Senior Statistician

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Janssen Research & Development is recruiting a Senior Statistician for the Translational Medicine and Early Development Statistics (TMEDS) group to be located in Leiden, NL or Beerse, BE. The scope of the TMEDS group focuses on research conducted during the discovery, development and early clinical phase of drug development, before the compound advances to larger confirmatory clinical trials.

Within the department of Translational Medicine and Early Development Statistics (TMEDS) at Janssen R&D, we are currently seeking an enthusiastic biostatistician with a broad knowledge of statistical modelling to strengthen our statistical team in the EU supporting drug discovery in Infectious Diseases and Vaccines (IDV). You will support bio-assay qualification and validation experiments, translational biomarker studies, and in vitro and in vivo experiments supporting the vaccines portfolio. You will contribute to making informed decisions in drug discovery through your analytical approach, analysis skills, experimental design suggestions, and through appropriate reporting and communication of data evidence for research and development needs at Janssen. You will collaborate within cross-functional teams and with external contractors. Participation in scientific activities in the local professional community can be expected.

Location: Leiden, Netherlands, remote work options may be considered on a case-by-case basis and if approved by the Company.

Requirements:

• The Statistician’s primary responsibilities include collaborating with researchers on experimental design, data analysis, and the interpretation and clear communication of results.
• Good knowledge of biostatistics is crucial to this role, as is the application of statistics in decision-making and the eagerness to learn the underlying science and business.
• The successful candidate will serve as initial consultation contact for new projects in the drug discovery portfolio, maintains and grows customer base, and builds loyal relationships with customers.
• You will play a crucial role in bridging the gap from preclinical experiments to first-in-human trials and the use of preclinical information to establish a safe first dose in humans.
• You will assume independent, professional responsibility for all phases of a project request from beginning through completion with minimal supervision needed.
• Ability to manage multiple projects.
• Documentation of projects in sufficient detail for reproducibility.
• A prime candidate enjoys building long-term collaborative relationships with research investigators, is proactive and communicates and promotes the use of good statistical practices and software to ensure data integrity and reproducibility.
• The position would involve ~10% EU travelling.

Qualifications

We would love to hear from YOU, if you have:

Must haves: to be considered for this role, please ensure the minimum requirements are evident on your resume.

• PhD in Statistics or related field with minimum 0-2 years relevant experience, or Master’s in Statistics or related field with commensurate years of relevant experience.
• Excellent analytical skills
• Excellent written and oral communication skills
• Fluency in English.
• Proficiency in SAS or R programming
• Knowledge of experimental design, (non)-linear mixed models, multivariate analyses, Bayesian statistics, modelling and/or expertise in modern visualization methods.
• Eagerness to continuously learn about the relevant underlying science and to expand statistical and computing expertise.
• Ability to work autonomously and within a team environment as well as strong leadership skills.