Principal Statistician, Biomarker Statistics - US or UK

Site Name: UK - Hertfordshire - Stevenage, USA - Massachusetts - Waltham, USA - Pennsylvania - Upper Providence
Posted Date: Sep 9 2019
Principal Statistician, Biomarker Statistics, Oncology

GSK's goal is to be one of the world's most innovative, best performing and trusted healthcare companies. We have 3 global businesses that research, develop and manufacture innovative pharmaceutical medicines, vaccines and consumer healthcare products. We are committed to widening access to our products, so more people can benefit, no matter where they live in the world or what they can afford to pay.
GSK has a thriving global community of statisticians across the three divisions of our company. Within the pharmaceutical division, our clinical statisticians are industry leading experts in data analysis and methodologic research. Our end-to-end project support model ensures that our statisticians collaborate across the entire range of drug development, from early clinical development, to registration and marketed product support.

Details

The successful candidate will serve as an expert statistical scientist in the Oncology Biomarker Statistics team and will have the opportunity to contribute significantly and influence the translational medicine efforts and companion diagnostic development.

Key Responsibilities include, but are not limited to:

  • Provide high quality and timely support for the various biomarker projects across all phases of drug development pipeline in collaboration with other functional area scientists.
  • Embrace and consider a wide variety of classical and modern data analytic methods and solutions. Propose and implement optimal and fit-for-purpose statistical and computational solutions for various biomarker studies.
  • Proactively give and receive feedback on the projects supported by all members of the Biomarker Statistics team to ensure high quality statistical contributions for biomarker needs in the drug development pipeline.
  • Develop and automate statistical analysis and visualization tools for scientists and other statisticians.
  • Stay current with ongoing external research and literature on statistical methods and biomarker applications, maintain proficiency in applying a variety of classical and modern statistical methods and machine learning algorithms, and be competent in explaining and justifying the methods used.
  • Develop new statistical methods and machine learning algorithms for research topics of greatest need and stay active in the external scientific community via conference presentations, publications and collaborations.


The ideal candidate will possess:

  • Demonstrated potential to work with a wide variety of biomarker data such as genomics, proteomics and imaging from various traditional and cutting-edge analytical platforms and expertise in applying sound computational and statistical approaches for processing and analyzing data from these platforms.
  • Keen interest in learning the scientific and technological elements of the projects.
  • Ability to proactively learn and contribute to the scientific discussions beyond the core statistical elements.
  • An analytical and inquisitive mind with a passion for problem solving.
  • Well-honed written and oral communication skills.
  • Ability to build effective and trusting relationships with members of interdisciplinary matrix teams.
  • Ability to build powerful networks within and outside the company and use these relationships to achieve support for the planning and implementation of innovative approaches.

Why You?
Requirements:

  • PhD in statistics or related field with preferably 1-3 years of relevant pharmaceutical research experience with high-dimensional biomarker data from clinical trials, or Masters in statistics or related field with at least 5 years of relevant experience and demonstrated potential of applying advanced statistical methods.
  • Strong statistical foundation with a wide breadth of interest and expertise in classical and modern statistical and machine learning methods.
  • Ability to apply innovative and fit-for-purpose statistical methods to the analysis of biomarker and high dimensional data from clinical trials.
  • Strong programming skills in R, with demonstrated potential to develop and automate analysis scripts and tools for broader use.
  • Excellent interpersonal and communication skills, with strong potential to build and maintaining strong working relationships.
  • Ability to explain complex statistical concepts in simple and practical terms to non-statisticians.

Preferred:

  • Background in biological sciences, computational biology and related fields.
  • Post-doctorate research experience in academic research centers.
  • Experience in applying Bayesian statistical methods in biomarker applications.
  • Exposure to oncology research projects and drug development.
  • Programming experience in other languages such as Python, Perl, SAS, etc.
  • Familiarity with drug development processes and strategies, with desire to apply innovative statistical thinking to meet project and business objectives.
Why GSK?:

At GSK, our mission is to improve the quality of human life by enabling people to do more, feel better and live longer. Our three world-leading businesses research and deliver innovative medicines, vaccines and consumer healthcare products. We need a talented and motivated workforce to deliver against our strategy. To achieve this, we strive to attract the best people and to create an environment that empowers and inspires.
  • Embrace and consider a wide variety of classical and modern data analytic methods and solutions. Propose and implement optimal and fit-for-purpose statistical and computational solutions for various biomarker studies.
  • Proactively give and receive feedback on the projects supported by all members of the Biomarker Statistics team to ensure high quality statistical contributions for biomarker needs in the drug development pipeline.
  • Develop and automate statistical analysis and visualization tools for scientists and other statisticians.
  • Stay current with ongoing external research and literature on statistical methods and biomarker applications, maintain proficiency in applying a variety of classical and modern statistical methods and machine learning algorithms, and be competent in explaining and justifying the methods used.
  • Develop new statistical methods and machine learning algorithms for research topics of greatest need and stay active in the external scientific community via conference presentations, publications and collaborations.


The ideal candidate will possess:

  • Demonstrated potential to work with a wide variety of biomarker data such as genomics, proteomics and imaging from various traditional and cutting-edge analytical platforms and expertise in applying sound computational and statistical approaches for processing and analyzing data from these platforms.
  • Keen interest in learning the scientific and technological elements of the projects.
  • Ability to proactively learn and contribute to the scientific discussions beyond the core statistical elements.
  • An analytical and inquisitive mind with a passion for problem solving.
  • Well-honed written and oral communication skills.
  • Ability to build effective and trusting relationships with members of interdisciplinary matrix teams.
  • Ability to build powerful networks within and outside the company and use these relationships to achieve support for the planning and implementation of innovative approaches.

Requirements:

  • PhD in statistics or related field with preferably 1+ years of relevant pharmaceutical research experience with high-dimensional biomarker data from clinical trials, or Masters in statistics or related field with at least 5 years of relevant experience and demonstrated potential of applying advanced statistical methods.
  • Strong statistical foundation with a wide breadth of interest and expertise in classical and modern statistical and machine learning methods.
  • Ability to apply innovative and fit-for-purpose statistical methods to the analysis of biomarker and high dimensional data from clinical trials.
  • Strong programming skills in R, with demonstrated potential to develop and automate analysis scripts and tools for broader use.
  • Excellent interpersonal and communication skills, with strong potential to build and maintaining strong working relationships.
  • Ability to explain complex statistical concepts in simple and practical terms to non-statisticians.

Preferred:

  • Background in biological sciences, computational biology and related fields.
  • Post-doctorate research experience in academic research centers.
  • Experience in applying Bayesian statistical methods in biomarker applications.
  • Exposure to oncology research projects and drug development.
  • Programming experience in other languages such as Python, Perl, SAS, etc.
  • Familiarity with drug development processes and strategies, with desire to apply innovative statistical thinking to meet project and business objectives.
Why GSK?:

At GSK, our mission is to improve the quality of human life by enabling people to do more, feel better and live longer. Our three world-leading businesses research and deliver innovative medicines, vaccines and consumer healthcare products. We need a talented and motivated workforce to deliver against our strategy. To achieve this, we strive to attract the best people and to create an environment that empowers and inspires.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK HR Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, 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.

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.


Back to top