Principal Scientist, Biological Statistics (Drug Discovery)
at Springer Nature
Babraham, England, United Kingdom -
| Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
|---|---|---|---|---|---|---|---|
| Immediate | 21 Jun, 2024 | GBP 64400 Annual | 23 Mar, 2024 | N/A | Drug Discovery,Presentations,Data Analysis,Communication Skills,Matrix Management,Statistics,Experimental Design,High Throughput Screening,Bayesian Methods | No | No |
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Description:
PRINCIPAL SCIENTIST, BIOLOGICAL STATISTICS (DRUG DISCOVERY)
Employer
Cancer Research
Location
Babraham Research Campus, Cambridge or CRUK Scotland Institute of Cancer Research, Glasgow
Salary
Starting £57,400 - £64,400 depending on experience and negotiable
Closing date
18 May 2024
Discipline
Biomedicine
Job Type
Bioinformatician
Employment - Hours
Full time
Duration
Permanent
Qualification
PhD
Sector
Charity/NGO
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4,000 professionals, 0 days wasted, 1 incredible purpose. Together, we are beating cancer.
AT CANCER RESEARCH UK, WE EXIST TO BEAT CANCER.
We are professionals with purpose, beating cancer every day. But we need to go much further and much faster. That’s why we we’re looking for someone talented, someone determined, someone like you.
This is a new and exciting role within our Bioinformatics team based in Cambridge. In this role, you’ll set the vision and lead our biological statistics strategy, helping to identify and implement quantitative approaches to address key biological questions.
You’ll bring a wealth of knowledge of biological statistics to impact on drug discovery projects and represent the department across a broad range of therapeutic projects and cross-site initiatives.
WHAT SKILLS WILL I NEED?
- PhD in statistics, mathematics, data science or equivalent experience.
- Experience in biological statistics in a drug discovery environment.
- Proven scientific leadership, including through matrix management.
- Deep expertise in statistics and its role and application across drug discovery.
- Experience in data analysis, including large and complex datasets (e.g. high-throughput screening).
- Knowledge of Bayesian methods and statistical modelling, experimental design (including DOE).
- Programming experience with tools such as R, Python.
- Excellent communication skills, ability to describe complex science in an engaging and inclusive manner. Ability to influence multiple stakeholders and collaborate across projects and sites.
- A passion for promotion of scientific excellence, through external publication, presentations.
Responsibilities:
Please refer the Job description for details
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
Pharma / Biotech / Healthcare / Medical / R&D
Software Engineering
Phd
Proficient
1
Babraham, United Kingdom
