Data Scientist Stevenage, England
Job description
Posted Date: May 3 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.
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: 19th May 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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