Sr. Manager Technology Excellence - Data Science

Key Skills

Data Analysis, Data Analytics, Data Modeling, Data science techniques, Databricks, ETL frameworks, Github, Java Programming, Large data sets, Leadership, Machine learning techniques, Neural Networks, PowerBI, Python Programming, R Programming, R-Shiny, SQL

Job Description

• To provide an innovation focus on digital and data analytics within Global Manufacturing Sciences Small Molecule & Drug Product Sciences (GMSci SM & DP)
• Responsible for developing manufacturing data & modeling systems to facilitate resolution of technical issues and enable forward-looking proactive approaches relating to the global manufacturing of commercial SM and DP (biologic, plasma and small molecule) products.
• Provide leadership in chemometric analysis within the GMSci SM & DP group.
• Create and implement innovative approaches to knowledge management, reporting, and business processes within GMSci SM & DP

How you will contribute:

• Leverage statistical and data science expertise and first principle concepts to analyze and model large data sets which include real-time process data and offline analytical data sets.
• Characterizations and interpretations of process and product attributes, parameters, and systems in support of internal and external batch and continuous manufacturing.
• Develop a chemometrics predictive modeling platform, exploratory data analysis, chemometrics model development, validation and model maintenance.
• Expertise with Python, R, SQL, Databricks, Github.
• Design and deployment of dashboard architecture, data acquisition, and ETL, including cross-platform interfaces using RShiny, Qlik, Power BI
• Effectively present and communicate critical issues and solutions to cross functional teams
• Identify opportunities based on data analytics to enable proactive process monitoring approaches

DIMENSIONS AND ASPECTS

• The candidate should have direct experience with mechanistic/hybrid modeling, machine learning, AI, neural networks, and other data processing & modeling techniques
• The candidate should have experience with programming in Python and/or R
• The candidate must have experience with applied statistics within the biopharmaceutical industry
• The candidate must have expertise in data processing/modeling applications including Databricks, Power BI, Qlik, RShiny, and/or other tools.
• The candidate must have experience with knowledge management systems and concepts such as Discoverant, Statistica, data lakes, LIMS, SLIM

Leadership

• Provides leadership in digital and data analytics within the GMSci SM & DP group

Decision-making and Autonomy

• Has decision authority on approaches used for modeling systems and analyzing data

Interaction

• Works with supervisor, manufacturing sites, and other global colleagues in life-cycle management, digital transformation/innovation, & data analytics projects. Align on best practices, identify, and execute impactful opportunities to leverage modeling and data analytics across Takeda’s SM and DP portfolio

Innovation

• Creates innovative approaches for incorporating digital transformation/innovation and data analytics solutions within GMSci SM & DP

Complexity

Leverage large, complex data sets to drive improved outcomes for GMSci SM & DP

What you bring to Takeda:

Education / Experience

• Degree Applied Mathematics, Informatics, Process Engineering, Chemical Engineering, Computer Science or other related discipline.
• PhD with minimum 5 years of experience working in a commercial technical environment
• Working knowledge of SM & DP manufacturing operations and product attributes
• Demonstrated Data Science experience within the Biopharma industry highly preferred.
• Experience in predictive model creation based on the current data and its associated projects supported by analytical techniques.
• Experience in proactive modeling – providing end to end data sets, conception through quality, etc.
• Demonstrated Systems knowledge - i.e. – Discoverant – LIMS - Data Bricks – Python / R
• Experience executing statistical analysis doing RCO supporting manufacturing.
• Ability to communicate complex ideas and projects across various audiences including Sr. Leadership.

Skills

• Must be self-motivated, have excellent interpersonal and communication skills, thrive in cross-functional teams, and be capable of analyzing and solving complex data sets and systems through innovative thought and experience.

Behaviors

• Strategic enterprise thinking, finding innovative ways to serve patients build reputation and trust
• Creating an environment that inspires and enables people
• Focusing on a few priorities to provide superior results
• Elevating capabilities for now and the future

What Takeda can offer you:

• Comprehensive Healthcare: Medical, Dental, and Vision
• Financial Planning & Stability: 401(k) with company match and Annual Retirement Contribution Plan
• Health & Wellness programs including onsite flu shots and health screenings
• Generous time off for vacation and the option to purchase additional vacation days
• Community Outreach Programs and company match of charitable contributions
• Family Planning Support
• Professional training and development opportunities
• Tuition reimbursement

Important Considerations:

At Takeda, our patients rely on us to deliver quality products. As a result, we must follow strict rules in our manufacturing facilities to ensure we are not endangering the quality of the product. In this role, you may:

• Work in a controlled environment requiring special gowning and wear protective clothing over the head, face, hands, feet and body. This may include additional hearing protection for loud areas.
• Need to remove all make-up, jewelry, contact lenses, nail polish and/or artificial fingernails while in the manufacturing environment.
• Work in a cold, wet environment.
• Work multiple shifts, including weekends, or be asked to work supplemental hours, as necessary.
• Work around chemicals such as alcohol, acids, buffers and Celite that may require respiratory protection.