Quality Lead - Stevenage, Hertfordshire, United Kingdom - GlaxoSmithKline

Description

The new Data and Predictive Sciences (DaPS) function in Research Tech is focused on harnessing the power of GSK's data-as-an-asset to drive research productivity.

As a Team Leader in Data Sciences aligned to Protein, Cellular & Structural Sciences and Chemical Biology , you will lead a group of data science professionals who will join you in collaborating with scientists in Research Tech functions to develop and deliver consistent high quality, high impact, industry-leading data-science solutions ready for industrialization.

In this role, you will work and lead across scientific and technical disciplines to deliver impactful solutions, build trusting relationships, and realize lasting business value in a matrix environment.

Data & Predictive Sciences will only be successful by working in close collaboration with Research Tech, Therapeutic Areas, Scientific Digital & Tech, Onyx R esearch Data Platform, AIML, Risk &Compliance, and across lines within the functionitself.

Success will require developing and fostering a high-performing team culture of collaboration, curiosity, consistency, agility, quality, peer review, and continuousimprovement with a relentless focus on realizing valuethrough end-useruptake and measurable impact.

We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.

our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in-office work.

Deliver data solutions with measurable cross-organizational impact and value, leveraging existing or planned infrastructure from partner functions in Scientific Digital & Tech and GSK's Onyx Research Data Platform.

Enable facile data collation, preparation, and storage, perform exploratory data analysis to identify trends, patterns, and anomalies in the data and communicate findings.

Lead a team of data science professionals and be responsible for skills and capability development, career development and driving performance within the team.

Build awareness of and contribute to the overall Data & Predictive Sciences goals and objectives via implementation of relevant components of those objectives.

Collaborate with research scientists and stakeholders to understand data needs and deliver appropriate solutions.

Work with other data scientists to build an understanding of the business context, systems, environment, strategy and people aligned to this area.

This includes an understanding of the relevant internal and external high-volume data sources, validity and domains of such data aligned with business objectives.

Work across Data Sciences teams to contribute to peer review, quality, consistency, enterprise thinking, and flexibly resource projects to foster skills development and best alignment of skills to projects.

Pharma/biotech experience with a PhD or extensive pharma/biotech experience with a Masters in a relevant scientific domain with a significant data sciences component.

Proficiency in one or more programming languages: e.g. Python (preferred), R, Java, Javascript, including toolchains for documentation, testing and operations.

Experience working as both a Team Lead and a Team Member with a demonstrated passion for driving performance, skills, capability, and career development to grow and improve impact of the team.

Knowledge and experience of data analysis in scientific areas aligned to Protein Cellular & Structural Science and Chemical Biology such as bioinformatics, structural biology, biophysics, statistics, image analysis, protein and small molecule structure.

Experience assembling (preparing raw data for analysis), analysing, and visualizing complex scientific data including use of databases, data warehousing, data pipelines, big data technologies and working with large scale biology, chemical or structural data.

Demonstrated learning agility, and scientific curiosity while maintaining focus on driving greater impact in the face of uncertainty and change.

Google Cloud, AWS, Azure, Kubernetes) and/or HPC experience. Experience with modern software development tools / ways of working (e.g. Object-Oriented Programming, git/GitHub, DevOps tools, CI/CD, metrics / monitoring, ...)

Software Engineering experience demonstrated in a corporate setting, via open-source software contribution, or public library (Python, R, etc) development.

Knowledge of modern data engineering tools (e.g. airflow, kafka, spark, ...)
Familiarity and/or experience with concepts related to Data Fabric, Data Mesh, and Data-as-an-Asset.
Strong knowledge of statistical analysis, machine learning, and data manipulation libraries (e.g. pandas, scikit-learn, PyTorch would be advantageous).
Track record of change leadership and driving lasting adoption by enhancing data science skills (e.g. statistics and design of experiments, data analysis and visualization, digital safety etc) in an organization.

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.

Uniting science, technology and talent to get ahead of disease together.

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 organisation where people can thrive.

We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

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.

.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.

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The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK.

In the absence of such written authorization 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.

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For more information, please visit GSK's Transparency Reporting For the Record site.
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