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

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.

Basic Qualifications & Skills:

• 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 visualising 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:

• 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 in an organization.

Closing Date for Applications – 18 March 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.

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.