Verista, Inc.

Verista, Inc.

6549 - Lead Process Engineer

High Point, NC

Sponsorship not specified$96k-$182kDetected 17 days ago
Mechanical DesignGMP

Stay score

odds of building a lasting career here

54Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.

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

Level II · 2×
Level I$80,7461 entry
Level II$91,4582 entries
Level III$102,1703 entries
Level IV$112,8824 entries

$6,305 more — $102,170 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $102,170 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Materials Engineers" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Materials Engineers (17-2131) · Greensboro-High Point, NC. 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

  • Verista provides innovative solutions and services that empower informed decision-making and are the result of our significant investment in our people and our capabilities.
  • Our talented and dedicated professionals are committed to making an impact every day.
  • For US geography, the salary range for this position is shown below.

Responsibilities

  • Develop, optimize, and troubleshoot micronization and milling processes using equipment such as jet mills, Fitz Mills, and cryogenic milling systems.
  • Lead or support process development, characterization, scale-up, and technology transfer activities for R&D-stage API programs.
  • Design and execute studies to improve process understanding, robustness, reproducibility, and scalability.
  • Support development of processes suitable for future GMP manufacturing, process validation, PPQ, and commercialization.
  • Partner cross-functionally with R&D, Process Development, Manufacturing, Quality, Analytical, Validation, and other technical teams.
  • We empower and support our colleagues

Requirements

  • Significant hands-on experience with pharmaceutical API process development and/or manufacturing.
  • Demonstrated expertise in micronization and particle-size reduction.
  • Hands-on experience with jet milling, Fitz milling, cryogenic milling, or comparable pharmaceutical milling technologies.
  • Strong experience with Particle Size Distribution (PSD) characterization, analysis, and interpretation.
  • Experience supporting technology transfer, process validation, PPQ, and/or commercialization readiness.
  • Strong knowledge of GMP pharmaceutical manufacturing requirements.

Nice to have

  • advanced degree preferred.
  • Bachelor's degree in Chemical Engineering, Pharmaceutical Sciences, Chemistry, Mechanical Engineering, or a related scientific/engineering discipline
  • Competitive pay plus performance-based incentive programs

Compensation

  • For US geography, the salary range for this position is shown below.

Benefits

  • Company-paid Life, Short-Term, and Long-Term Disability Insurance.
  • Medical, Dental & Vision insurances
  • FSA, DCARE, Commuter Benefits
  • Health Savings Account
  • 401(k) Retirement Plan (Employer Matching benefit)
  • Paid Time Off (Rollover Option) and Holidays
  • Tuition Reimbursement
  • Paid Parental Leave and Bereavement

Company info

  • Our ability to grow is driven by world-class people who thrive in a team environment and share our mission to enable life sciences clients to improve lives.

This listing is sourced directly from Verista, Inc.'s careers page and normalized into a canonical job model.