Manufacturing Digital and AI Intern
About this opportunity
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.
Job details
How this role compares
Computed from every other active Manufacturing & CMC role in our database, not just this employer's listings.
We currently track 339 comparable Intern/Fellow/Postdoc Manufacturing & CMC roles across 56 biopharma companies.
Salary context
70 of 339 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 339 comparable roles
+ 19 more countries
Seniority mix
339 of 339 peers have a known seniority level
Therapeutic area mix
6 of 339 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.