Full-Time

Biostatistician or Senior Statistician

Confirmed live in the last 24 hours

MSD

MSD

Junior, Mid, Senior

London, UK

Hybrid work arrangement.

Category
Public Health
Biology Lab & Research
Biology & Biotech
Required Skills
SAS
R
Data Analysis

You match the following MSD's candidate preferences

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Degree
Experience
Requirements
  • PhD or equivalent degree in statistics/biostatistics or a related discipline for Senior Biostatistician, or Master`s or bachelor’s with relevant experience
  • Master`s or bachelor’s degree in statistics/biostatistics or a related discipline for Biostatistician
  • Fluency in English (oral and written)
  • Good knowledge of biostatistical methodologies and experimental design, including meta-analyses and time-to-event methodologies
  • Proven knowledge of statistical and data processing software e.g. SAS and/or R
  • Demonstrates strong interest in statistical research activities and in application of novel methods to clinical development
  • Team oriented, strong collaboration skills and ability to work effectively across cultures
  • Ability to learn, be proactive and motivated, and consistently focus on details and execution
Responsibilities
  • Provide statistical support to projects in the BARDS HTA Statistics group, including HTA submissions
  • Contribute to the design and development of scientific tools for HTA evaluations
  • Execute on ongoing HTA evaluations, including analysis and interpretation of HTA results
  • Collaborate with Statistical Programming to implement methodologies and ensure high quality deliverables for HTA submissions
  • Contribute to the preparation of the written reports to effectively communicate results of HTA evaluations to the Value & Implementation Observational Research (VIOR) and our company’s subsidiary teams
  • May evaluate appropriateness of available software for planned analyses and ascertains needs for potential program development of novel statistical methodology
  • May be involved in research activities for innovative statistical methods and applications in HTA activities
Desired Qualifications
  • Understanding of data management and clinical concepts applied to drug development within the pharmaceutical industry
  • Strong knowledge of computer systems and clinical databases systems in a statistical environment
  • Experience in CDISC data standards (SDTM, ADAM)
  • Understanding of biology of disease and drug development
  • Publication record in peer reviewed statistical/medical journals

Company Stage

N/A

Total Funding

N/A

Headquarters

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Founded

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