Position Overview: Under limited direction, the Director of BioMADE Data Science is responsible for implementation, development and management of business information systems against strategy and to meet business objectives. This position will design multi-year IT solutions roadmaps in support of BioMADE information and data analytic needs. BioMADE’s efforts will generate TBs of data and this position will direct the activities needed to provide insight into critical areas of bioindustrial manufacturing processes that can be targeted for exploration and improvement. The Data Science director will lead a team of data scientists, to be hired. The Director of Data Science will work with the Director of Information Technology to identify these opportunities and design analyses that will result in actionable experimentation.
Position Duties/Responsibilities: 40% Principal responsibility for the BioMADE Data Science Center
Oversee and build organizational understanding of the data strategy for BioMADE. Develop and enhance strategies that integrate the scientific capabilities of BioMADE in support of its overall efforts
Responsible for designing and implementing data strategies and systems, leading, motivating and managing technical teams, and preparing and monitoring budgets.
Identify opportunities and design analyses that will result in actionable experimentation.
Develop software platforms for scaling data processing and analysis pipelines resulting from BioMADE internal system development and external client research endeavors.
Oversee the collection, storage, management, quality and protection of data.
Implement data privacy policies and comply with data protection regulations.
Build and execute on an approach to mature data sciences capability including assessments, process, value targeting and proposition, business case, technology solutions and proof of value.
Use oral and written communication skills to summarize, present results, and influence direction
Assist in development of multi-year IT solutions roadmaps in support of their information and data analytic needs.
40% Data Solutions
Manage and build analytics reporting platforms which include providing a shared but controlled reporting framework; as well as recommend and implement data visualization tools.
Establish key performance indicators and metrics that measure the effectiveness, value and success of delivered solutions. This includes quality of deliverables, quality of service, effective of change management, measure of adoption and captured efficiencies
Collaborate with leadership to develop a set of targeted value-added reports, dashboards, metrics, monitoring, and tools such as analytical operations, supply chain management, chemical development, and quality assurance
Apply data sciences techniques to build knowledge management, predictive analytics, and identifying trends in scientific and operational datasets.
Develop comprehensive data sciences strategy and framework that build out core data sciences capability and knowledge management platform. Partner with Computing Operations Director to establish a sustainable data governance process with defined roles and responsibilities.
Anticipate data needs from sources by iterating to find and fill gaps through collaboration with data providers and data consumers.
Work closely with business process owners, data stewards and IT to establish a data management process with the appropriate governance to sustain the accuracy and completeness of data.
Develop security and access models so that data is controlled but meets a broad range of needs and provides agility and velocity.
10% Outreach and membership collaboration
Provides expertise regarding the integration of applications across the BioMADE ecosystem, including integration with Member systems.
Manage, mentor, and evaluate BioMADE data science team, focusing on individual development and team cohesion
Recognize and reward staff achievement
Recommend training and professional development opportunities
Provide technical guidance to data scientists as they work to meet project deliverables and deadlines
BA/BS Degree in biology, biotechnology, data science, statistics, mathematics, or related field with at least 10 years of experience; or an advanced degree with at least 8 years of experience.
At least five years of experience in using statistical computer language to analyze data
At least two years of supervisory experience
Led or significantly contributed to the success of a multiuser scientific data science enterprise
Possesses both analytical aptitude and business acumen
Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders
Ability to work both independently and as part of a team
Curious, asks critical questions, comfortable with ambiguity, and results-oriented
Internal Number: 339091
About University of Minnesota, Twin Cities
The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.