Lenox Executive Search has a client in the Boston area seeking a postdoctoral fellow to join it's Process Chemistry group.

(The role is a 1-year contract to start with the possibility of extending/converting.)

OBJECTIVE:

• Apply engineering, mathematical and programming skills to develop new process unit operation and equipment models relevant to synthetic molecule Active Pharmaceutical Ingredient (API).
• Provides theoretical/conceptual input to the different stages of process development and optimization based on simulations results and establish new workflows for process development of future.
• Establish the systems engineering as a key factor to enhance speed, quality and flexibility in API development and manufacturing from early candidate selection through to commercial application.
• Proactively identifies technical issues/challenges and proposes potential resolutions and develop novel approaches geared to enhance efficiency of process understanding, development, and optimization.
• Stays current on emerging technological trends and external communities related to process modelling, data science, data engineering, computational process development, and advanced process control.

ACCOUNTABILITIES:

• Designs, builds, and deploys industry-leading predictive models (empirical, first principle, and/or hybrid) to support optimization of control loops, platform performance and process development workflows to advance pipeline programs and innovation initiatives.
• Utilizes first principle and data driven models to construct process digital twins that will enable the digital exploration and optimization of the API development space:
• Design model based experimental strategies
• Develop reaction kinetic models to drive reaction engineering activities
• Develop computational fluid dynamics (CFD) models of liquid-liquid systems across scales.
• Apply expertise in thermodynamics and kinetics to deliver modeling across key unit operations of the API domains (Vapor Liquid Equilibrium, Liquid Liquid Extraction, solubility, solid state and chemical)
• Develop crystallization models to support intermediate and API process development
• Develops and verifies Digital Twins for batch and continuous API processes.
• Understands project timelines and deliverables and plans/coordinates project work accordingly with departmental, functional and external stakeholders
• Serves as a technical resource for PharmSci staff and leverages expertise in Digital CMC as a functional resource/trainer.
• Independently designs experiments to generate model input data and validate models
• Assists with development of project strategy and communicates complex data/decisions within department and cross functionally as necessary

EDUCATION, EXPERIENCE AND SKILLS:

• PhD in Mathematics, Chemical Engineering, Mechanical Engineering, or related pharmaceutical science and 0+ years relevant process modeling experience
• Excellent knowledge of chemical engineering principles, process modeling, process control and optimization methodologies including: reaction kinetics, fluid mechanics, thermodynamics, heat and mass transport and engineering statistics.
• Proven track record (published manuscripts, invited talks, book chapter contributions,…) developing complex mechanistic models to support process simulation
• Experience creating models using gPROMS, Aspen, DynoChem, Matlab, Python or similar programming languages
• An innovator, proposing novel approaches to challenging scientific questions and exploring new modeling approaches
• Experience in multivariate analysis, statistical and deep learning methodologies a plus
• Experience in working in a multi-disciplinary team environment

Knowledge and Skills:

• Analytical and Problem Solving Skills - Able to troubleshoot critical issues or problems, and determine causes and possible solutions
• Teamwork -- Ability to work well in highly cross functional team environment and across global line functions.
• Communication Skills -Able to expresses one’s self clearly and concisely within team; documents issues and/or concerns concisely with colleagues; adjusts communication style as appropriate for the audience; timely and effectively communicates issues to supervisor; technical writing skills to support authorship of internal technical documents
• Organization – Exercises good time management and prioritization skills and is able to successfully manage multiple tasks simultaneously
• Knowledge Sharing - Ability to capture organizational knowledge; improve solutions, processes, and deliverables through use of information; improve information capital by contributing experience, theories, deliverables, and models for others to use
• Resource Management -Ability to manage one’s time within individual, departmental, and corporate goals and timelines; management of internal and external resources
• External Involvement – Demonstrated involvement in professional community evidenced by presentation of scientific posters or lectures at professional conferences or events
• Technical - Subject matter expertise and knowledge of applicable lab equipment and operations

PHYSICAL DEMANDS:
N/A

Job Types: Full-time, Contract

Pay: $78,000.00 - $81,000.00 per year

Benefits:

• Paid time off

Schedule:

• 8 hour shift

Education:

• Doctorate (Required)

Experience:

• Chemistry, manufacturing & controls: 2 years (Preferred)

Work Location: One location