Katalyst CRO
Posted 17 days agoVerified live 2d ago
Scientist - Machine Learning AI
Brief overview
Remote
MastersOr in progress
3+ yrsMinimum
32 H-1B approvalsDept. of Labor
9 green cardsCertified filings
Machine LearningStatistical ModelingProtein Structure DataPhenotypic Data ModelingMultimodal Data IntegrationPythonScientific ComputingMachine-Learning Libraries
About the company
Katalyst CROkatalysthls.com
Katalyst CRO | Advancing Healthcare & Life Sciences with Expert Research & Regulatory Solutions Katalyst Healthcare & Life Sciences (Katalyst CRO) is a Global Contract Research and Knowledge Process Outsourcing Organization (CRO) dedicated to driving innovation in research, regulatory compliance, and quality excellence for pharmaceutical, biotechnology, and medical device companies worldwide.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.32H-1B approved
89%approval rate
3new H-1B hires
9PERM certified
$240,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202319
20249
20254
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20236
20242
20259
20262
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20235
20241
20253
Top sponsored roles
VALIDATION ENGINEERQUALITY ENGINEERCLINICAL DATA ANALYSTPRODUCT DEVELOPMENT ENGINEERCLINICAL DATA MANAGER
Sponsored employees from
India
Job description
Summary
Katalyst CRO is seeking a Scientist specializing in machine learning and artificial intelligence. The role applies machine-learning and statistical methods to protein structure, phenotypic, and multimodal biological datasets, while developing reproducible workflows, integrating biological data, and communicating findings to technical and non-technical stakeholders.
Responsibilities
- Develop and apply machine-learning and statistical approaches to protein structure, phenotypic, and other multimodal biological datasets
- Curate, harmonize, and quality-control structured and unstructured data from internal and external sources
- Build reproducible computational workflows for feature generation, model training, validation, and performance evaluation
- Integrate protein structural representations with phenotypic and other biological data to generate testable hypotheses and prioritize follow-up analyses
- Implement clear, maintainable analysis code and contribute to shared repositories and technical documentation
- Communicate methods, findings, and recommendations clearly to technical and non-technical stakeholders
Skills
- Advanced degree (M.S. or Ph.D.) in computational biology, bioinformatics, computational chemistry, biophysics, or a related field
- Hands-on experience applying machine learning to biological, chemical, or biomedical data
- Experience working with protein structure data and/or structure-derived features in a research or drug discovery setting
- Experience integrating or modeling phenotypic and multimodal datasets
- Strong Python programming skills and experience with scientific computing and machine-learning libraries
- Ability to independently execute defined project work and deliver high-quality outputs on an agreed timeline
Qualifications
Must Haves
- Advanced degree (M.S. or Ph.D.) in computational biology, bioinformatics, computational chemistry, biophysics, or a related field
- Hands-on experience applying machine learning to biological, chemical, or biomedical data
- Experience working with protein structure data and/or structure-derived features in a research or drug discovery setting
- Experience integrating or modeling phenotypic and multimodal datasets
- Strong Python programming skills and experience with scientific computing and machine-learning libraries
- Ability to independently execute defined project work and deliver high-quality outputs on an agreed timeline
Benefits
- Remote work arrangement
