Xpheno
Location
Bangalore | India
Job description
Generates new insights into our R&D Portfolio Data thus enabling optimal steering of R&D Resources and prioritization of R&D projects within the R&D Pipeline.
Works collaboratively on a global level with interdisciplinary scientists, IT and engineering professionals across the R&D and IT organization as well as external partners to support and enable data driven decisions for R&D.
Supports R&D to deliver high quality data for Pipeline decision making
YOUR TASKS AND RESPONSIBILITIES:
Compiles R&D Project and Portfolio related data from various sources and data types, prepares and curates the data where needed and visualizes the results as a basis for decisions.
Develops sustainable, consumable, accurate, and impactful data reporting solutions.
Autonomously prepares and presents compelling, validated analysis results to all levels of organization, including peers, management, and internal customers to drive both strategic and operational changes in business.
Ensures high quality master and reference data, strives for standardization in that area and supports the R&D Organization with data maintenance in our project and portfolio tools • Assesses the needs of automation in data stewardship and data analytics projects, design and implement sustainable automation solutions.
Partners with other team members in Data Analytics related use-cases leading them from analysis of requirements to final implementation.
Consults and skills up the organization with Data Analytics knowledge • Effectively networks with the Data Science Community, builds cross-functional relationships and stays abreast of emerging technologies in that area
WHO YOU ARE:
Bachelor's degree with 5+ years of experience or Master's degree with 2+ years' experience or PhD in Statistics, Bioinformatics, Data Science, Computational Biology or related discipline or a comparable applied computational science or life sciences degree.
Good experience in the following tools required for this position: Python or R + Tableau or Spotfire + SQL.
Demonstrates strong proficiency in data analytics methods (e.g. data preparation, data curation, data visualization) building automated data science workflows and data analytics solutions using Python, Tableau or Spotfire.
Strong proficiency in relational Database technologies (e.g. Oracle) and query languages, (SQL) required, Intermediate Proficiency in Cloud Database Technologies, e.g. Google Big Query.
Experience in automating dataflows and processes, using e.g. the Microsoft Power Platform, Knime, Tableau Prep etc.
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