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Principal Statistician, Biomarker Statistics
Job ID:26054
Collegeville, Pennsylvania


Bringing Solutions That Make Business Better

Join Resolvit as a Principal Statistician, Biomarker Statistics and be part of a creative, forward-thinking team. Our success at deploying skilled, highly knowledgeable experts has landed us on the Inc. 5000 list of America’s fastest-growing companies four times – and we’re just getting started.

As the Principal Statistician, Biomarker Statistics, you will serve as an expert statistical scientist on the Oncology Biomarker Statistics team and will have the opportunity to contribute significantly and influence translational medicine efforts and companion diagnostic development. You will provide high quality and timely support for the various biomarker projects across all phases of the drug development pipeline in collaboration with other functional area scientists. You will also embrace and consider a wide variety of classical and modern data analytic methods and solutions. Additionally, you will:

  • 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

What You’ll Need to be Successful:

  • PhD in statistics or related field with 1 to 3 years of relevant pharmaceutical research experience with high-dimensional biomarker data from clinical trials OR Master’s degree 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
  • 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

Great Additional Skills:

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

We currently have more than 100 open career opportunities across the country, so be sure to mention the appropriate Job Code with any correspondence!

About Resolvit:

Resolvit is an international technology consulting firm with industry-leading customers in the financial services, high tech, manufacturing, retail, life sciences, and government sectors. Through its partnerships, Resolvit delivers highly impactful, innovative solutions across five core areas: Infrastructure Modernization, Application Development Services, Enterprise Data Management & Analytics, Knowledge & Content Management, and Strategic Staffing.