20 дней назад
Undergraduate Co-op Student – R&D Biologics Discovery
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Undergraduate Co-op Student – R&D Biologics Discovery (biologics discovery and data analysis): Curating and analyzing scientific data for physiologically based pharmacokinetic and antibody-drug conjugate modeling projects with an accent on data quality, standardization, and scientific evidence. Focus on building traceable knowledge bases, harmonizing model inputs, comparing literature with model outputs, and communicating findings through reports and presentations.
Location: Burnaby, Canada; onsite research center
Company
is a biotechnology company developing and manufacturing medicines across oncology, inflammation, general medicine, and rare disease.
What you will do
- Support data curation and analysis for model-informed antibody discovery.
- Build and maintain a traceable historical knowledge base covering targets, molecules, model assumptions, simulation outputs, observed data, and model performance.
- Mine scientific literature and reference sources to create antibody-drug conjugate evidence and model-input datasets.
- Develop data dictionaries, standardized templates, unit-normalization rules, and source-provenance records.
- Perform quality checks, reconcile conflicting sources, document assumptions and data gaps, and prepare visual summaries.
- Compare literature and historical trends with existing models and communicate findings through reports and presentations.
Requirements
- Currently enrolled full-time in a bachelor's degree program at an accredited college or university, with a minimum 3.0 GPA or equivalent.
- At least one year of study completed before the co-op begins, with continued full-time enrollment after the assignment.
- At least 18 years old and not employed when the co-op starts.
- Preferred academic backgrounds include data science, computer science, bioinformatics, computational biology, biomedical engineering, pharmacology, systems biology, or a combined quantitative and life-science discipline.
- Experience with Excel and at least one data-analysis language or tool such as Python, R, SQL, or visualization software.
- Basic knowledge of biology, pharmacology, or biologics, plus the ability to read scientific literature and perform data quality checks.
Nice to have
- Previous co-op or internship experience.
- Ability to complete two consecutive four-month terms, totaling eight months.
- Strong attention to detail, communication, organization, record keeping, and time management skills.
Culture & Benefits
- Collaborative, innovative, and science-based work environment.
- Professional and scientific experience in biotechnology and drug discovery research.
- Opportunity to work alongside scientists and build industry contacts.
- Competitive pay and exposure to research and development processes.
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