Job Description
Requirements
Essential Qualifications:
- MSc in Computational Science or Machine Learning with a focus on Computational Biology (PhD preferred).
- Proven experience in biological data curation, organization, and management.
- Deep understanding of computational biology tools, methodologies, and best practices.
- Solid foundation in machine learning techniques and tools, with an emphasis on real-world applications.
- Proficient in Python programming.
- Familiarity with data processing pipelines and cloud-based computing environments.
- Strong communication skills with the ability to convey complex scientific concepts clearly.
- A customer-focused mindset with an interest in building impactful products.
- Genuine passion for the intersection of AI and Biology.
Preferred Qualifications:
- Industry experience in biotechnology or pharmaceuticals, especially in internal or client-facing roles.
- Contributions to open-source projects in computational biology.
- Familiarity with advanced ML techniques such as Transformer architectures, Structured State-Space Models, or Bayesian Optimization.
- Track record of scientific publications in machine learning or computational biology.
- Experience in therapeutic or diagnostic development program
Customer Facing Machine Learning Scientist employer: Skills Alliance
As a leading innovator in the biotechnology sector, we pride ourselves on fostering a collaborative and inclusive work environment that empowers our employees to thrive. Our commitment to professional development is evident through tailored training programmes and opportunities for advancement, ensuring that our team members can grow alongside cutting-edge projects at the intersection of AI and biology. Located in a vibrant tech hub, we offer a dynamic workplace culture that values creativity and encourages impactful contributions to meaningful scientific advancements.
Contact Detail:
Skills Alliance Recruiting Team