Statistician
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.
Organization Overview
At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.
Responsibilities
A Project Statistician – Manufacturing supports the manufacture of current and new products and processes, driving and sustaining statistical thinking and appropriate use of statistical methodologies. Specific aspects include (but not limited to) statistically designed experiments, sampling, regression, establishment of regulatory specifications, establishment of control strategies and evaluation of capability.
Collaborate with personnel supporting all aspects of manufacturing to provide statistical expertise, study design, and analysis and communicate data driven decisions for process improvements, process understanding, analytical methods, and stability studies.
Establish control strategies for manufacturing processes and analytical assays, evaluate process control and capability, and determine appropriate regulatory specifications.
Communicate statistical concepts and analysis in one-on-one meetings, oral presentations, and internal reports.
Develop a thorough understanding of the process/systems relevant to the manufacture of the active ingredient and/or final drug product.
Serve as the statistical lead and effective member of diverse multi-functional teams providing statistical guidance and problem-solving acuity on a wide range of projects.
Strong interpersonal skills (job requires significant customer/peer/management interaction) and ability to work effectively on teams.
Basic Requirements
Master degree in Statistics.
Additional Skills/Preferences
CMC experience highly preferred
Proficiency in the use of statistical software (e.g. JMP, SAS, R, etc.).
Coursework (Experimental Design, Regression, Six Sigma, Statistical Process Control and Improvement, Mixed Models, Sampling).
Excellent verbal and written communication skills.
Experience in drug development or manufacturing.
Ability to engage in and facilitate decision-making.
Ability to balance multiple activities, prioritize and manage ambiguity.
Demonstrated exemplary teamwork/interpersonal skills.
Demonstrated problem solving, attention to detail and result oriented behaviors in a fast-paced environment.
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 does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
#WeAreLillyUKandIreland
Job details
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 137 comparable Biostatistics & Data Science roles across 22 biopharma companies.
Salary context
46 of 137 peers report a salary range (USD, annualized)
Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.
Where these roles are based
Top locations among the 137 comparable roles
+ 10 more countries
Seniority mix
105 of 137 peers have a known seniority level
Therapeutic area mix
14 of 137 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.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Open in 2 locations
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
Matched on job function only -- seniority, specialty, and location weren't confirmed as aligned.
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.