Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The candidate will work with senior leadership and partner projects gaining broad internal and ...
Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The candidate will work with senior leadership and partner projects gaining broad internal and ...
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Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The candidate will work with senior leadership and partner projects gaining broad internal and ...
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Senior Meta Machine Learning information
What is the difference between Senior Meta Machine Learning vs Data Scientist?
| Aspect | Senior Meta Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Master's or PhD in CS, ML, or related fields; experience with meta-learning frameworks | Bachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis |
| Work Environment | Research-focused teams developing advanced ML models, often in AI companies | Data analysis, modeling, and visualization across various industries |
| Employer & Industry Usage | Tech firms, AI startups, research institutions | Finance, healthcare, e-commerce, tech companies |
While both roles involve machine learning expertise, Senior Meta Machine Learning specialists focus on developing advanced meta-learning algorithms, often in research settings, whereas Data Scientists apply data analysis and modeling techniques across diverse industries. The roles share similar educational backgrounds but differ in focus and application.
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Job description
Our mission is to deliver the undeliverable.
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Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug delivery. The research intern will be in a fast-paced start-up environment playing a crucial technical role in generating cell culture and transfection data. The candidate will work with senior leadership and partner projects gaining broad internal and external exposure.
Essential Functions and Duties
- Design and implement complex data engineering processes to support innovative data science modeling
- Collaborate with chemistry and biology research teams to design data pipelines, analyze experimental data and implement experimentally actionable feed-back loops
- Apply and deploy established and novel statistical and machine learning algorithms to explore, understand and optimize properties of the vast delivery vehicle space, both in silico and experimentally
- Develop robust, scalable workflows and maintain security controls to protect sensitive data across cloud and on-premise environments
- Coordinate with cross-functional teams to deploy models and communicate results and with a focus on computational efficiency, performance, and usability
- Design of repositories, CI/CD pipelines and integration tests for ML workflows
Qualifications
MS in Computer Science, Data Science, Statistics, Computational Biology, Computational Chemistry, or a related discipline with 2 years hands-on machine learning experience.Â
Knowledge, Skills, and Abilities
- Track record developing statistical and machine learning models for complex and unconventional real-life problems
- Strong mathematical and coding skills
- Proficiency in Python, Â MLOps (W&B, MLFlow) and ML packages (scikit-learn, PyTorch, JAX), along with SQL and AWS.
- Familiarity with ML workflow best practices.
- Interest in applications of machine learning in biotechnology
- Strong communication skills, both written and verbal
- Experience doing research and working with interdisciplinary teams
Additional Preferred Experience (desired, but not essential):
- Experience in an industry setting related to biotechnology, chemicals, or materials manufacturing
- Experience with cheminformatics, computational chemistry, computational biology databases, data structures, material science and modelling package
Computer and modeling work required, this is an on-site position based in the Seaport of Boston, MA.
About Nanite
Sourced by ZipRecruiter
Industry
Biotechnology research and development
Company size
11 - 50 Employees
Headquarters location
Boston, MA, US
Year founded
2020