Statistics Data Science Jobs in Massachusetts (NOW HIRING)

GSK is a place where outstanding people do amazing things. As a science-led global healthcare company, we exist to help people do more, feel better, live longer. Our goal is to be one of the most innovative, best performing, and trusted healthcare companies.

This is an exciting opportunity to channel your passion for Innovation in the field of Statistics and Data Science to help shape the future of the Biostatistics function and transform the way in which GSK uses data and quantitative thinking to drive decision-making in R&D.

Biostatistics is the single-largest functional group of Statisticians, Programmers and Data Scientists within GSK R&D, numbering approx. 900 permanent people in the US, UK, Europe and India. Our mission is to put statistical thinking at the heart of R&D decision-making; to ensure that predictive models and well-designed experiments and trials deliver robust evidence as the input to those decisions – ultimately making the R&D process more efficient and increasing the probability of success. We are investing in our cutting-edge innovation capabilities by expanding the Statistics & Data Science Innovation Hub (SDS-IH) led by Prof Nicky Best. The vision of SDS-IH is to be the catalyst for innovation and advanced data-driven decision making. To achieve this, we are forming agile teams dedicated to untangling and resolving complex data challenges across R&D, constructing robust data pipelines, comprehensive analytics, and dynamic dashboards to enable stakeholders to take data-informed decisions in real-time.

At the heart of SDS-IH lies a diverse coalition of Statisticians and Data Scientists - a synthesis of unique skills and experiences. Together, we are the architects of novel quantitative methodologies, systems, and tools – a living embodiment of our vision.

Why join The Statistics & Data Science Innovation Hub?

SDS-IH is now poised to take a leap forward and we are looking for an entrepreneurial statistican/data scientist to join us as Head of Data Science Innovation for R&D Operations to help us supercharge quantitative decision-making across R&D. Our goal is to interconnect and amplify current data and modelling initiatives, fundamentally transforming and accelerating the landscape of medicine development by creating a framework to enable the consistent and scalable use of data across R&D. We envision a future where an advanced, partially automated system seamlessly orchestrates end-to-end clinical development plans. This system will not just streamline processes; it will set new benchmarks in efficiency, accuracy, and innovation in the journey of medicine and vaccine development from laboratory to patient.

• Support the design and implementation of a framework to enable the consistent and scalable use of data across R&D and develop an advanced, partially automated system for orchestrating end-to-end clinical development plans, in collaboration with other pillars within SDS-IH and relevant R&D line functions.
• Build strategic relationships with business and operations partners across R&D (e.g. Clinical Operations, Clinical Supply Chain, Portfolio Analytics, Finance, HR, Regulatory, Resource Management) to identify and implement opportunities to apply predictive models to make data-informed decisions in pursuit of business goals
• Proactively seek opportunities across R&D to leverage innovative statistical and data science methods (including gen AI) to drive business improvements and run prioritized experiments to identify ideas with high-level business impact
• Lead and inspire teams of Statisticians and Data Scientists to deliver functional products, using agile and other principles as appropriate.
• Ensure the team delivers real business value through the deployment and maintenance of statistical/ML models into GSK’s production ecosystem (aka MLOps).
• Member of the SDS-IH Leadership Team with accountability for developing and driving the SDS-IH strategy to connect and scale predictive modelling capabilities for enhanced efficiency, with a focus on the interplay between various business and clinical operations and ensuring alignment of priorities with the overall SDS-IH group and wider Biostatistics’ and company’s strategic goals.

• Masters in data science, statistics, computer science, mathematics, engineering or related quantitative discipline.
• Extensive experiences in drug development, clinical trials, clinical operations and regulatory compliance
• Demonstrable evidence of entrepreneurship with proven record of achieving business impact through data-informed insights and delivery of innovative data science products
• Considerable leadership experience in planning and directing projects and effectively prioritising goals
• Demonstrable evidence of learning agility and unbiased approach to solving modelling and prediction problems using appropriate tools and methods
• Experience writing and delivering R and/or Python packages into production: version control; testing; CI/CD; environment management through containers and/or virtual environments
• Effective verbal and written communication and stakeholder engagement conveying complex concepts to diverse audiences and managing cross-departmental relationships

• PhD (preferred) in data science, statistics, computer science, mathematics, engineering or related quantitative discipline.
• Demonstrated understanding of organizational dynamics in a matrix environment preferred.

LI-GSK

Why Us?

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. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

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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