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 Research 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. If this sounds like a culture you will thrive in, please apply.

We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme.

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

Discover more about our company wide benefits and life at GSK on our webpage

In this role you will

• 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 your director to prioritize your book of work. 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.
• Contribute strategic thought partnership and execute relevant components of an organizational strategy.
• 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. Seek and respond to peer feedback to grow your skills and impact.

Why you?

Basic Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

• 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.

Preferred Qualifications & Skills:

Please note the following skills are not necessary, just preferred, if you do not have them, please still apply:

• Cloud experience (e.g. 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, ...)
• Experience with Nextflow.
• 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.

Closing Date for Applications - 7 May 2024 (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.

Why GSK?

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 prevent and treat disease with vaccines, specialty and general medicines. 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).

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 place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on or 0808 234 4391.

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