Requirements: English
Company: Precise Health SA
Region: palinges , Vaud
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Entrepreneurship | Life Sciences Consulting | Market Research | Business Development
About Us:
At Precise Health SA, we are pioneering personalized bacteriophage therapies using AI and microbiology to tackle bacterial infections. Our interdisciplinary team bridges innovative biotechnology solutions with machine learning, creating therapies that are precise, scalable, and impactful.
Role Description:
We are seeking a highly skilled Machine Learning Engineer to join our dynamic team. You will play a critical role at the intersection of bioinformatics and microbiology, translating biological insights into computational models that enhance our platform. This position requires close collaboration with both computational biologists and wet-lab scientists, making an understanding of biological processes and laboratory methodologies essential.
Responsibilities:
- Develop, optimize, and deploy machine learning models to analyze genomic and microbiological data.
- Integrate bioinformatics pipelines with laboratory processes to ensure seamless translation from computational predictions to experimental validation.
- Collaborate closely with microbiologists and bioinformaticians to interpret biological data, refine algorithms, and troubleshoot challenges.
- Evaluate and implement emerging ML technologies to maintain our platform''s competitive advantage.
- Document methodologies, results, and contribute to publications and reports.
Qualifications:
- MSc or PhD in Computer Science, Bioinformatics, Computational Biology, or a related discipline.
- Demonstrated expertise in machine learning algorithms, model development, and validation, particularly in bioinformatics applications.
- Familiarity with genomic data processing tools and microbiological wet-lab processes.
- Programming proficiency in Python and experience with ML frameworks.
- Strong analytical, problem-solving skills, and the ability to effectively communicate complex concepts to interdisciplinary teams.
Preferred Skills:
- Experience with bacteriophage biology or antimicrobial resistance projects.
- Hands-on experience in microbiological assays or laboratory methods.
- Familiarity with software engineering best practices, version control systems etc
Why Join Us?
- Engage in meaningful work that directly impacts patient outcomes.
- Be part of a vibrant, interdisciplinary, and collaborative team.
- Opportunity to contribute to innovative healthcare solutions in an evolving biotech startup environment.
Application Process: Interested applicants, please submit your resume directly on LinkedIn
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