Lead Data Science Team - Protein & Chemical Biology

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 function itself. Success will require developing and fostering a high-performing team culture of collaboration, curiosity, consistency, agility, quality, peer review, and continuous improvement with a relentless focus on realizing value through end-user uptake 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 Life at GSK | GSK

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, Java script, including tool chains 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.…