Posted: 05/02/2024 Job Number: 39100

Job Description

Engineer

Top 3 Must Have Skill Sets:

Bioprocessing/Pharmaceutical background. Preference for candidates with previous experience in process development, clinical or commercial scale manufacturing
Basic data science skills
Experience leading or supporting process optimization/ continuous improvement projects
Previous history in independently managing projects.

Red Flags:

Job hopping
zero data science skills
Pure data science but not biotech background
No independent leadership/ purely task based
lack of strong technical writing & communication skills

Ideal Qualifications:

Bioprocessing/Pharmaceutical background preferred.
Preference for candidates with previous experience in process development, clinical or commercial scale manufacturing with basic data science skills or an experience in a business analyst or project management role.
Experience leading or supporting process optimization/ continuous improvement projects
Experience understanding business needs and developing novel yet practical solutions to meet those needs.
Some understanding of regulatory and cGMP requirements.
Some experience developing reports and dashboards in data visualization software (e.g. Tableau, Spotfire) or other digital tools (e.g. Smartsheet, Sharepoint).
Some experience in programming/database compatible languages (e.g. R, Python, SQL),?data cleaning/preprocessing software (e.g. Alteryx, Tableau Prep), BI tools/visualization software (e.g. Tableau, Spotfire, Power BI) and IDE tools (e.g. VS Code, Databricks, R Studio) to manipulate data and draw insights from various data sets.
Ability to manage larger projects independently, break down high level projects into smaller incremental tasks, and elevate relevant issues to project lead and line management.
Excellent written and verbal communication.
Able to adapt to changing business needs and operational requirements.
Experience with issue resolution and ability to influence across support organizations.
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.
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.

Responsibilities:

Optimization of business processes related to pharmaceutical manufacturing, such as technology transfer.
Collaborate with partner organizations to develop and deploy digital business process solutions to facilitate knowledge management and business process execution.
Work with various datasets to create, deploy, and maintain interactive visualizations for business data and process data.
Support strategy development to identify and deploy a new centralized knowledge management solution to administer key cross-functional business processes.?
Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for process design improvements for our products.
Troubleshooting existing dashboards and data visualization products owned by the team including but not limited to Spotfire Reports, Smartsheet Dashboards, Knowledge Management Databases, etc.
Building existing capabilities into existing tools or build new digital tools through the use of applications such as 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.

Basic Qualifications:

Master degree

Bachelor degree and 2 years of experience

Associate degree and 6 years of experience

High school diploma / GED and 8 years of experience

Pay range is $33 - $38 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

THE PROMISES WE MAKE:

At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey.

Meet Your Recruiter

Krista McIlwaine

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