Job Description
As a Senior Process Data Scientist (Business Analyst), you will utilize scientific principles to provide data and analytical support for effective data co-ordination and data evaluation services pertaining to process monitoring and modeling of biological drugs.
You will be responsible for:
* Gathering requirements from users, evaluating existing systems, and providing guidance on the utilization of potential new data architecture, infrastructure, systems, and tools.
* Interfacing and collaborating with various departments across the business (Manufacturing, Quality Assurance, IT, Automation, etc.) to support the efficient transfer, acquisition, and use of data.
* Analyzing data sources, data infrastructure and architecture, collating data, and preparing documentation in support of testing and validation activities.
Your day-to-day tasks may include:
* Running quality system events pertaining to data integrity and data management such as investigations, CAPAs, and change controls.
* Troubleshooting computer systems and developing solutions to technical issues using critical thinking skills and process analysis to solve technical problems.
* Presenting on project status and team metrics during cross-functional meetings and to upper management.
* Generating design, requirements, and testing documentation in support of validation activities.
* Automating routine tasks and data solutions to continuously improve processes.
* Providing audit and regulatory submission support where applicable.
* Providing coaching and mentoring to junior members of the team.
To be successful in this role, you should have:
* Strong communication and interpersonal skills.
* Logical troubleshooting and problem-solving skills.
* A proven track record of communicating effectively with multiple partners.
* Strong mathematics and statistical skills, enabling you to analyze complex data.
* A strong ability to work in a fast-paced environment.
We are looking for candidates with a BS/BA or equivalent experience in mathematics/statistics, or related field, with 5+ years' experience; or an equivalent combination of education and experience.
Experience in a biopharmaceutical cGMP manufacturing setting is an advantage.