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Statistics Leader, Biomarker Statistics
Job ID:26157
Waltham, Massachusetts


Bringing Solutions That Make Business Better

We are seeking a Statistics Leader, Biomarker Statistics to 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 Statistics Leader, Biomarker Statistics, 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 embrace and consider a wide variety of classical and modern data analytic methods and solutions. You will also propose and implement optimal and fit-for-purpose statistical and computational solutions for various biomarker studies. Additionally, you will:

  • 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 at least 5 years of relevant pharmaceutical research experience with high-dimensional biomarker data from all phases of clinical trials OR a Master’s degree in statistics or related field with at least 10 years of relevant experience
  • Strong statistical foundation with a wide breadth of expertise in classical and modern statistical and machine learning methods
  • Demonstrated 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, Python, and Perl, with demonstrated ability to develop and automate analysis scripts and tools for broader use
  • Excellent interpersonal and communication skills, with a proven track record of building and maintaining strong working relationships
  • A demonstrated ability to explain novel and standard methods to scientific and clinical colleagues

Great Additional Skills:

  • Background in biological sciences, bioinformatics, or computational biology
  • Strong track record of methodological and applied research, conference presentations, and publications
  • Experience applying Bayesian statistical methods in biomarker applications
  • Prior experience in oncology research projects and drug development
  • Programming experience in other languages such as SAS
  • Good understanding of drug development processes and strategies, with proven ability to apply innovative statistical thinking to meet project and business objectives
  • Experience providing statistical support for the development of companion diagnostics

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.