Elevatebio
Project Specialist I, Manufacturing
Waltham, Massachusetts, United States
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odds of building a lasting career here
Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
The bottom of this range ($25,000) is below the Level I prevailing wage of $85,446. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.
DOL prevailing wage, 2026-27 wage year · Architects, Except Landscape and Naval (17-1011) · Boston-Cambridge-Newton, MA-NH. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- The ideal candidate is detail-oriented, collaborative, and thrives in a fast-paced GMP manufacturing environment.
- Monitor resource availability and proactively adjust assignments to accommodate schedule changes, absences, and shifting priorities
- Serve as the primary scheduling point of contact within Manufacturing Technical Operations, ensuring alignment between production schedules and workforce availability
Responsibilities
- ElevateBio is looking for a Project Specialist I, Manufacturing that will support aspects of technical documentation, quality records, training, improvement projects and compliance for our manufacturing team and broader facility.
- Technical Documentation & Quality Support:
- Support of quality and technical documentation for manufacturing including Discrepancies and/or Deviations, CAPAs and Change Controls (including initiation, investigation, root cause analysis with cross functional groups and closure)
- Generate and revise Standard Operating Procedures (SOPs), batch records and other documents to support manufacturing processes and programs
- Support cleanroom operations including cleanroom maintenance and cleaning, and executed batch record and document review, as applicable
- Develop and maintain short-term manufacturing schedules, assigning technicians and resources to batch production activities across teams
- Partner with the Supply Chain Planner to align on batch schedules, translating production plans into daily and weekly technician assignments
- Maintain visibility into staffing levels across manufacturing teams, identifying gaps and escalating resource constraints as needed
- Own and maintain the manufacturing training matrix, ensuring technician training records are current and aligned with role requirements
- Support implementation of Operational Excellence programs driving efficiencies in execution and across the site
Requirements
- Bachelor's degree and at least 3 years of related experience, OR Master's degree with at least 1 years of related experience.
- Experience with manufacturing scheduling, resource planning, or workforce coordination
- Proficiency in Microsoft Office Suite, especially Excel, for scheduling, tracking, and reporting
- Familiarity with manufacturing/quality architectures and systems (e.g. SAP, electronic batch records, Veeva)
- Strong attention to detail, time management skills, and ability to work in a fast-paced environment
- Ability to stand, walk, bend and stretch for extended period of time
- Ability to lift 25-50 lbs
- Ability to push, pull, bend, kneel, twist and climb step ladders while wearing PPE.
Nice to have
- Experience in a Manufacturing, Technical Operations, or GMP environment.
- Experience in autologous gene or cell therapy is a plus.
- Experience working in autologous gene or cell therapy and within a contract manufacturing or client service organization is strongly preferred
Compensation
- $25k-$50k
Benefits
- Support delivery of technical and quality training to the manufacturing team and support supervisors in planning requalification and continuing education activities
This listing is sourced directly from Elevatebio's careers page and normalized into a canonical job model.