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Scientist - Machine Learning AI

Katalyst CRO

Role overview

Qualifications

  • 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.
  • Strong Python programming skills and experience with scientific computing and machine-learning libraries.

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.
  • Communicate methods, findings, and recommendations clearly to technical and non-technical stakeholders.

Key facts

Hard skills

Other skills

  • Quality Control
  • Communication
  • Problem Solving

About the company

Katalyst CRO logo

Katalyst CRO

Contract Research Organizations (CRO)

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. With a strong foundation in cGxP & ICH-GCP-compliant clinical research, we offer fully customizable, end-to-end solutions, covering everything from pre-clinical studies to Phase I–IV clinical trials, regulatory affairs, and validation services—ensuring seamless drug and device development. Our Expertise Across the Product Lifecycle: 🔹 Pre-Clinical Research & Development – In-Vitro (Lab-Based) & In-Vivo (Animal) Studies 🔹 Clinical Research & Development – Trial Management, Data Management, Biostatistics, Medical Writing, Pharmacovigilance 🔹 Regulatory & Quality Compliance – cGxP (GMP, GLP, GCP) Validations, Regulatory Affairs, Process & System Validations 🔹 Strategic Human Resourcing – Connecting top-tier talent to life sciences and healthcare organizations With deep industry expertise and a flexible, client-centric approach, Katalyst CRO leverages an advise-build-operate model to de-risk and accelerate research programs. We help organizations achieve regulatory success, optimize quality systems, and bring life-changing therapies to market faster—ultimately improving global patient health and safety. 💡 Partner with Katalyst CRO to bring breakthrough therapies to market with confidence. 📩 Let’s connect and shape the future of healthcare together!

Company details

IndustryContract Research Organizations (CRO)
Company size51 - 200

Links

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Job description

Key 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.

Qualifications:

  • 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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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