Thermo Fisher Scientific

Staff Scientist, Statistician

Thermo Fisher Scientific
Life SciencesSingapore, SingaporeFull-time1 months ago

About the role

AI summarised

Staff Scientist, Statistician at Thermo Fisher Scientific, working in the Microarray Bioinformatics group to design experiments, develop statistical models, and build bioinformatics pipelines for genomics workflows. The role involves collaborating with algorithm developers, software engineers, and biologists to translate R&D concepts into production-ready solutions.

Life SciencesFull-timeGeneral

Key Responsibilities

  • Play a key role in experimental design, statistical modeling, and data analysis
  • Help shape robust, scalable pipelines for the analysis of genomic and other data to support research, product development, and data-driven decision-making
  • Serve as a technical lead in statistics and experimental design, collaborating closely with algorithm developers, software engineers, molecular biologists, and product managers
  • Contribute to and guide the development of bioinformatics pipelines
  • Develop statistical models and ensure solutions meet regulatory and quality standards
  • Translate R&D concepts into production-ready workflows
  • Guide projects from conception through delivery
  • Maintain high-quality technical documentation
  • Emphasis on experimental design and the statistical analysis and modeling of genomic measurements, manufacturing and QC inputs and outputs, and other data as required

Requirements

  • PhD with 4+ years, Master's with 6+ years, or Bachelor's with 8+ years of relevant experience
  • Degree in, or extensive practical experience with, Statistics or a closely related field
  • Strong background in statistical analysis and experimental design
  • Strong experience in statistical modeling is required
  • Proficiency in R or SAS
  • Familiarity with machine learning techniques is preferred
  • Experience with Python, shell scripting, Linux environments, and relational databases is preferred
  • Knowledge of software development best practices, including version control
  • Experience with cloud platforms (e.g., AWS) and containerization technologies
  • Experience developing, testing, and documenting solutions in regulated environments
  • Understanding of clinical and regulatory requirements for diagnostic applications
  • Strong analytical and problem-solving skills
  • Demonstrated ability to coordinate projects and collaborate across disciplines
  • Clear written and verbal communication skills
  • Detail-oriented, adaptable, and able to align with established team standards