Location: Stevenage, United Kingdom or Collegeville, Pennsylvania
Schedule: Hybrid – mix of 2 to 3 days per week onsite and remote work.
Job group: Digital Data & Analytics
Why GSK?
We are a biopharma company focused on uniting science, technology, and talent to get ahead of disease together. By the end of the decade, we aim to positively impact the health of 2.5 billion people as a successful, growing company where people thrive.
Why Research Statistics?
We play a key role in GSK’s discovery of new medicines, collaborating with outstanding scientists to advance 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 classical statistical methods, Bayesian techniques and modern machine learning algorithms. Our work is varied and challenging with the common goal of advancing the science of human health.
Our team is part of GSK’s Biostatistics function – a large group of statisticians, programmers, and data scientists with the mission to put statistical thinking at the heart of R&D decision-making. Our work spans multiple disease areas and drug discovery technologies.
Our team members need good technical and communication skills and the ability to learn rapidly, to develop practical solutions, and to apply statistical techniques in creative ways. We hire smart, creative people who enjoy solving challenging problems and developing the skills and knowledge together to improve the health of millions of people.
In the Principal Statistician – Research Statistics you will provide hands-on statistical consulting for scientific research projects within GSK drug discovery.
Key Responsibilities:
This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following.
• Work with GSK scientists and leadership to answer pivotal drug discovery questions using statistical techniques.
• Pinpoint major scientific inquiries that can benefit from statistical approaches and propose implementation strategies.
• Employ established statistical techniques or innovate novel methodologies to tackle scientific issues.
• Examine relevant literature and perform simulations to assess the applicability of statistical methods to drug discovery challenges.
• Craft experiments with clear objectives that comprehensively address scientific queries.
• Conduct data analysis, ensuring dependable outcomes for critical decisions in drug discovery concerning targets, compounds, and technologies.
• Present statistical principles, designs, and results transparently and precisely to GSK researchers and management across all levels.
• Participate with fellow statisticians on departmental projects, such as enhancing specific technical abilities or consulting skills, and refining procedures.
• Collaborate with other in-house quantitative groups to achieve shared goals.
Why You?
Basic Qualifications & Skills:
We are looking for professionals with these required skills to achieve our goals:
• PhD in statistics, biostatistics, or a closely related field with formal statistical training
• Evidence of innovation and technical strength in advanced statistical modelling and/or modern machine learning techniques
• Experience writing code in R, SAS, or Python
Preferred Qualifications:
The following skills are not required, just preferred:
• Proficient in both spoken and written English, with the capability to clearly communicate both new and established statistical methods to peers in science
• Background in statistical consulting, working alongside researchers from various fields to devise practical solutions for scientific inquiries
• Skilled in choosing and employing statistical techniques effectively to address complex scientific questions
• Experience in both recognizing and innovating statistical methodologies to enhance study designs, analysis, and interpretation in science research
• Assess, endorse, and put into practice statistical tools tailored for scientific issues
• Encourage and guide non-statisticians towards embracing better statistical practices
• Quick and independent acquisition of new statistical knowledge and skills
• Driven by a continuous aspiration to expand statistical knowledge and tackle demanding projects within pharmaceutical research
• Familiarity with and application of statistical approaches in areas including but not limited to experimental design, mixed models, Bayesian statistics, linear and nonlinear regression, repeated measures, machine learning algorithms, and high-dimensional data analyses
• Knowledge of or interest in genetics, molecular biology, pathobiology, the process of drug discovery, as well as cellular, tissue-based, and animal model systems
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Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees.
Why GSK?
Uniting
Location: United States
Posted: Aug. 26, 2024, 1:48 a.m.
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