Verista, Inc.

Verista, Inc.

6584 - Chemist

Indianapolis, IN · Mid

Sponsorship not specified$69k-$103kDetected 11 days ago
Data AnalysisGMPMedical DevicesExperimental DesignCommunicationPublic SpeakingOrganizational Skills

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odds of building a lasting career here

47Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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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.
  • This role will focus on evaluating drug-container interactions, supporting molecule characterization, and performing specialized laboratory measurements.

Responsibilities

  • Support analytical method development and testing activities related to Container Closure Integrity Testing (CCIT).
  • Perform wet chemistry experiments, sample preparation, analytical testing, and laboratory investigations.
  • Perform Break Loose Glide Force (BLGF) testing to assess syringe and container system performance.
  • Support pharmaceutical molecule characterization and container closure compatibility studies.
  • Develop, execute, and document laboratory protocols, experiments, and technical reports.
  • Analyze, integrate, and interpret experimental data to identify trends, troubleshoot issues, and support technical recommendations.
  • Prepare and deliver clear technical presentations summarizing laboratory results and study findings.
  • Collaborate with scientists, engineers, and cross-functional teams to support pharmaceutical development and packaging-related initiatives.
  • Maintain accurate laboratory documentation and ensure compliance with applicable safety, quality, and regulatory standards.
  • We empower and support our colleagues

Requirements

  • Bachelor's degree in Chemistry, Analytical Chemistry, Pharmaceutical Sciences, Chemical Engineering, or a related scientific discipline.
  • Experience with analytical testing, experimental design, sample preparation, and laboratory instrumentation.
  • Ability to independently execute laboratory experiments, troubleshoot testing challenges, and interpret results.
  • Excellent written and verbal communication skills, including the ability to present complex scientific findings.

Nice to have

  • Experience with pharmaceutical packaging, container closure systems, or packaging engineering.
  • Knowledge of Lipid Nanoparticles (LNPs), surface adsorption, or drug-container interactions.
  • Familiarity with Container Closure Integrity Testing (CCIT) or related analytical method development.
  • Experience performing Interfacial Tension (IFT) measurements.
  • Experience with Break Loose Glide Force (BLGF) testing or syringe performance characterization.
  • Familiarity with pharmaceutical formulation development, material compatibility, or surface characterization.
  • Experience working in a GMP or regulated pharmaceutical laboratory environment.
  • Verista is an equal opportunity employer.

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.