AI/ML Scientist Company Overview: EpiVax leads the industry in immunogenicity assessment and sequence optimization for biologic therapeutics and vaccines. Utilizing proprietary methods for T cell ...
AI/ML Scientist Company Overview: EpiVax leads the industry in immunogenicity assessment and sequence optimization for biologic therapeutics and vaccines. Utilizing proprietary methods for T cell ...
AI/ML Scientist
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AI/ML Scientist Company Overview: EpiVax leads the industry in immunogenicity assessment and sequence optimization for biologic therapeutics and vaccines. Utilizing proprietary methods for T cell ...
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Providence, RI · On-site
AI/ML Scientist Company Overview: EpiVax leads the industry in immunogenicity assessment and sequence optimization for biologic therapeutics and vaccines. Utilizing proprietary methods for T cell ...
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Ml Scientist information
See salary details
$12.98 - $20.67
3% of jobs
$20.67 - $28.37
9% of jobs
$28.37 - $36.06
10% of jobs
$38.75 is the 25th percentile. Wages below this are outliers.
$36.06 - $43.75
11% of jobs
$43.75 - $51.44
12% of jobs
The median wage is $55.64 / hr.
$51.44 - $59.13
12% of jobs
$59.13 - $66.83
13% of jobs
$71.37 is the 75th percentile. Wages above this are outliers.
$66.83 - $74.52
12% of jobs
$74.52 - $82.21
10% of jobs
$82.21 - $89.90
6% of jobs
$89.90 - $97.60
4% of jobs
$12
$57
$97
How much do ml scientist jobs pay per hour?
What are the key skills and qualifications needed to thrive as an ML Scientist, and why are they important?
What is the difference between Ml Scientist vs Data Analyst?
| Aspect | ML Scientist | Data Analyst |
|---|---|---|
| Required Credentials | Master's or PhD in Computer Science, Data Science, or related fields; strong programming skills | Bachelor's degree in Statistics, Mathematics, or related fields; proficiency in data visualization tools |
| Work Environment | Research-focused, developing models, experimenting with algorithms | Data cleaning, reporting, and interpreting data for business insights |
| Industry Usage | Tech companies, research institutions, AI development | Business, marketing, finance, healthcare sectors |
ML Scientists focus on developing and refining machine learning models using advanced algorithms, often working in research or AI development environments. Data Analysts primarily interpret data to generate reports and insights for business decision-making. While both roles require strong analytical skills, ML Scientists typically have more technical credentials and work on complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization for practical applications.
What are ML Scientists?
What are some common challenges ML Scientists face when deploying models to production environments?

Job description
AI/ML Scientist
Company Overview:
EpiVax leads the industry in immunogenicity assessment and sequence optimization for biologic therapeutics and vaccines. Utilizing proprietary methods for T cell epitope identification and characterization, we employ a wide range of validated in silico and in vitro techniques. This comprehensive approach provides accurate and thorough insights into candidate immunogenicity, ensuring the effectiveness and safety of our clients' products.
Role Summary:
EpiVax is seeking an AI/ML Scientist to expand its technology team. The AI/ML Scientist will focus on analyzing large-scale biological datasets and on developing new models to advance our understanding of the adaptive immune system, as it relates to therapeutic development. The ideal candidate combines strong machine learning expertise with a background in immunology. This position reports directly to the CTO and has close working relationships with the technology, bioinformatics, and programming teams.
Key Responsibilities:
- Play a leading role in sustaining EpiVax's competitiveness in the field of Computational Immunology
- Design and implement cutting-edge machine learning and deep learning models to analyze large-scale immunological datasets
- Design and implement generative AI frameworks to advance and streamline the analysis of protein and peptide sequences
- Collaborate with the IT and programming teams to integrate new models into EpiVax's analysis platform
- Collaborate with the scientific team to translate findings into publications or presentations
- Maintain and improve professional knowledge of technological advancements in immunogenicity assessment, data manipulation, statistical analyses, machine learning, and AI
Qualifications:
- M.S. or Ph.D. (preferred) in Computational Biology, Data Science, Computer Science, Mathematics, or equivalent
- 2+ years of industry experience
- Demonstrated success applying AI/ML to biological datasets, ideally in immunology related contexts
- Experience with cloud computing and high-performance data infrastructure
Technical Skills:
- Technical background in AI/ML techniques, including generative AI and Large Language Models
- Strong understanding of statistical modeling, feature engineering, and model interpretability
- Intermediate understanding of immunology, biology, or biochemistry
- Proficiency in Python and R, and deep learning frameworks such as PyTorch or TensorFlow.
- Advanced expertise in T cell biology is preferred
- Proficiency with PL/SQL and Oracle databases is preferred
- Experience with structural biology modeling techniques is a plus
- Strong scientific curiosity and ability to translate biological questions into computational strategies
- Excellent communication skills to convey complex analyses across interdisciplinary teams
EpiVax is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status
About EpiVax
Sourced by ZipRecruiter
Industry
Biotechnology research and development
Company size
11 - 50 Employees
Headquarters location
Providence, RI, US
Year founded
1998