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Job Description
Primary job responsibilities include
Selecting appropriate algorithms, and infrastructure to best to 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 science algorithms
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 provide communicate with business and R&D stakeholders
Building and maintaining of knowledge on the data sources, the data quality and metadata
Recognition of the repeatable situation and suggesting the appropriate level of automation of analytics
Promotion of a culture of modeling 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
Qualifications and Education Minimum Requirement
MSc Degree or PhD in Computer Science, Biomedicine, Molecular Biology, Statistics, Physics, or other related field.
Desired Experience and Skills
Expert R and/or Python user
Experience with usingPyMOLor 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.
What we offer
Exciting work in a great team, global projects, international environment
Opportunity to learn and grow professionally within the company globally
Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases)
Pension and health insurance contributions
Internal reward system plus referral program
5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card
Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount programs
Up-to-date laptop and iPhone
Parking in the garage, showers, refreshments, massage chairs, library, music corner
Competitive salary, incentive pay, and many more
Current Contingent Workers apply
*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.
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