Head of Process Analytics

Job title:

Head of Process Analytics

Company:

Fujifilm

Job description

Head of Process AnalyticsWould you like to be responsible for setting the direction and driving our execution of Manufacturing Intelligence / Process Analytics solutions?Then we hope you are our new Head of Process Analytics for our talented team based in Hillerød!No matter what role you play in FUJIFILM Diosynth Biotechnologies (FDB), you are part of a team that has a profound impact on the lives of countless individuals and families across the globe.The manufacturing processes that we develop and the medicines that we produce help protect, improve, extend, and save lives.We recognize that to maximize our impact while ensuring the success of our customers and therefore the success of FDB, we need to build a diverse team of individuals that are driven by a passion that we call “Genki.”Genki is personal, it’s your driving force to learn, grow, strive to do better, and strive to be better knowing that your work truly is impacting the lives of countless others around the world for the better.Your New RoleYou will be responsible for setting the direction and driving the execution of Manufacturing Intelligence / Process Analytics solutions across FUJIFILM Diosynth Biotechnologies Denmark (FDBD) end-to-end manufacturing value chain (Drug Substance, Drug Product and Finished Goods).You will collaborate with the organization’s leadership team at a strategic level, as well as hands-on deployment with QA, IT/Automation & Engineers/Scientists on manufacturing data/digital initiatives. You will provide multivariate modelling and analytics systems expertise required to support FDBD manufacturing, both internal and external users across all product modalities.You are responsible for leading the PA group and for the integration and inclusion of new Data Engineers / Scientists/student assistants. By utilizing the skill and capabilities in the team, you will ensure that FDBD reaps the benefits of modern technology and stays at the forefront of manufacturing execution.You will translate business needs and context into concrete and implementable actions within manufacturing data and digitalization. You will be responsible for various tasks related to ongoing projects, optimization of our data value chain and broader strategic initiatives.Your Main tasks

• Act as a thought leader within manufacturing intelligence and set the overall agenda and direction for the manufacturing data and analytics value chain in collaboration with Digital Technologies and Digitalisation.
• Oversee training and development of staff and develop a culture of best practice data operations.
• Delegate and prioritize activity conflicts between maintenance of current cGMP operations (day to day requests) and project work.
• Responsible for client relations regarding process data/analytics.
• Engage in expansion projects, map requirements, and seek to develop and introduce new Manufacturing Intelligence in DP and FG production areas.
• Support innovation and systems improvement initiatives in the process analytics space.

Skills & Knowledge, we hope you possess

• Master’s degree in a relevant science or engineering discipline with 6+ years of related industry experience ideally in a biologics/biotechnology setup.
• Solid understanding of data science and experience with different machine learning algorithms and command of data science ecosystem.
• Working knowledge of systems and software packages and languages such as SIMCA, Statistica, SQL, Python, GIT.
• Experience with regulated Computer Systems Validation for GxP applications projects.
• Experience with running digital/data application projects both with Agile/Scrum ways of working.

As a person you areCurious of nature; you meet and greet people with a smile and have a can-do attitude with excellent communication skills. You work with a humility and respect for the people around you, and you want to lead the way. You are independent, pragmatic, and able to prioritize tasks to meet defined timelines. You work structured with a quality mind-set and enjoy working independently and proactive in a dynamic entrepreneurial environment.Your New Team & DepartmentProcess Analytics is an organization embedded in the Process Science organization, acting as a center of excellence for existing production-ready process data business processes. We seek to develop and introduce new Manufacturing Intelligence to support different end-users/stakeholders of our clinical, PPQ and commercial campaigns.

We are a growing team of highly professional dedicated data scientists/engineers with data science expertise – but also broad experience within pharmaceutical development and manufacturing of monoclonal antibodies.We are key stakeholders in establishing the site’s process data and analytics value chain, whilst being the owners of already validated monitoring applications such as electronic-chromatogram review and machine learning batch performance models. We continuously strive to identify opportunities to improve internal systems and practices, as well as provide direction and development of digital/data offerings to our partners.The work environment is international and informal. We keep a high pace and focus on a vital life balance while having fun. We put a strong emphasis on psychological safety through trust and empowerment within our teams and hope that this is something that speaks to you as well.ApplicationHas this sparked your interest? Then we urge you to send an updated CV and cover letter as soon as possible. We will continuously invite relevant candidates for job interviews and will close the position as soon as we have found the right candidate.The CompanyFUJIFILM Diosynth Biotechnologies is an industry-leading Biologics Contract Development and Manufacturing Organization (CDMO) with locations in Hillerød, Denmark, Teesside, UK, RTP, North Carolina and College Station, Texas, USA. We use our skills, dedication, and ambition to enable impact for the world’s most innovative biotech and biopharma companies reimagining healthcare’s potential. We work across the entire lifecycle of our customers’ products – enabling success throughout. Every cure, vaccine, biologic, and advancement we contribute to starts with our people and our passion. We fuel one another’s passion, help accelerate progress, expand capabilities, strengthen innovation, and improve processes to improve lives.We offer the chance to be part of a global workplace where passion, drive and commitment are met with opportunities for professional and personal development. Deeply committed to diversity and inclusion, we ensure that everyone no matter their background or gender has an opportunity to develop. We take pride in enriching our communities, caring for our environment, and cultivating a world of opportunity for future generations.We aim to foster a collaborative, innovative and rewarding environment, where diverse perspectives and people come together united by a common purpose and shared values. We pursue our fullest potential as individual contributors and team members. We strive to be the employer of choice and offer a competitive compensation and benefit package.FUJIFILM Diosynth Biotechnologies Denmark (FDBD) is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, sexual orientation, gender identify or any other protected class.To all agencies: Please, no phone calls or emails to any employee of FUJIFILM about this requisition. All resumes submitted by search firms/employment agencies to any employee at FUJIFILM via-email, the internet or in any form and/or method will be deemed the sole property of FUJIFILM, unless such search firms/employment agencies were engaged by FUJIFILM for this requisition and a valid agreement with FUJIFILM is in place. In the event a candidate who was submitted outside of the FUJIFILM agency engagement process is hired, no fee or payment of any kind will be paid.

Expected salary

Location

Hillerød, Hovedstaden

Job date

Fri, 09 Aug 2024 23:42:24 GMT

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