Lilly Posted September 22, 2026

Advisor - Project Statistician in Product Development

Indianapolis, Indiana, United States of America FULL_TIME
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Lilly 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

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work, but it’s work worth doing. If you’re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

Brand Description:

Lilly Research Laboratories (LRL) aims to discover and develop novel medicines that will benefit patients globally through a relentless focus on innovation and solutions to unmet needs.  We are looking for a highly qualified statistician to support a wide variety of projects in the product development (nonclinical) area of LRL in collaboration with biologists, chemists, formulators, and engineers.  In addition to strong technical skills, the role requires a strong desire and ability to take initiative, educate, and communicate the value of good statistical practices and concepts to a variety of fellow scientists.

Location: Indianapolis

Key Objectives/Deliverables:

The statistician will provide statistical support to scientists in Product Development with a mix of emphasis on a variety of molecule types, including new modalities.

Experimental design and analysis support for chemists/biologists and formulation scientists to develop & optimize chemical/biochemical processes as well as oral and parenteral formulations, in both batch and continuous manufacturing

Experimental design and analysis support for analytical chemists to develop, validate, and transfer analytical methods

Design and analysis of long-term and accelerated stability studies to inform development of clinical phase and commercial specifications and expiry dating

Development and implementation of novel methods to enable or advance drug development and manufacturing

Author sections of CMC (Chemistry, Manufacturing, and Controls) regulatory submission documents for successful product approval throughout the world

Collaborate with scientists and statisticians on applied research projects related to modeling, experimental design, process control, and/or multivariate analysis.

Communication

Collaborate with team members or external partners to communicate development study results with an emphasis on clarity and visualization

Assist with or be responsible for communicating via manuscript or oral presentation

Communicate results in one-on-one meetings with key customers or external partners and present at scientific meetings

Therapeutic/Scientific Area Knowledge

Develop understanding of scientific areas and disease states to enhance the level of customer focus and collaboration and be a strong scientific contributor.

Regulatory Compliance

Perform work in full compliance with assigned curricula and follow applicable Corporate, local, and departmental policies, procedures, processes, and training.

Training and Development

Develop and provide training courses for various statistical methods

Requirements: 

Ph.D. in Statistics, Biostatistics, Industrial Engineering, Operations Research, or related field

or

M.S. in Statistics, Biostatistics, Industrial Engineering, Operations Research, or related field with at least 8 years relevant experience

Additional Skills/Preferences: 

Additional work experience, especially in the application of statistics in the pharmaceutical development or manufacturing areas

Excellent English communication skills, especially related to technical/scientific issues

Proficient in R, Python, JMP and/or SAS programming language.

Proficient in acquiring and compiling data across sources

Expertise in DOE, Bayesian, machine learning, visualization

Interpersonal/teamwork and communications skills for effective customer collaboration

Strong teamwork and leadership skills

Self-management skills, creativity, and innovation

Demonstrated problem solving ability and strategic thinking

Degree in or strong desire to learn about chemistry, biology, engineering, computer science, and pharmaceutical science

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.

Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women’s Initiative for Leading at Lilly (WILL).

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.  The anticipated wage for this position is

$153,000 - $246,400

Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly

Job details

Seniority
Associate
Function
Biostatistics & Data Science
Therapeutic area
Not listed
Location
Indianapolis, Indiana, United States of America
Employment type
FULL_TIME

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 48 comparable Associate Biostatistics & Data Science roles across 16 biopharma companies.

48Comparable roles tracked
47Currently active
16Companies hiring similar roles
8Countries represented

Salary context

19 of 48 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 $153,000/yr – $246,400/yr
Lowest disclosed · 2027 Future Talent Program - Data Science - Intern · Merck $39,908/yr – $111,111/yr
Highest disclosed · Advisor - Computational Statistician · Lilly $151,500/yr – $244,200/yr
Peer group range $75,510 – $197,850 (median $159,000)

Where these roles are based

Top locations among the 48 comparable roles

United States41
Singapore1
India1
Germany1
Japan1
France1

+ 2 more countries

Seniority mix

48 of 48 peers have a known seniority level

Manager22
Intern/Fellow/Postdoc21
Associate5

Therapeutic area mix

5 of 48 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Immunology4
Neuroscience1

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.

60%similar
Lilly Indianapolis, Indiana, United States of America Associate
Same function Same seniority Same country
60%similar
Lilly Indianapolis, Indiana, United States of America Associate
Same function Same seniority Same country
60%similar
AbbVie Associate
Same function Same seniority Same country

Open in 2 locations

North Chicago, United StatesFlorham Park, United States
60%similar
AbbVie North Chicago, IL Associate
Same function Same seniority Same country
50%similar
Novartis Cambridge (USA), United States Intern/Fellow/Postdoc
Same function Adjacent seniority Same country
50%similar
AstraZeneca Boston, Massachusetts, United States of America Manager
Same function Adjacent seniority Same country

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.

60%
Advisor - Computational Statistician
Lilly · Indianapolis, Indiana, United States of America · Associate
Function Therapeutic area Seniority Country
60%
Associate, Data Sciences II
AbbVie · Florham Park, NJ · Associate
Function Therapeutic area Seniority Country
50%
Senior Manager, Biostatistics
AstraZeneca · Boston, Massachusetts, United States of America · Manager
Function Therapeutic area Adjacent seniority Country
50%
Senior Manager, R&D Data, Data Science, and AI – Digital Health for Neuropsychiatry
Johnson & Johnson · Cambridge, United States · Manager
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.