Crystallization, Material and Analytical Sciences - Internship (Ridgefield, CT, United States, Connecticut)
About this opportunity
Description
Boehringer Ingelheim is currently seeking a talented and innovative Intern to join our Material and Analytical Sciences department located at our Ridgefield, CT facility. As an Intern, you will expand your scientific skills, gain experience using state-of-the-art equipment and insights on the drug development process.
As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunities for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees
Duties & Responsibilities
• Develop AI-based image analysis tools to extract quantitative particle size information from small scale crystallization experiments.
• Examine how crystallization conditions influence particle growth to inform process development.
• Develop experimental and digital workflows to enable data-driven isolation process design.
Requirements
• Must be a current undergraduate, graduate or advanced degree student in good academic standing
• Student must be enrolled at an accredited college or university for the duration of the internship
• Overall cumulative minimum GPA from last completed quarter/semester 3.0 GPA (on a 4.0 scale) preferred
• Major or minor in related field of internship
• Undergraduate students must have completed at least 12 credit hours at current college or university
• Graduate and advanced degree students must have completed at least 9 credit hours at current college or university
Desired Experience, Skills and Abilities:
• Ongoing graduate students (PhD/MS) in Chemistry, Chemical/Biomedical Engineering, Computer/Data Sciences.
• Understanding of crystallization principles, with a focus on population balance modeling
• Familiar with image analysis and machine learning workflows
• Have wet chemistry experience and able to handle chemical equipment and instruments
• Highly motivated to learn and able to conduct independent research
Eligibility Requirements:
• Must be legally authorized to work in the United States without restriction.
• Must be willing to take a drug test and post-offer physical (if required)
• Must be 18 years of age or older
Compensation Data
This position offers an hourly rate of $24 to $33 commensurate with the level of degree program in which an applicant is actively enrolled. We continuously review market data and may adjust salary ranges as needed in the future. Benefits include medical coverage, paid time off, paid holidays, disability and life insurance benefits, and other company-sponsored benefits. For additional information regarding our benefits and Total Rewards offerings, please click here .
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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 420 comparable Intern/Fellow/Postdoc Manufacturing & CMC roles across 58 biopharma companies.
Salary context
93 of 420 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 420 comparable roles
+ 20 more countries
Seniority mix
420 of 420 peers have a known seniority level
Therapeutic area mix
6 of 420 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.