Requirement for a computational biologist and data scientist to join our team. Our team enables protein data science, and impacts many business areas including manufacturing, diagnostics, and R&D. This is a multifaceted role that needs a combination of flexible communication, project planning, biology, and data science. In addition to this, your data science work will have the potential of having tangible impact on real world problems.

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Primary job responsibilities include:

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- Selecting appropriate algorithms and infrastructure to best solve business challenges
- Ability to formulate and lead data science projects, as well as define and execute appropriate benchmarks and in silico experiments
- Project ownership and quality assurance
- Technical mentorship to junior team members
- Driving the development of the SW code (quality, documented, and reusable) to execute data sciencealgorithms
- Communication and collaboration with diverse stakeholders
- Understanding of the business context of the decisions to be supported
- Use of R or Python to develop or implement models, benchmark and evaluate models, while leveraging both internal and public data sources
- Interpret the results and communicate with business and R&D stakeholders
- Building and maintaining of knowledge on the data sources, the data quality and metadata
- Recognition of repeatable situations and suggesting the appropriate level of automation of analytics
- Promotion of a culture of modelling and analytics as a differentiator and competitive advantage – an environment that places high value on embedding analytical tools within business processes
- Staying up to date with cutting edge methods and sharing this within the team and company

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Qualifications and Education Minimum Requirement:

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- MSc Degree or PhD in Computer Science, Biomedicine, Molecular Biology, Statistics, Physics, or another related field.

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Desired Experience and Skills:

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- Expert R and/or Python user
- Experience with using PyMOL or similar
- Deep understanding of biological processes
- Familiarity with cutting edge AI protein methods
- Extensive knowledge in one or more of the following areas: wet lab, bioinformatics, biology, structural biology, machine learning, software development
- Record of delivering successful data science products
- Passion for advanced analytics, good quality code and data science
- Experience with version controls systems such as git and collaboration tools
- Experience and/or ability to quickly learn new tools like Databricks
- Demonstrated communication and interpersonal skills, including the ability to make high-level presentations for senior executives
- Strong analytical and problem-solving skills and ability to work with incomplete or imperfect data, including ability to interpret and use the analytics results within the real business context
- Ability to work both independently and collaboratively within a globally dispersed team

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