Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design ... Manage junior AI Research Scientists including having weekly 1:1s, and regular performance reviews ...
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Knowledge of statistics, SAS, Python, computer vision, data visualization tools * Excellent written ... its junior or entry level position the additional skills and project work are the only way a ...
Knowledge of statistics, SAS, Python, computer vision, data visualization tools * Excellent written ... its junior or entry level position the additional skills and project work are the only way a ...
AI Research Scientist III
Boston, MA · On-site
Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design ... Manage junior AI Research Scientists including having weekly 1:1s, and regular performance reviews ...
AI Research Scientist III
Boston, MA · On-site
Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design ... Manage junior AI Research Scientists including having weekly 1:1s, and regular performance reviews ...
Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design ... Manage junior AI Research Scientists including having weekly 1:1s, and regular performance reviews ...
Quick apply
Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design ... Manage junior AI Research Scientists including having weekly 1:1s, and regular performance reviews ...
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Junior Ai Machine Learning Python information
What are the key skills and qualifications needed to thrive as a Junior AI Machine Learning Python Engineer, and why are they important?
What does a Junior AI Machine Learning Python engineer do?
What are some typical projects or tasks a Junior AI/Machine Learning Python developer might work on in their first year?
What is the difference between Junior Ai Machine Learning Python vs Data Analyst?
| Aspect | Junior Ai Machine Learning Python | Data Analyst |
|---|---|---|
| Required Skills | Python, Machine Learning, AI concepts, data preprocessing | Excel, SQL, data visualization, basic statistical analysis |
| Certifications | Python certifications, AI/ML courses | Data analysis or visualization certifications |
| Work Environment | Tech companies, AI startups, research labs | Business, finance, marketing departments |
| Industry Usage | Developing AI models, machine learning pipelines | Interpreting data, generating reports, supporting decision-making |
Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.
Other
Posted 13 days ago
Job description
As an AI Research Scientist III at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods, and contributing to our active drug design campaigns by applying 1910's productionized AI/ML models.
Role Description
- Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design pipeline
- Independently apply productized AI and Machine Learning models to advance 1910's active drug design campaigns
- Independently write and publish peer reviewed scientific articles and mentor junior AI Researchers with their work
- Periodically presenting recent AI research at internal journal clubs
- Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions
- Keep up-to-date on cutting-edge research in the AI for drug discovery space
- Manage junior AI Research Scientists including having weekly 1:1s, and regular performance reviews
Qualifications
- PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.)
- 3+ years of relevant industry experience (AI, Drug Discovery, etc.)
- A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.)
- Industry experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.)
- Wet lab validation of at least 2 AI-driven drug discovery initiatives
- Demonstrated experience writing clean, maintainable, production-quality Python code, with examples available in code repositories
- Familiarity with MLOps and DevOps best practices
- Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc.)
- Strong track record of publications of individual research in top-tier AI journals and conferences
- Ability to demonstrate business value related to developed AI and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts
- Ability to work effectively in a fast-paced startup environment with evolving projects and shifting priorities driven by business needs
- Excellent written and verbal communication skills, including the ability to create clear documentation for roadmaps, proposals, and related materials
Nice to Haves
- Past experience managing junior AI Research Scientists
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