The new Data and Predictive Sciences (DaPS) function in Research Tech is focussed on harnessing the power of GSK’s data-as-an-asset to drive research productivity and unlock upper quartile ambitions.

Data & Predictive Sciences works in close collaboration with Research Tech, TAs, GSK Tech, AIML, Risk & Compliance, and across lines within the function itself, and by developing and fostering a high-performing team culture of collaboration, curiosity, consistency, agility, quality, peer review, and continuous improvement with a relentless focus on enabling value realization through end-user uptake and measuring impact. If this sounds like a culture you will thrive in, please apply.

As a Team Leader in Data Sciences aligned to Large Molecule Discovery, 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-sciences solutions ready for industrialization.

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.

In this role you will

• Drive the design, construction, and deployment of cutting-edge data science solutions for Large Molecule Discovery platforms that play a pivotal role in accelerating the discovery and design of hit, lead and candidate molecules.
• Harness GSK Tech infrastructure and capabilities to establish a cutting-edge data science capability for Large Molecule Discovery.
• Lead and build a high-performing team of data scientists focussed on delivery and take charge of skills and career development for both early career and experienced professionals.
• Foster extensive collaboration with lab scientists to design seamless data capture workflows for Large Molecule Discovery experiments, optimizing for data quality standards to feed into machine learning use cases.
• Shape the data strategy for Large Molecule Discovery in collaboration with matrix leadership teams. Work in tandem with partner data science teams to gain a comprehensive understanding of the business context, systems, environment and aligning with the overarching strategy for Research Tech.

Why you? 

Qualifications & Skills: 

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

• A Master's degree or equivalent experience in the field of medicine discovery, with a significant track record in developing data science and analytics capabilities.
• Proficiency in coding languages such as SQL, Python, R, Java, and Javascript.
• Proven experience in constructing data science and analytics solutions on enterprise research data platforms or equivalents.
• Expertise in data visualization and analytics software, including but not limited to Spotfire, Tableau, and RStudio.
• Experience in leading others, whether as a direct line manager, through matrix teams, or by mentoring and supervising early talent.
• Experience with databases, data warehousing, data pipelines, big data solutions, and handling large sequence/structure, assay, or biophysical characterisation datasets.
• Demonstrated ability to lead across scientific and technical disciplines, delivering impactful solutions which realize long-term business value.
• Proven learning agility, scientific curiosity and a focus on continuous development and optimisation of business processes. 

Preferred Qualifications & Skills: 

If you have the following characteristics, it would be a plus: 

• A PhD or equivalent experience in the field of medicine discovery, with a track record in developing data science and analytics capabilities through technical knowledge e.g. of statistical, curve fitting, dimensionality reduction and machine learning methods.
• Experience with medicine discovery platforms through work on projects, with knowledge of wet lab experiments covering lead discovery, screening, pharmacology, developability profiling, sequence/structure de-risking, and design. Additionally, experience in application of Next Generation Sequencing (NGS) methods would be value adding.
• Experience in building data capture, processing, and analytics solutions for medicine discovery experiment workflows and/or automation platforms.
• Experience in commercial or enterprise-designed primary data repositories for sequence and assay data capture.
• Experience in cloud data systems or warehousing solutions to build queries and develop productionized data science and analytics solutions for accelerating discovery processes.
• Experience of partnering with Tech teams and engineers as part of hybrid teams to deliver data solutions for scientific platforms. 

Closing Date for Applications: Sunday 1st September 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.

During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process.  If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.

#LI-GSK

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 Ukdiversity.recruitment@gsk.com or 0808 234 4391. 

Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive .

As you apply, we will ask you to share some personal information which is entirely voluntary. 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. We would really appreciate it if you could take a few moments to complete it.  Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.

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