Job description
Posted Date: Sep 6 2023
BioPharm Process Research (BPR) is an early process development function responsible for de-risking and accelerating biopharmaceutical assets into clinical manufacture and onward late-stage development and commercial manufacture. Due to recent investments in scale-down, high-throughput process and analytical technology within BPR an exciting new informatics opportunity exists to fully exploit the data generated to deliver deeper and faster understanding of cell line and molecule quality in our process design space.
The successful candidate would support data driven advances in cell line generation, characterisation and selection and the onward process de-risking occurring in BPR. The candidate will join the Digital & Data Analytics (DDA) team and work with other data and lab scientists to deliver the ambitious digital plan of BPR. There is an expectation that the candidate will stay connected with the wider modelling community within GSK at its global sites and contribute to development of good practices.
In this role you will:
- Develop and apply informatics tools and predictive models, using data generated across BPR and partner groups, to answer portfolio questions and enable data-driven decision making.
- Build interactive scientific dashboards to enable data exploration and decision making
- Apply advanced data analysis, data wrangling and model building to identify relationships between key cellular and process characteristics and product quality and determine methods to exploit and apply this knowledge in the BPR portfolio workflow.
- Train and share knowledge and ways of working internally to upskill existing staff as required. Work as part of a multi-disciplinary department to identify the most impactful workflows that will derive unique cell, process and molecule understanding.
- Seek all opportunities to develop and maintain a strong IP position.
- Represent BPR as an expert in internal and external meetings and projects contributing to informatics strategy as required.
Why join us:
- To use your skills to improve patients’ life
- To get the opportunity to apply data science, ML and modelling in industrial settings
- To develop your knowledge and expertise in the biopharmaceutical industry
- To join a team of fantastic people and scientists
Why you?
Qualifications & Skills:
We are looking for professionals with these required skills to achieve our goals:
- Bachelor’s Degree or equivalent in engineering, data science, scientific, mathematical, statistical, or other CMC – related discipline
- Very good knowledge of at least one programming language, e.g., Python, R or similar
- Hands on experience with advanced machine learning and data analytics techniques and their application
- An ability to work as part of a cross-functional team, engaging other scientists with complementary skill sets and work with different datasets and objectives between projects
- An excitement to work with scientists and participate in the efforts of upskilling your colleagues in the data science space
Preferred Qualifications & Skills:
If you have the following characteristics, it would be a plus:
- PhD in mathematical, statistical, engineering, scientific, or other CMC – related discipline
- A background in biopharmaceuticals, biotechnology or relevant will be a very strong plus. More specifically, experience with some range of CMC activities, including cell line development, upstream, downstream processing and/or process analytical technologies
- Experience in creating dashboards and combining data from different databases together
- Experience with mechanistic modelling on top of the very good knowledge of data analytics/ML techniques.
- Good knowledge of using tools like Github for code development/versioning
- A ‘disruptive’ mindset, proposing novel approaches to challenging scientific questions
Closing Date for Applications: 20th September 2023 (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.
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Why Us?
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.
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 neurodiversity, 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.
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