System Modelling and Simulations Expert, Open to flexible working
As an System Modelling and Simulations Expert you will implement System Modeling and Simulations directly on key projects to increase fundamental understanding and greatly reduce labour, materials and time required to identify commercial Drug Substance and Drug Product processes. As part of your role you will upskill project team members to expand the use of simulation and work with internal and external experts to development /maintain core simulation software platforms. You will also champion integration of new ways of working into existing QbD work flows (e.g. Process Design, Control Strategy Identification, Risk Assessment), regulatory filing strategies and life cycle planning.
- As part of a matrix Drug Substance or Drug Product project team, use System Modeling to efficiency deliver priority team objectives including but not limited to Process Design, quantitative Risk Assessment, Identification of Critical Process Parameters / Design Space and implementation of advanced process controls.
- Use engineering, chemical or materials science knowledge to postulate mechanisms for physiochemical processes and develop or modify existing mathematical models to describes those mechanisms.
- Perform or direct experimentation and analysis (e.g. chromatography, PAT, physical properties testing) required to develop (e.g. parameter fitting) and verify system models.
- Translate mathematical models to computer models using software platforms (e.g. gPROMS, Aspen and Dynochem) or by writing custom programs (Using Matlab, Python, etc.)
- Development and maintain key system modeling platforms. Leverage external expertise and funding through pre-competitive alliances (e.g. System base Pharmaceutics)
- Provide or coordinate training and real-time support to expand the use of system modeling (simulation) across PDS, BPDS and PSC.
- Work closely with the QbD and DoE communities, Regulatory and other experts to integrate system modeling (Simulation) into QbD process development.
- Work closely with Statistical Science to develop the best in-silico experimental design and to engage them to assess model uncertainty and model predictive confidence limits.
- Stay current with new modeling techniques through publications, conferences and academic and precompetitive collaborations
- Advocate and comply with GMP requirements for recording experiments and associated data and writing modeling sports including scientific review and data checking.
- Comply with requirements of Good Manufacturing Practice, Safety, Quality for the Patient and GSK policies and procedures (sites and department).
- Provide input to budget decisions, recommend capital purchases of software supporting modeling and
- As a member of a project team, provide critical support outside area of expertise if required to make sure projects meet development timelines.
Applicants are asked to demonstrate in their application how they meet the above criteria in order to be successful for interview selection.
CLOSING DATE for application: Wednesday 30th September 2020 (COB).
Please take a copy of the Job Description, as this will not be available post closure of the advert.
When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.
GSK is a science-led global healthcare company that researches and develops a broad range of innovative medicines and brands. Our products are used by millions of people around the world, helping them to do more, feel better and live longer. We employ over 100,000 people globally. For more information on GSK please refer to our website: www.gsk.com
- Relevant experience of working in a highly regulated technical industry.
- Relevant vocational / higher level qualification in a relevant discipline (eg; An MSc or PhD in Chemical Engineering or equivalent experience with an emphasis on development and implementation of mechanistic mathematical models).
- Ability to translate mathematical models into computer programs (using Matlab, Python, gPROMS or similar software tools).
- An understanding of statistical science and related software tools that enable sound experimental design and interpretation of models.
- Good lab skills including the ability to independently design and execute experimental plans and perform any related analytical testing.
- Experience with engineering software such as Dynochem, Aspen or gPROMS.
- Understands and complies with GMP requirements including; data integrity and model validation / maintenance.
As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way.
As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class*(*US only).
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities.
As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorisation before referring any candidates to GSK. The obtaining of prior written authorisation is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorisation being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements.