Statistician Intern (Residence Based, Residence Based, US)

Residence Based, United States Type not listed
Biostatistics & Data Science Intern/Fellow/Postdoc
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Bayer 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

Statistician Intern

As a Statistician Intern within the Pharmaceuticals Statistics US department at Bayer, you will gain a direct view into research and development and witness how clinical trials influence decisions during the drug development process. This role provides a unique opportunity to work closely with senior-level Statisticians in a fast-paced environment, contributing to the analysis of clinical trial data and supporting highly knowledgeable trial and project Statisticians. At the end of your internship, you will present your research project to both the Statistics department and a non-statistical audience, enhancing your experience and exposure within the field.

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Statistician Intern, are to:

Work on a research project with senior-level Statisticians in a dynamic environment;

Become involved in the analysis of clinical trial data and programming;

Provide support to trial Statisticians and Project Statisticians;

Present your research project to the Statistics department and a non-statistical audience at the end of the internship.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Pursuing a Master’s or PhD degree in Statistics, Biostatistics, or related fields from an accredited college/university;

Must be motivated and well-organized;

Strong analytical and quantitative abilities with excellent written and verbal communication skills;

Strong proficiency in Microsoft Word, Excel, and PowerPoint;

Good working knowledge of SAS, R, and/or Python;

Ability to participate within a multi-disciplinary team as well as act autonomously, as appropriate.

ADDITIONAL REQUIREMENTS

The successful candidate must be a high performer interested in the interactions between science and policy, eager to work with dynamic people and contribute to a changing environment;

Candidates must be available for an assignment of up to three months at Bayer’s Whippany, New Jersey, site from mid-May to mid-August 2027 (different options are available);

Hybrid/home-based assignments will also be considered;

For non-US citizens, as required by current immigration law, it is the student’s responsibility to provide the appropriate documentation showing proof of eligibility to work and earn compensation in the United States.

Employees can expect to be paid a salary of approximately between $20.75 to $58.50. Additional compensation may include a bonus or commission (if relevant).  Additional benefits may include health care, vision, dental, retirement, PTO, sick leave, etc (if relevant).  This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least March 19, 2027

YOUR APPLICATION       Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.

To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.       Bayer is an E-Verify Employer.               Location: United States : Residence Based : Residence Based || United States : New Jersey : Whippany      Division: Pharmaceuticals     Reference Code: 881601          Contact Us     Email: hrop_usa@bayer.com  ]]>

Job details

Seniority
Intern/Fellow/Postdoc
Function
Biostatistics & Data Science
Therapeutic area
Not listed
Location
Residence Based, United States
Employment type
Not listed

How this role compares

Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.

We currently track 11 comparable Intern/Fellow/Postdoc Biostatistics & Data Science roles across 4 biopharma companies.

11Comparable roles tracked
10Currently active
4Companies hiring similar roles
2Countries represented

Salary context

2 of 11 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 · Advisor - Statistics · Lilly $151,500/yr – $244,200/yr
Highest disclosed · Advisor - Computational Statistician · Lilly $151,500/yr – $244,200/yr
Peer group range $197,850 – $197,850 (median $197,850)

Where these roles are based

Top locations among the 11 comparable roles

United States10
India1

Seniority mix

11 of 11 peers have a known seniority level

Intern/Fellow/Postdoc9
Associate2

Therapeutic area mix

0 of 11 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

No peers with a known therapeutic area yet.

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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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Notify me about similar jobs

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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Function Therapeutic area Adjacent seniority Country
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.