Skills this job asks for
PythonSupply chainMachine learningLLMsSQLPower BI
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Sponsorship verdict
Sponsorship unlikely
Something in the evidence works against sponsorship. Read the reasons before you invest time.
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Employer is on a government sponsor recordThe US Department of Labor certified 99 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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Existing work authorization requiredFrom the posting’s own wording.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 99 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
Before you apply
Review before applying
Existing work authorization required — the posting’s wording suggests candidates who already hold work rights. Read the original listing carefully.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
About the role
We are looking for rising sophomores, juniors, and seniors studying Computer Science, Biomedical Engineering, Chemical Engineering or a related field for a 12-week internship role at our site in Gaithersburg, MD from May 24, 2027 to August 13, 2027.
Position Description:
• Analyze clinical manufacturing process data and develop Python-based prototypes for predictive analytics, anomaly detection, and decision support to improve operational efficiency and process understanding.
• Support digital manufacturing projects, including electronic batch records, digital supply chain, digital technology transfer, and digital twins, by mapping processes, equipment, data sources, and interfaces to define data requirements and integration needs.
• Assess robotics and intelligent automation opportunities, such as automated material handling, robotic sampling, machine vision, and laboratory automation, by developing use cases and conducting technology assessments and feasibility studies.
• Collaborate with manufacturing, engineering, automation, data science, and digital technology teams to identify high-value digital opportunities and develop business cases, requirements, and implementation roadmaps.
Position Requirements:
• Rising sophomores, juniors, and seniors studying Computer Science, Biomedical Engineering, Chemical Engineering or a related field.
• Introductory exposure to machine learning, generative AI, or large language models through classes or small projects is preferred.
• Basic Python programming skills and experience analyzing or visualizing data through coursework, academic research, or personal projects are beneficial.
• Familiarity with tools such as Pandas, NumPy, scikit-learn, SQL, or Power BI is a plus.
• Coursework or project experience involving digital twins, process simulation, robotics, computer vision, or industrial automation is a plus.
• An interest in biopharmaceutical manufacturing and a willingness to learn how digital technologies support manufacturing operations are beneficial.
• Experience collaborating on student projects, researching technical topics, and clearly presenting findings is beneficial.
• Candidates must have an expected graduation date after August 2027.
• US Work Authorization is required at time of application.
• This role will not be granting CPT support.
• Ability to report onsite to Gaithersburg, MD site 5 days per week. This role will not provide relocation assistance.
• Compensation: $37 - $39 per hour.
#EarlyTalent
Date Posted
05-Nov-2026
Closing Date
02-Dec-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
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