Boehringer Ingelheim Posted September 29, 2026

Biorelevant Testing and Predictive Modeling, Material and Analytical Sciences Co-Op (Ridgefield, CT, United States, Connecticut)

Ridgefield, Connecticut, United States Type not listed
Manufacturing & CMC Intern/Fellow/Postdoc
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Boehringer Ingelheim is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

Description

Boehringer Ingelheim is currently seeking a talented and innovative Individual to join our Material and Analytical Sciences department located at our Ridgefield facility. As a Spring Co-Op, you will be working in a dynamic, collaborative environment by comparing PION and t-TIM datasets and apply predictive modeling approaches that support early biopharmaceutic decisions.

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 opportunity 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, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

Duties & Responsibilities

•    Develop an understanding of dissolution and t-TIM data and their relevance to drug-product biopharmaceutics and early development decisions.

•    Compile, organize, harmonize, and perform quality checks on PION, t-TIM, formulation, and available clinical data.

•    Analyze trends and correlations across datasets to evaluate relationships among in vitro results, formulation attributes, and available clinical outcomes.

•    Apply statistical analysis, data visualization, and predictive modeling approaches under scientific guidance.

•    Summarize findings and present recommendations.

Requirements

Must be a current undergraduate, graduate or advanced degree student in good academic standing pursuing a degree in Mechanical/ Chemical / Material Engineering or pharmaceutical sciences background or a related discipline.

Student must be enrolled at an accredited college or university for the duration of the co-op.

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 co-op.

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: 

•    Basic understanding of biopharmaceutics, drug dissolution, formulation development, or gastrointestinal modeling including relevant characterization techniques is preferred

•    Experience collecting, organizing, and performing quality checks on scientific data.

•    Familiarity with statistical analysis and visualization using tools such as Python, R, JMP, MATLAB, or Excel.

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 to the level of degree program in which an applicant is actively enrolled. For an overview of our benefits please click here

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Job details

Seniority
Intern/Fellow/Postdoc
Function
Manufacturing & CMC
Therapeutic area
Not listed
Location
Ridgefield, Connecticut, United States
Employment type
Not listed

How this role compares

Computed from every other active Manufacturing & CMC role in our database, not just this employer's listings.

We currently track 300 comparable Intern/Fellow/Postdoc Manufacturing & CMC roles across 49 biopharma companies.

300Comparable roles tracked
275Currently active
49Companies hiring similar roles
19Countries represented

Salary context

71 of 300 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.

This roleSubject Not listed on this posting
Lowest disclosed · Production Associate · Merck KGaA $17/hr – $27/hr (≈ $35,360–$56,160/yr)
Highest disclosed · Advisor - Agentic Automation, Frontier AI · Lilly $168,000/yr – $268,400/yr
Peer group range $45,760 – $218,200 (median $82,050)

Where these roles are based

Top locations among the 300 comparable roles

United States208
Germany19
France17
Belgium11
Switzerland8
Singapore7

+ 13 more countries

Seniority mix

300 of 300 peers have a known seniority level

Associate154
Intern/Fellow/Postdoc146

Therapeutic area mix

5 of 300 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Vaccines & Infectious Disease5

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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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Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.

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.

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Unmatched or unknown dimensions score exactly the same: 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.