Bristol Myers Squibb

Bristol Myers Squibb

2027 Summer Intern PhD Student - Drug Product Development Material Characterization

New Brunswick - NJ - US, USA · Intern · Internship

No sponsorshipDetected 41 min ago
Data AnalysisAccessibilityProject ManagementExcelProcess ImprovementResearchCommunicationCollaborationCritical Thinking

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odds of building a lasting career here

38Risky
Cap-exempt (no lottery)0
Sponsors this role85
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 44 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 41%

Of 27 labor certifications old enough to have been used, 16 expired without the employer filing the next step. Median time from filing to decision: 475 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Reported a layoff in this occupation

In a green-card filing decided 2026-01-29, this employer stated it had laid off workers in Biostatisticians (NJ) during the preceding six months. 3 such filings on record.Describes the period before that filing, not necessarily today. Unlike WARN notices this is occupation-specific and federal.

Files H-1B transfers

29 transfer filings in the last year, covering 29 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • Pay for this internship/co‑op position is provided in accordance with local market practices and applicable laws.
  • Pay may be offered as an hourly rate and/or monthly stipend, or other locally compliant structure.

Responsibilities

  • BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles.

Requirements

  • All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment.
  • Must have good oral/written communication skills and interpersonal skills, and be able to work in a team environment.
  • Excellent critical thinking skills and the ability to solve problems independently with minimal supervision.
  • Proficiency in data analysis software and tools.
  • Expertise related to powders, crystallography, powder flow, particle size analysis, and/or with tools such as spectroscopy, chemometrics, or related techniques for process optimization and monitoring.

Skills

  • Pay is determined based on objective factors such as academic level, relevant experience, skills, and work location.

Compensation

  • Compensation Overview:

Company info

  • If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com.

Equal opportunity

  • Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer.
  • Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Visa & Work Authorization

  • All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment.
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This listing is sourced directly from Bristol Myers Squibb's careers page and normalized into a canonical job model.