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Data Analyst, Associate

Cambridge, MA
  • Expired: over a month ago. Applications are no longer accepted.
Job Description
Our Client requires all staff, staff augmentation external workers, and certain other external workers, in the United States and Puerto Rico to be vaccinated from COVID 19 as a condition of assignment at Our Client. In accordance with applicable law, Our Client will provide reasonable accommodations to staff augmentation external workers who qualify on the basis of a medical reason or a sincerely held religious belief, practice, or observance. Such accommodation may not pose an undue hardship to Our Client, its operations, or its staff."

100% Remote option to go hybrid. EST preferred open to PST with 4 hour overlap (8-6pm EST)
- Looking for process engineer working in biotech that wants to try analyst work. Needs to have the context of process engineer.

IDEAL - Process background, lab work process development, visualization tools or packages, such as Spotfire/Tableau Simca, SQL, YOE 2 in process dev. Biotech tech background companies like Biogen, Moderna, Pfizer, smaller companies are fine too. Enjoys tackling challenges, working in teams, and excels at organizing information from numerous sources to provide well-constructed deliverables. Some experience with Bioprocessing/Biologics preferred alongside an undergraduate degree or work experience/internship in a relevant field. Applicant needs to be available to work sometime between EST and PST time zones.

Attribute science or QC as well. Looking to transition into digital role.

Bachelor's degree (mathematics, computer science, engineering, or other quantitative discipline)

Work may include, but is not limited to, the following:
Large scale data migration between databases
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
Creating striking visualizations to aid in data interpretation and usage
Demonstrating modeling and visualization approaches as part of proof-of-concept projects

Preferred Skills:
Familiarity with basic bioprocessing concepts and principles
Experience with data visualization tools or packages, such as Spotfire/Tableau
Basic understanding of SQL language
Experience with advanced statistical/analytical techniques
Proficiency in at least one statistical software package
Knowledge of multiple programming/scripting languages such as Python, Java, C++, MATLAB, or R
Understanding business needs and developing novel yet practical solutions to meet those needs

Preferred Traits:
Passion for proactively identifying opportunities and solutions through creative data analysis and modeling
Intellectual curiosity with ability to learn new concepts/frameworks, algorithms and technology rapidly as needs arise
Ability to problem solve, conceptualize solutions independently, escalate issues appropriately, and integrate feedback
Ability to manage multiple, competing priorities simultaneously
Ability to deliver work and provide positive leadership in a fast-paced, multi-project team-oriented environment.
Ability to work in highly collaborative, cross-functional environments

Bachelor's degree (mathematics, computer science, engineering, or other quantitative discipline)
Top 3 Must Have Skill Sets:
Basic understanding of Bioprocessing/Biomanufacturing
Basic SQL/Data Vis/Statistics skills
Collaboration/Project Management/Good communication skills
Day to Day Responsibilities:
Work with our team to learn how to complete data mapping within our internal systems, develop and troubleshoot visualizations, dashboards, and models, and construct quality data deliverables. This person will also support day-to-day activities of other staff members as required.

Cross functionally communication is very important multiple sites (RI, PR, ATO, and Singapore) mainly email communication so no impact on hours to support those time zones.
Employee Value Proposition:
Group is great at collaboration, supportive of learning, will work to develop tech skills, digitally savvy and flexible.
Possible Extension:
Red Flags:
Someone who does not work well in teams,
someone who has no bioprocessing experience Lack of cross functional ability no collaboration resume.
Interview Process:
Virtual interviews via Webex, can start interviewing as soon as enough candidates are available. Work week (M-F), between 8AM EST - 6PM EST can be accommodated.
Phone Manager 1:1, Then webex 2 people in another session



Cambridge, MA
02138 USA



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