Lilly Posted October 9, 2026

PKPD & PMx Data Scientist – PK Data Delivery

Indianapolis, Indiana, United States of America FULL_TIME
Notify me about similar jobs
This position is no longer accepting applications.

Lilly has closed or removed this posting -- see current similar openings below.

View the original listing (may no longer be live).

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.

Overview

The PK Data Delivery (PKDD) team is embedded within Global PK/PD & Pharmacometrics and is the quantitative data partner across discovery and clinical development. We deliver high-quality, analysis-ready and model-ready datasets and analytical outputs that enable model-informed drug development (MIDD) decisions.

We are seeking a highly motivated individual with strong programming and clinical data expertise to support PK data delivery, data quality, and process innovation initiatives. The successful candidate will collaborate with cross-functional teams to ensure PK data are collected, transformed, validated, and delivered efficiently to support decision-making throughout the drug development process.

You will have the opportunity to:

Collaborate with Data Management, Project Statisticians, Statistical Analysts, PK/PD project leaders, Pharmacometricians, and other cross-functional partners to develop and independently validate PK analysis-ready datasets, PK-related SDTM domains, ADaM datasets, and Tables, Listings, and Figures (TFLs) in compliance with study specifications, CDISC standards, regulatory requirements, and company procedures.

Partner with PMx Leads and PK/PD (clinical pharmacology) Leads from study design onward to anticipate the data requirements of planned PK/PD and population analyses, review data collection strategies, study documents, and clinical trial data throughout the study lifecycle, and identify, communicate, and resolve issues impacting PK data quality, traceability, analysis readiness, and downstream analyses.

Develop and implement innovative R programming, automation, and AI-enabled solutions to improve efficiency, quality, reproducibility, and scalability of PKPD data delivery processes.

Basic Qualifications

This position may be filled at different career levels. Placement will be determined based on the candidate’s qualifications, relevant experience, and capabilities demonstrated.

Master's degree in Statistics, Biostatistics, Computer Science, Data Science, Mathematics, or a related quantitative field.

Experience in R or SAS programming.

Experience with clinical trial data structures, clinical data standards, and statistical analysis concepts.

Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT,J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.

Additional Requirements

This position requires regular onsite presence at the assigned Lilly location (Indianapolis, IN, LCC).

Additional Skills / Preferences

Experience developing SDTM datasets, ADaM datasets, and TFL in a regulated clinical development environment.

Experience supporting PK data readiness activities and developing PK analysis-ready datasets for PK/PD and PMx analyses.

Experience with FDA, EMA, ICH, and CDISC standards and guidelines.

Knowledge of clinical trial processes and drug development.

Experience reviewing study design, data collection strategies, and study documentation to support PK or PK/PD analyses.

Experience using AI coding assistants and agentic workflows (e.g., Claude Code) in programming, data review, quality control, or workflow automation.

Strong R proficiency, including package development, reproducible workflows, and version control (Git).

Experience or training in pharmaceutical, biotechnology, CRO, or clinical research environments.

Exposure to population PK/PD or pharmacometric modeling, including dataset conventions for NONMEM, Monolix, or similar tools.

Strong attention to detail and clear written and verbal communication with scientific and clinical partners.

Success Factors

Ownership & Execution

Demonstrates strong attention to detail and commitment to data integrity.

Applies strong logical thinking and problem-solving skills to programming and data-related challenges.

Is self-motivated, accountable, and committed to delivering high-quality results in a timely manner.

Adaptability & Learning

Thrives in a fast-paced, high-demand environment and effectively manages competing priorities, evolving project needs, and tight deadlines.

Actively learns new methods and tools, including AI-assisted ways of working, and applies them to real deliverables rather than waiting for dedicated training time.

Demonstrates flexibility, works independently with minimal supervision, and willingly steps up to support team priorities when needed.

Collaboration & Impact

Communicates data issues and decisions in terms of their impact on the analysis and the program, so partners can act on them.

Builds productive partnerships across functions and proactively engages stakeholders to advance project goals and business outcomes.

Demonstrates ownership by proactively addressing issues, challenging organizational silos, driving cross-functional alignment, and overcoming obstacles that impact quality, efficiency, or project success.

Shows persistence, courage, resilience, and a results-oriented mindset in addressing difficult or longstanding challenges, making tangible progress, driving complex initiatives to successful outcomes, and continuously seeking opportunities for improvement.

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

$90,000 - $195,800

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
Not listed
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 386 comparable Biostatistics & Data Science roles across 44 biopharma companies.

386Comparable roles tracked
355Currently active
44Companies hiring similar roles
26Countries represented

Salary context

169 of 386 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.

This roleSubject $90,000/yr – $195,800/yr
Lowest disclosed · 2027 Future Talent Program - Data Science - Intern · Merck $39,908/yr – $111,111/yr
Highest disclosed · Executive Director, Biostatistics · Vertex Pharmaceuticals Inc (US) $271,600/yr – $407,400/yr
Peer group range $75,510 – $339,500 (median $159,000)

Where these roles are based

Top locations among the 386 comparable roles

United States238
India32
United Kingdom22
China17
Germany11
Japan9

+ 20 more countries

Seniority mix

313 of 386 peers have a known seniority level

Senior86
Manager53
Principal46
Intern/Fellow/Postdoc40
Associate Director37
Director28
Associate12
Senior Director8
Executive/VP3

Therapeutic area mix

39 of 386 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Oncology21
Immunology8
Rare Disease7
Vaccines & Infectious Disease1
Neuroscience1
Cardiovascular / CVRM1

Currently open similar roles

This posting is closed, but here are live openings closest to it -- ranked by similarity, not by how well you'd qualify for them.

40%similar
Lilly Indianapolis, Indiana, United States of America Director
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America Senior
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America Associate
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America Principal
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America Senior
Same function Same country
40%similar
AbbVie Worcester, MA Senior
Same function 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.

Or follow a whole field: get every new Biostatistics & Data Science job in the United States, and choose locations and companies.

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.

40%
Director - Statistics
Lilly · Indianapolis, Indiana, United States of America · Director
Function Therapeutic area Seniority Country
40%
Principal Computational Statistician
Lilly · Indianapolis, Indiana, United States of America · Principal
Function Therapeutic area Seniority Country
40%
Manager, Clinical Data and Reporting Standards - SDTM Programming (Hybrid)
AbbVie · North Chicago, IL · Manager
Function Therapeutic area Seniority Country
40%
Manager, Clinical Data and Reporting Standards - SDTM Programming (Hybrid)
AbbVie · South San Francisco, CA · Manager
Function Therapeutic area 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.