As a (Senior) Consultant Lab Digitalisation, you will lead and deliver transformative projects that modernize laboratory environments through digital solutions. Leveraging your deep understanding of lab processes you will help design and implement strategies that drive operational efficiency through digital technologies, automation, and advanced data management. You will act as a trusted advisor, manage stakeholder relationships, and contribute to the development of our digital capabilities. This role offers the opportunity to drive innovation both in R&D and regulated environments and shape the future of digital labs.
A particular focus of this role may include supporting the digital transformation of Active Pharmaceutical Ingredient (API) development process and is ideal for candidates with hands-on experience in API manufacturing who are looking to apply their expertise in consulting, driving digital transformation and optimizing processes for pharmaceutical clients.
Project Services
(Senior) Consultant Lab Digitalisation
- Lead and manage projects in the field of lab digitalisation, ensuring on-time and high-quality delivery
- Act as a subject matter expert for lab informatics solutions such as LIMS, ELN, scientific data acquisition and analysis platforms, and system integrations
- Evaluate and recommend emerging technologies and digital trends in lab environments (e.g. cloud platforms, IoT, AR/VR)
- Act as a subject matter expert in API manufacturing, supporting digitalisation initiatives across API development processes
- Collaborate with pharmaceutical clients and internal teams to develop and refine process models for primary and secondary manufacturing workflows.
- Translate complex business and laboratory requirements into scalable digital solutions
- Partner with process development teams to identify digital opportunities in API synthesis, scale-up, and technology transfer
- Drive integration of digital tools and systems (e.g. ELNs, PAT systems, MES) to improve visibility and control across API development workflows
- Ensure digital solutions meet regulatory requirements related to API development in GxP environments
- Build and maintain strong client relationships, acting as a trusted advisor throughout the project lifecycle
- Facilitate client workshops, stakeholder meetings, and requirements gathering sessions
- Contribute to the development and improvement of internal methodologies, tools, and accelerators
- Support knowledge sharing and capability development within the team
- Identify upselling and cross-selling opportunities during engagements and support business development efforts
1
- Bachelor's, Master's or PhD in Life Sciences, Chemistry, Biotechnology, Bioinformatics, or a related field
- Further education or certifications in IT, digitalisation, or project management (e.g. PMP, Agile) are a plus
- Min. 5 years of relevant professional experience, ideally within a life sciences lab environment
- Proven track record in implementing or managing lab digitalisation projects or systems
- Strong understanding of laboratory workflows and digital lab solutions (LIMS, ELN, CDS, LES, etc.)
- Knowledge of the data lifecycle in laboratory environments and system integration
- Ability to translate business needs into technical requirements
- Proficient in managing projects using both traditional and agile methodologies
- Experience in API manufacturing- ideally in process operations, process engineering, or technical support roles.
- Good understanding of pharmaceutical plant operations, including batch processing, equipment utilization, and process optimization.
- Prior experience working with process modelling, data analysis, or manufacturing digitalization is a plus.
- Familiarity with modelling tools (e.g., AnyLogic©, Python and Aspen) is an advantage, but not mandatory.
- Familiarity with regulatory standards for APIs (e.g. ICH Q7, Q8, Q11) and their implications for digital systems
- Experience in managing client relationships and capable of working with stakeholders from science, IT, QA, and business
- Strong organisational and time management skills, capable of leading several workstreams in parallel
- Excellent interpersonal and communication skills
- Skilled in facilitating workshops and delivering clear, persuasive presentations
- Strong analytical and problem-solving skills, with a hands-on and proactive mindset
- Comfortable dealing with ambiguity and change, with the ability to propose and adapt solutions
- Strong team player with the ability to work in a multicultural, cross-functional environment
2284
Singapore
As a (Senior) Consultant Lab Digitalisation, you will lead and deliver transformative projects that modernize laboratory environments through digital solutions. Leveraging your deep understanding of lab processes you will help design and implement strategies that drive operational efficiency through digital technologies, automation, and advanced data management. You will act as a trusted advisor, manage stakeholder relationships, and contribute to the development of our digital capabilities. This role offers the opportunity to drive innovation both in R&D and regulated environments and shape the future of digital labs.
A particular focus of this role may include supporting the digital transformation of Active Pharmaceutical Ingredient (API) development process and is ideal for candidates with hands-on experience in API manufacturing who are looking to apply their expertise in consulting, driving digital transformation and optimizing processes for pharmaceutical clients.
Project Services
- Lead and manage projects in the field of lab digitalisation, ensuring on-time and high-quality delivery
- Act as a subject matter expert for lab informatics solutions such as LIMS, ELN, scientific data acquisition and analysis platforms, and system integrations
- Evaluate and recommend emerging technologies and digital trends in lab environments (e.g. cloud platforms, IoT, AR/VR)
- Act as a subject matter expert in API manufacturing, supporting digitalisation initiatives across API development processes
- Collaborate with pharmaceutical clients and internal teams to develop and refine process models for primary and secondary manufacturing workflows.
- Translate complex business and laboratory requirements into scalable digital solutions
- Partner with process development teams to identify digital opportunities in API synthesis, scale-up, and technology transfer
- Drive integration of digital tools and systems (e.g. ELNs, PAT systems, MES) to improve visibility and control across API development workflows
- Ensure digital solutions meet regulatory requirements related to API development in GxP environments
- Build and maintain strong client relationships, acting as a trusted advisor throughout the project lifecycle
- Facilitate client workshops, stakeholder meetings, and requirements gathering sessions
- Contribute to the development and improvement of internal methodologies, tools, and accelerators
- Support knowledge sharing and capability development within the team
- Identify upselling and cross-selling opportunities during engagements and support business development efforts
1
- Bachelor's, Master's or PhD in Life Sciences, Chemistry, Biotechnology, Bioinformatics, or a related field
- Further education or certifications in IT, digitalisation, or project management (e.g. PMP, Agile) are a plus
- Min. 5 years of relevant professional experience, ideally within a life sciences lab environment
- Proven track record in implementing or managing lab digitalisation projects or systems
- Strong understanding of laboratory workflows and digital lab solutions (LIMS, ELN, CDS, LES, etc.)
- Knowledge of the data lifecycle in laboratory environments and system integration
- Ability to translate business needs into technical requirements
- Proficient in managing projects using both traditional and agile methodologies
- Experience in API manufacturing- ideally in process operations, process engineering, or technical support roles.
- Good understanding of pharmaceutical plant operations, including batch processing, equipment utilization, and process optimization.
- Prior experience working with process modelling, data analysis, or manufacturing digitalization is a plus.
- Familiarity with modelling tools (e.g., AnyLogic©, Python and Aspen) is an advantage, but not mandatory.
- Familiarity with regulatory standards for APIs (e.g. ICH Q7, Q8, Q11) and their implications for digital systems
- Experience in managing client relationships and capable of working with stakeholders from science, IT, QA, and business
- Strong organisational and time management skills, capable of leading several workstreams in parallel
- Excellent interpersonal and communication skills
- Skilled in facilitating workshops and delivering clear, persuasive presentations
- Strong analytical and problem-solving skills, with a hands-on and proactive mindset
- Comfortable dealing with ambiguity and change, with the ability to propose and adapt solutions
- Strong team player with the ability to work in a multicultural, cross-functional environment
2284
Singapore