Process Engineering Senior Specialist

Vertex Pharmaceuticals Incorporated

$100K — $151K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master’s degree in Chemical Engineering, Data Analytics, or related field required; 2 years of relevant experience in a similar role.
  • Strong understanding of current Good Manufacturing Practices (cGMP) in regulated environments.
  • Ability to effectively communicate complex technical concepts to a variety of stakeholders.
  • Expertise in statistical and computational methods for process characterization and predictive modeling.
  • Proven experience in managing complex projects within set timelines and budgets.
  • Proficiency in advanced data modeling and analytical techniques.
  • Experience can include graduate program work or equivalent combination of education and experience.

Responsibilities

  • Develop and deploy data analytics solutions for manufacturing processes.
  • Create frameworks for new analytical capabilities focusing on technical implementation.
  • Tailor analytical approaches based on business needs in collaboration with stakeholders.
  • Develop multivariate data analyses and machine learning models to characterize processes.
  • Lead innovative monitoring and control strategies with development partners.
  • Act as a subject matter expert in digital twin initiatives, guiding process engineers.
  • Support troubleshooting and resolution of operational quality issues.

Benefits

  • Medical, dental, and vision coverage.
  • Generous paid time off including a company-wide shutdown in summer and winter.
  • Educational assistance programs such as student loan repayment.
  • Commuting subsidy and matching for charitable donations.
  • 401(k) retirement savings plan.
Full Job Description

Job Description

JOBTITLE: Process Engineering Senior Specialist  

LOCATION: 50 Norther Ave., Boston, Massachusetts 02210 

 

OPENINGS:

 

DUTIES:  

  • Develop & deploy data analytics solutions across manufacturing platforms and products at Vertex and at partner organizations. 

  • Enable the development of novel analytical capabilities, by providing frameworks for the high-level approach and establishing robust processes for technical and statistical implementation.  

  • Collaborate with internal and external stakeholders to ensure the approach is tailored to the specific business needs and question.  

  • Work closely with process and PAT engineers in MS&T to develop multivariate data analyses, machine learning models, mechanistic models, and simulations for characterization of processes at multiple scales.  

  • Work closely with development partners to pioneer new approaches to monitoring and control, including advanced data analytics, multivariate modeling, and machine learning driven predictive algorithms.  

  • Collaborate with process engineers in digital twin initiatives as a subject matter expert to ensure modeling projects meet the needs of MS&T.  

  • Collaborate effectively within a matrix environment, with process engineers across various scientific disciplines and departments to develop a strategy and appropriate goals for data science work.  

  • Author, review, and approve technical documentation.  

  • Assist with troubleshooting pharmaceutical manufacturing operations and online measurements in commercial manufacturing.  

  • Assist with and lead resolution of quality investigations.  

  • Support the development of tools and standards for department functions, including process monitoring dashboards and standardized methodologies for modeling and reporting.  

  • Drive best practices for trend analysis and continuous process improvement. 

Telecommuting permitted up to 40%. 

 

REQUIREMENTS:   Employer will accept a Master’s degree in Chemical Engineering, Data Analytics, or a related field and 2 years of experience in the job offered or in a Process Engineering Senior Specialist-related occupation.  

 

Position requires demonstrable experience in the following: 

  •  Comprehensive understanding of current Good Manufacturing Practices (cGMP) within regulated pharmaceutical environments.  
  • Ability to communicate complex technical concepts clearly and effectively to diverse audiences, including senior leadership and non-technical stakeholders, through presentations and reports.  
  • Expertise in applying statistical and computational methods for process characterization, advanced data analysis, predictive modeling, and automated reporting, including integration with automation platforms.  
  • Demonstrated experience in leading and managing complex projects, ensuring adherence to timelines, budgets, and quality standards.  
  • Proficiency in monitoring process performance, developing control strategies, conducting root cause analyses, and supporting investigations to maintain compliance and optimize operations.  
  • Strong capability in advanced data modeling and analytical techniques to extract insights and drive initiatives that foster innovation and continuous improvement in manufacturing processes.  
  • Experience may be gained during graduate program. Will accept any suitable combination of education, training and/or experience.  

 

Telecommuting permitted up to 40%. 

 

Rate of Pay: $114088.00 - $151200.00 

CONTACT: Send Resume to [email protected]. Reference 12140.798. EOE. 

Pay Range:

$100,800 - $151,200

Disclosure Statement:

The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations.  From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.

Flex Designation:

Hybrid-Eligible Or On-Site Eligible

Flex Eligibility Status:

In this Hybrid-Eligible role, you can choose to be designated as: 
1.    Hybrid: work remotely up to two days per week; or select
2.    On-Site: work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time. 

#LI-Hybrid
 

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