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Form of workJob Description
100% Remote option to go hybrid if close to site (ATO, AMA, ARI). EST preferred open to PST with minimum 4 hour overlap (8-6pm EST)
IDEAL QUALIFICATIONS:
• Bioprocessing/Pharmaceutical background preferred.
• Preference for candidates with previous experience in process development, clinical or commercial scale manufacturing, attribute sciences, QC, or early stage process development background looking to make a transition into a digital role
• Some experience with digital tools such as visualization software or packages (i.e. Spotfire/Tableau, SIMCA/SIMCA Online, DeltaV/Aveeva PI Data Historian).
• SQL, Python, or R language familiarity
• Experience with advanced statistical/analytical techniques
• Understanding business needs and developing Client yet practical solutions to meet those needs
• Ability to manage larger projects independently and break down high level projects into smaller incremental tasks
• Bachelor’s degree (mathematics, computer science, engineering, or other quantitative discipline)
IDEAL BEHAVIORS:
• Enjoys tackling challenges, working in teams, and excels at organizing information from numerous sources to provide well-constructed deliverables.
• High attention to detail and quality in work.
• Ability to collaborate well cross-functionally between departments and work closely with team members to accomplish larger tasks.
• Passion for proactively identifying opportunities and solutions through creative data analysis and modeling
• Intellectual curiosity with ability to learn new concepts/frameworks and technology rapidly as needs arise. Ability to ask clarifying questions when necessary
• Ability to problem solve, conceptualize solutions independently, escalate issues appropriately, and integrate feedback
• Ability to manage multiple, competing priorities simultaneously
WORK MAY INCLUDE, BUT IS NOT LIMITED TO THE FOLLOWING:
• Composing Process Performance and Product Quality Monitoring deliverables. Examples include collating data for Annual Product Reviews, ensuring Process Monitoring documentation is in place, completing APR deliverables accurately and on time, and ensuring control limit deliverables are completed timely and accurately.
• Ensuring data quality for Process Monitoring by confirming data is readily available in proper pipelines on a timely and accurate basis. This may include troubleshooting pipelines, adding conditions to process monitoring databases, or adding new sources to databases.
• Troubleshooting existing dashboards and data visualization products owned by the team including but not limited to Spotfire Reports, Smartsheet Dashboards, Knowledge Management Databases, SIMCA multivariate models, etc.
• Building existing capabilities into existing tools or build new digital tools through the use of applications such as SIMCA, Spotfire, Tableau, Smartsheet as required by internal customers
• Working with large quantities of data to enable general workflows such as data processing, cleaning, and labeling.
• Troubleshooting and testing data solutions to ensure desired data structures are robust and complete
• Collaborating with multiple stakeholders to understand project timelines, create a project plan, and execute the project deliverables in a timely fashion
• Developing, enhancing, automating, and managing analytics models
IDEAL QUALIFICATIONS:
• Bioprocessing/Pharmaceutical background preferred.
• Preference for candidates with previous experience in process development, clinical or commercial scale manufacturing, attribute sciences, QC, or early stage process development background looking to make a transition into a digital role
• Some experience with digital tools such as visualization software or packages (i.e. Spotfire/Tableau, SIMCA/SIMCA Online, DeltaV/Aveeva PI Data Historian).
• SQL, Python, or R language familiarity
• Experience with advanced statistical/analytical techniques
• Understanding business needs and developing Client yet practical solutions to meet those needs
• Ability to manage larger projects independently and break down high level projects into smaller incremental tasks
• Bachelor’s degree (mathematics, computer science, engineering, or other quantitative discipline)
IDEAL BEHAVIORS:
• Enjoys tackling challenges, working in teams, and excels at organizing information from numerous sources to provide well-constructed deliverables.
• High attention to detail and quality in work.
• Ability to collaborate well cross-functionally between departments and work closely with team members to accomplish larger tasks.
• Passion for proactively identifying opportunities and solutions through creative data analysis and modeling
• Intellectual curiosity with ability to learn new concepts/frameworks and technology rapidly as needs arise. Ability to ask clarifying questions when necessary
• Ability to problem solve, conceptualize solutions independently, escalate issues appropriately, and integrate feedback
• Ability to manage multiple, competing priorities simultaneously
WORK MAY INCLUDE, BUT IS NOT LIMITED TO THE FOLLOWING:
• Composing Process Performance and Product Quality Monitoring deliverables. Examples include collating data for Annual Product Reviews, ensuring Process Monitoring documentation is in place, completing APR deliverables accurately and on time, and ensuring control limit deliverables are completed timely and accurately.
• Ensuring data quality for Process Monitoring by confirming data is readily available in proper pipelines on a timely and accurate basis. This may include troubleshooting pipelines, adding conditions to process monitoring databases, or adding new sources to databases.
• Troubleshooting existing dashboards and data visualization products owned by the team including but not limited to Spotfire Reports, Smartsheet Dashboards, Knowledge Management Databases, SIMCA multivariate models, etc.
• Building existing capabilities into existing tools or build new digital tools through the use of applications such as SIMCA, Spotfire, Tableau, Smartsheet as required by internal customers
• Working with large quantities of data to enable general workflows such as data processing, cleaning, and labeling.
• Troubleshooting and testing data solutions to ensure desired data structures are robust and complete
• Collaborating with multiple stakeholders to understand project timelines, create a project plan, and execute the project deliverables in a timely fashion
• Developing, enhancing, automating, and managing analytics models
