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Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Formulate and lead computational biology projects, including defining and executing appropriate benchmarks and in silico experiments
- Own project delivery and quality assurance
- Select appropriate algorithms, infrastructure, and benchmark to best solve challenges
- Drive the development of high-quality, well-documented, and reusable software code to execute data science algorithms
- Communicate and collaborate with diverse stakeholders
- Understand the business context of the decisions to be supported
- Use R or Python to develop, implement, benchmark, and evaluate models, leveraging both internal and public data sources
- Interpret results and communicate findings to business and R&D stakeholders
- Build and maintain knowledge of data sources, data quality, and metadata
- Recognize repeatable situations and recommend the appropriate level of analytics automation
- Promote a culture of modelling and analytics as a differentiator and competitive advantage, placing high value on embedding analytical tools within business processes
- Stay up to date with cutting-edge methods and share knowledge within the team and company.
Requirements
What you’ll need- PhD in Computer Science, Biomedicine, Molecular Biology, or related field. Alternative, MSc with at least 6 years of R&D experience.
- Deep understanding of biological processes
- Familiarity with cutting-edge AI protein methods
- Expert-level proficiency in R and/or Python
- Extensive knowledge in one or more of the following areas: wet lab techniques, bioinformatics, biology, structural biology, or machine learning
- Track record of delivering successful data science products
- Experience with version control systems such as Git and collaboration tools
- Experience with cloud computing or HPC
- Demonstrated communication and interpersonal skills, including the ability to deliver high-level presentations to senior executives
- Strong analytical and problem-solving skills, with the ability to work with incomplete or imperfect data and to interpret and apply analytics results within a real business context
- Ability to work both independently and collaboratively within a globally dispersed team.
Benefits
Comp & perks- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Computational BiologyData Science AlgorithmsBenchmarkingWet Lab TechniquesBioinformaticsMachine LearningVersion Control SystemsAI Protein MethodsData QualityAnalytics Automation
Soft Skills
Communication SkillsInterpersonal SkillsCollaborationPresentation SkillsProblem-Solving
