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Evening Machine Learning Engineer Biotech information
See salary details
$31.5K - $46.2K
1% of jobs
$46.2K - $61K
1% of jobs
$61K - $75.7K
5% of jobs
$75.7K - $90.4K
6% of jobs
$102.6K is the 25th percentile. Wages below this are outliers.
$90.4K - $105.1K
14% of jobs
$105.1K - $119.9K
14% of jobs
The median wage is $127.2K / yr.
$119.9K - $134.6K
18% of jobs
$134.6K - $149.3K
14% of jobs
$152.3K is the 75th percentile. Wages above this are outliers.
$149.3K - $164K
12% of jobs
$164K - $178.8K
11% of jobs
$178.8K - $193.5K
5% of jobs
$31.5K
$128.8K
$193.5K
How much do evening machine learning engineer biotech jobs pay per year?
What is the difference between Evening Machine Learning Engineer Biotech vs Evening Data Scientist Biotech?
| Aspect | Evening Machine Learning Engineer Biotech | Evening Data Scientist Biotech |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Computer Science, Data Science, or related fields; experience with ML frameworks | Bachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis tools |
| Work Environment | Developing ML models, coding, deploying algorithms in biotech settings | Analyzing datasets, creating reports, interpreting data in biotech companies |
| Employer & Industry Usage | Biotech firms, research labs, pharmaceutical companies | Biotech firms, research institutions, healthcare organizations |
While both roles involve working with data in biotech, the Evening Machine Learning Engineer Biotech focuses on developing and deploying machine learning models, whereas the Evening Data Scientist Biotech emphasizes data analysis and interpretation. Both roles require strong technical skills and are integral to biotech innovation, but they differ in daily tasks and technical focus.
Full-time
Posted 5 days ago
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