling tools such as Python, SIMCA, etc.
are required.
Consistent track record developing process models for a variety of biopharmaceutical unit operations and process optimizations with applications to commercial manufacturing is required.
Strong problem-solving skills with a solution-oriented mindset is required.
Knowledge of machine learning, AI, statistical analysis including (but not limited to) regression analysis, clustering, outlier detection, decision trees and neural networks is preferred.
Strong Python or R programming skills are required.
Proven experience in prioritizing and leading a complicated portfolio of projects is preferred.
General knowledge of pharmaceutical process steps such as biologics manufacturing is required.
Excellent communication and interpersonal skills are required.
This position requires up to approximately 25% domestic and international travel.  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.  The anticipated base pay range for this position is $ to $.
The compensation and benefits information set forth in this posting applies to candidates hired in the United States.
Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.
The Company maintains highly competitive, performance-based compensation programs.
Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan.
The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year.
Bonuses are awarded at the Company’s discretion on an individual basis.
Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs.
medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
Employees are eligible for the following time off benefits.
Vacation – up to 120 hours per calendar year Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year Holiday pay, including Floating Holidays – up to 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year  For additional general information on Company benefits, please go to.
- https://www.
areers.
nj.
om/employee-benefits.
For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.
areers.
nj.
om.
This job posting is anticipated to close on .  The Company may however extend this time-period, in which case the posting will remain available on https://www.
areers.
nj.
om to accept additional applications.
https://www.
areers.
nj.
om/data-science IND7
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Detalles de la oferta

Empresa
  • Sin especificar
Localidad
Dirección
  • Sin especificar - Sin especificar
Fecha de publicación
  • 30/04/2024
Fecha de expiración
  • 29/07/2024
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