5 дней назад
Grad Co-op — Computational Safety Modeling for Small Molecules
35 - 41$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Grad Co-op — Computational Safety Modeling for Small Molecules (Computational Chemistry/Bioinformatics): Developing computational approaches to assess the safety of small molecule drug candidates by curating scientific data, building predictive models, and integrating experimental evidence with an accent on machine learning, cheminformatics, and predictive toxicology. Focus on evaluating model applicability and uncertainty, creating reproducible analyses, collaborating with medicinal chemists and toxicologists, and supporting model retraining as new data becomes available.
Location: United States — Remote; students must be located in the United States for the duration of the program
Base pay: $35.34–$41.20 per hour
Company
is a biotechnology company developing and delivering medicines for serious diseases across oncology, inflammation, general medicine, and rare disease.
What you will do
- Curate and compare chemical structures, assay results, exposure information, and other internal and external scientific data.
- Develop and evaluate structural-alert, analogue-based read-across, machine-learning, and evidence-integration approaches.
- Assess model performance, applicability, uncertainty, context of use, and limitations for relevant compounds.
- Collaborate with computational scientists, medicinal chemists, and toxicologists to guide compound prioritization and follow-up experiments.
- Present results, deliver reproducible analyses and documented model prototypes, and recommend further development.
- Support mechanisms for retraining models as additional data becomes available.
Requirements
- Must be located in the United States for the duration of the internship program.
- Must be available for a part-time schedule.
- Must be at least 18 years old and hold a bachelor's degree from an accredited college or university.
- Must remain enrolled in an accredited graduate program and complete the first year of the relevant MBA, master's, PharmD, or Ph.D. program before the assignment begins.
- U.S. work authorization is required for the duration of the program; sponsorship for future full-time roles is not guaranteed.
- Preferred preparation includes Python, scientific data analysis, statistical modeling, machine learning, cheminformatics, predictive toxicology, reproducible workflows, and version control.
Culture & Benefits
- Collaborative, innovative, and science-based working environment.
- Opportunities to build a professional network during and beyond the program.
- Access to executive and social networking events and community volunteer projects.
- Inclusive culture that values diverse perspectives and supports professional and personal growth.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
11 дней назад
Machine Learning Engineer, Co-op (AI)
SandboxAQ
9 дней назад
Machine Learning Engineer (AI/BioSim)
134 400 - 252 000$
6 дней назад
Associate Director, Applied Data Science & Modelling (AI/ML)
Anthropic
8 дней назад
Research Engineer, Production Model Post Training (AI)
350 000 - 500 000$
6 дней назад
Scientific Solution Consultant (AI Protein Design)
12 дней назад
Director, Safety Data Science (AI)
164 000 - 282 900$