Principal Statistician or Statistical Leader - Research

Site Name: UK - Hertfordshire - Stevenage, UK - Hertfordshire - Ware RD, UK - London - Brentford, USA - Pennsylvania - Upper Providence
Posted Date: Aug

Our team collaborates with top laboratory and clinical scientists to advance exciting, innovative ideas in drug discovery. We design experiments, analyze data, and visualize results for projects that range from small studies with single endpoints to high-dimensional genomic data.We use traditional statistical methods and modern machine learning algorithms, design experiments to develop new technologies and analyze data to identify biomarkers for clinical trials. Our work is varied and challenging with the common goal to advance the science of human health.

To succeed, team members need good technical and communication skills, the desire to develop their statistical and scientific knowledge continually, and the ability to develop practical solutions and apply statistical techniques in creative ways. Successful candidates will be innovative, pragmatic, and flexible, thriving in a dynamic, collegial environment with frequent new challenges and excellent opportunities to develop and succeed.

In this role, you will be responsible for providing statistical consulting for 1-2 scientific research areas within GSK.

Key Responsibilities include, but are not limited to (Varies on position level):

• Collaborating closely with GSK scientists and scientific management to address important drug discovery questions with statistical methods
• Identifying key scientific challenges that can be addressed with statistical methods and proposing how to do so
• Applying existing statistical methods or developing new ones to address scientific problems
• Designing experiments and ensuring experiments are designed to address scientific questions clearly and accurately
• Analyzing data and ensuring the results of statistical analyses can be relied upon for making important drug discovery decisions around targets, molecules, and technologies
• Communicating statistical concepts, design recommendations, and the results of statistical analyses clearly and accurately to GSK scientists and research managers at all levels
• Working with other statisticians on internal department initiatives, e.g. to develop specific technical or consulting skills, new processes, etc.
• Reviewing literature and writing simulations to evaluate statistical methods for application to drug discovery problems.
• Representing our statistics team in collaborations with other internal statistics teams and scientists.
• Supervising a small team (2-5 people) of statisticians, enhancing their ability to address key scientific questions by providing technical (statistical and scientific) direction to projects and by developing their consulting skills
• Identifying and contributing statistics methodological expertise within the team through ongoing personal development and collaboration on challenging technical problems

GSK's overall R&D strategy focuses on science related to the immune system, the use of human genetics and advanced technologies. These unlock the potential of new areas of science, enabling us to design and develop new classes of medicine and bring them to patients more quickly and cost-effectively.

Applications close once position is filled.

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 . This will help us to understand any modifications we may need to make to support you throughout our selection process.

LI-GSK

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

• MSc or PhD in statistics, biostatistics, or a closely related field with formal statistical training

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

• Strong academic record
• Significant experience as a statistician, collaborating with scientists from other disciplines
• Strong oral and written English communication skills

For Principal Statistician ability to:

• To apply statistical skills accurately to practical problems
• To collaborate well with statisticians and scientists from other disciplines
• To explain novel and standard statistical methods clearly to scientific colleagues
• To identify existing or develop new statistical methods to improve the design, analysis, and interpretation of scientific studies
• To evaluate, recommend, and implement statistical tools for addressing scientific problems
• To learn new statistics skills quickly and independently

For Leader demonstrated ability to:

• Identify existing or develop new statistical methods to improve the design, analysis, and interpretation of scientific studies
• Evaluate, recommend, and implement statistical tools for addressing scientific problems
• Deliver statistical consulting (design, analysis, and interpretation of studies) to scientists in multiple disciplines
• Take a leadership role in multi-disciplinary teams
• Build and maintain relationships with customer groups
• Drive the adoption of statistical best practice within Research & Development
• Lead initiatives within a statistics team to develop internal capability
• Develop junior staff through mentoring or supervision
• Interest in continually learning and applying new statistical skills

Motivated to continue learning new statistical skills and to solve challenging problems in drug discovery

Practical understanding of at least some of the following statistics topics:

• Experimental design, mixed models, Bayesian methods, linear and nonlinear regression, repeated measures, machine learning algorithms, analysis of high-dimensional data
• Genomics, molecular biology, disease biology, and cellular, tissue, and animal models

Why GSK?

At GSK, we have delivered unprecedented change over the past four years - to improve R&D productivity and performance, transform commercial execution and to , strengthen our leadership and reshape our organisation. Now, we're getting ready to deliver the most significant change to our company in over 20 years. We're on track to separate and create two ambitious new companies in 2022: A new GSK with a leading portfolio of vaccines, specialty and general medicines, and R&D based on the science of the immune system and genetics; and a new world-leading consumer healthcare company built on brands and innovation and delivering better everyday health.

With new ambition comes new purpose. GSK will unite science, talent, and technology to get ahead of disease together. We'll be a company where outstanding people thrive, delivering strong, sustainable returns to our shareholders and with the power to improve the health of more than 2.5 billion people over the next 10 years .

All of this depends on our people and our culture. A culture that is ambitious for patients - so we deliver what matters better and faster; where we are all accountable for our impact and supported to succeed; and where we do the right thing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way.

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.

Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email

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