Statistician (m/f/d)
Statistician (m/f/d)
Jobdescription
For our client, an international pharma company in Basel, we are looking for a motivated Statistician to support the synthetic molecule development and commercial manufacturing.
The perfect candidate: has solid training in statistics, e.g. familiar with Design of Experiments, Statistical Analysis, data visualization. Additionally, the person has a PhD in Statistics with first professional experiences or owns a masters degree and some working experience. Also, the candidate should have great collaboration and communication skills to work in a cross functional team, as well as independently thinking, researching, delivering and interpreting statistical design and analysis results.
General Information:
* Start date: ASAP
* Latest Start Date: September 2024
* Planned duration: 6-12 months
* Extension: possible
* Workplace: Basel
* Workload: 100%
* Remote/Home Office: Hybrid
* Team: ca. 10 people
* Working hours: Standard with some flexibility due to global teams
Tasks & Responsibilities:
Must Haves:
Nice to Have:
For our client, an international pharma company in Basel, we are looking for a motivated Statistician to support the synthetic molecule development and commercial manufacturing.
The perfect candidate: has solid training in statistics, e.g. familiar with Design of Experiments, Statistical Analysis, data visualization. Additionally, the person has a PhD in Statistics with first professional experiences or owns a masters degree and some working experience. Also, the candidate should have great collaboration and communication skills to work in a cross functional team, as well as independently thinking, researching, delivering and interpreting statistical design and analysis results.
General Information:
* Start date: ASAP
* Latest Start Date: September 2024
* Planned duration: 6-12 months
* Extension: possible
* Workplace: Basel
* Workload: 100%
* Remote/Home Office: Hybrid
* Team: ca. 10 people
* Working hours: Standard with some flexibility due to global teams
Tasks & Responsibilities:
- Support synthetic molecule development pipeline work, e.g. process characterization, process validation, process transfer, assay validation, assay transfer, shelf life study, etc.
- Support synthetic molecule commercial manufacturing, e.g. process monitoring, process troubleshooting and optimization, etc.
- Collaborate with other statisticians on method development and improvement.
Must Haves:
- Master's or Ph.D. in Statistics, Biostatistics, Mathematics, Pharmaceutical Sciences, or a closely related field
- Statistical Analysis: Advanced proficiency in statistical methods and software (e.g., R and JMP) for the design of experiments and data analysis (e.g. linear mixed models)
- Design of Experiments (DOE): Extensive experience in designing experiments, e.g., in the context of process characterization, optimization, and process validation
- Data Interpretation: Expertise in analyzing and interpreting complex datasets to derive meaningful insights and support decision-making
- Collaborative Skills: Proven ability to work effectively in multidisciplinary teams, collaborating with professionals in chemistry, pharmaceutical R&D, assay development and regulatory affairs
- Communication Skills: Excellent written and verbal communication skills in English for clear and targeted presentation of findings, writing technical reports, and liaising with stakeholders
- Consulting and Teaching Skills: Ability to effectively communicate complex statistical concepts to professionals without statistical background. Ability to ask the right questions and to promote statistical thinking. Ability to translate from business problems to statistical framework
Nice to Have:
- Pharmaceutical Technical Development: Deep understanding of pharmaceutical sciences with a focus on synthetic molecule development
- Regulatory Compliance: Strong familiarity with regulatory guidelines and standards in the pharmaceutical industry (e.g., FDA, EMA) to ensure compliance
- Problem-Solving: Strong analytical and problem-solving skills to address challenges in experimental design and data analysis
- Project Management: Ability to manage multiple projects simultaneously, ensuring timely completion and adherence to quality standards
- Attention-to-Detail: High level of attention to detail and critical thinking to ensure accuracy and reliability of all aspects of work
- Self-motivated and having the ability to work independently
- Ability to keep abreast of new developments in statistics, data science, and drug development
- Passion for continuous improvement and learning
Marta Bartkowiak
About the company
