Posted Date: Sep 24 2021
Statistics and Data Science Innovation Hub: Head of Predictive Modelling, Statistics and Data Science
US Hiring Locations: Collegeville, PA, Rockville, MD and Waltham, MA
UK Hiring Locations: Stevenage, GSK House (Brentford)
EU Hiring Locations: Wavre, Belgium; Siena, Italy; Amsterdam, The Netherlands
Remote Working: A variety of flexible working arrangements are available in US, UK and EU
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. 700 permanent people in the US, UK, Europe and India. Our work ensures that robust quantitative examination and statistical analysis is at the heart of R&D decision-making and enables scientists to make timely, data-driven choices about which potential new medicines and vaccines are most promising to add value for patients – ultimately making the development process more efficient and maximising success. We are investing in growing our cutting-edge statistical innovation and data science capabilities by creating the new Statistics & Data Science Innovation Hub (SDS-IH) led by Prof Nicky Best. SDS-IH’s mission is to build capability and deliver data-driven approaches to decision making across the organization. Achieving this vision requires us to adapt to new ways of working and rebalance skills across Biostatistics. The SDS-IH team itself is a model for our vision, consisting of Statisticians and Data Scientists with a variety of different skills and backgrounds, working together to develop novel quantitative methodologies, systems and tools.
Why join The Statistics & Data Science Innovation Hub?
As Head of Predictive Modelling, you will lead the Predictive Modelling capability pillar within SDS-IH. Your remit is to build and inspire a team of talented statisticians and data scientists with deep expertise in modern statistical and machine learning methods, whose focus is to deliver statistically rigorous and robust predictive modelling solutions to enable data-informed decision-making across R&D.
Core Responsibilities
- Devise and implement a strategy to build data pipelines from multiple sources (e.g. biological, pre-clinical, clinical, epidemiological, EHRs) and use cutting edge statistical and machine learning methods to develop predictive models and build platforms for complex simulation of in-silico trials to support data-informed decision-making across the R&D portfolio
- Create and foster partnerships with other quantitative groups to build a collaborative network of predictive modelling expertise across R&D and ensure that statistically rigorous and robust methodology is understood and consistently applied to build prediction models that inform decision-making across all functions in R&D
- Devise and implement strategies for developing and embedding higher levels of technical expertise in predictive modelling within Biostatistics
- Proactively seek opportunities to interact with external scientific groups (industry, academia, regulators) and vendors through presentations, publications and collaborations, in order to drive innovation and uptake of predictive analytics within GSK and across the pharmaceutical industry
- Participate on an ad hoc basis in internal review committees and governance boards as SME
- Ad-hoc consultancy to senior R&D and GSK leaders on predictive modelling analysis and interpretation issues
- Member of the SDS-IH Leadership Team with accountability for developing and driving the Predictive Modelling pillar strategy and ensuring alignment of priorities with the overall SDS-IH group and wider Biostatistics organisation.
Essential Requirements
- PhD in statistics, mathematics, data science, computer science or related quantitative discipline.
- International reputation in advanced statistical modelling (including Bayesian methods) and modern machine learning techniques as evidenced by e.g. publications in major scientific journals, conferences or other scientific proceedings, active participation in relevant industry consortia.
- Considerable leadership experience and proven record of using quantitative skills to influence decision making and deliver value/business impact
- Demonstrable evidence of learning agility and unbiased approach to solving modelling and prediction problems using appropriate tools and methods
- Thorough working knowledge of R and/or Python, and experience of using MCMC software packages (e.g. JAGS, Stan, BUGS) or writing MCMC code
- Superb written and verbal communication skills and demonstrated ability to effectively communicate complex technical and statistical ideas to non-specialists
Why GSK?
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. This special purpose – along with our goal of being one of the world’s most innovative, best performing and trusted healthcare companies – helps us attract some of the best and brightest minds in the world.
We take pride in providing access to all and continually focus on our opportunity and obligation to do more to improve inclusion and diversity: for our people inside GSK; in the way we do business; and in the communities where we operate.
We want our company to be a place where diversity of people and thought is valued everywhere and where we’re all able to be ourselves and feel a sense of belonging. An inclusive organization where we all feel valued, engaged and supported, knowing that our work makes an important contribution to our mission. Reinforced by our clear values and expectations, it is part of our DNA. Together we achieve extraordinary things for our patients and consumers, who rely on us each and every day.
We offer competitive salaries, benefits, training and development, and are committed to the continuous development of your technical skills and competencies.
#StatsDataSciences2021
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 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 0808 234 4391, or send an email ukdiversity.recruitment@gsk.com
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.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK’s commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.
Solliciteren naar
.
Vacature
en
Salaris.
adres