7 дней назад
Scientist II - Bioinformatics (Maternity Cover)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Scientist II - Bioinformatics (Maternity Cover) (Statistics/Bioinformatics): Applying statistical analysis and experimental design to biological assay data and drug discovery programmes with an accent on rigorous modelling, interpretation, and workflow standardisation. Focus on developing visualisations, explaining complex analyses to non-experts, and collaborating with laboratory scientists and internal and external partners.
Location: Cambridge, UK. The role requires working from offices and laboratories at Babraham Research Campus; hybrid working is available according to business needs and role requirements.
Company
is a global biopharmaceutical company developing treatments for patients with serious and rare diseases.
What you will do
- Provide statistical rigour for experimental design and support decision-making in collaboration with laboratory scientists.
- Perform statistical analyses and interpret experimental results for drug discovery programmes.
- Explain methodologies, assumptions, and findings to non-expert audiences.
- Develop techniques for visualising and communicating complex statistical analyses.
- Collaborate with laboratory scientists to automate and standardise workflows for routine biological assays.
- Liaise with internal and external collaborators.
Requirements
- Postgraduate degree in statistics or mathematics.
- Strong understanding of statistics and experimental design across different data types.
- Experience with ANOVA, linear modelling, random effects, Bayesian models, and power analysis.
- Confident programming in Python or R for data science and statistics, including experience working in a team.
- Experience presenting findings to non-experts and using visualisation tools such as Matplotlib, Seaborn, or ggplot.
- Experience with Git version control, preferably including branching and merging.
Culture & Benefits
- Flexible work schedules with purposeful in-person collaboration.
- Competitive retirement benefits, global equity awards, and participation in the Employee Stock Purchase Plan.
- Career development through internal and external learning programmes, LinkedIn Learning, and role-specific training.
- AI-powered and on-demand learning tools.
- Hybrid-friendly technology and IT support for collaboration across locations and time zones.
- Global recognition programmes and Employee Resource Groups.
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