Advisor / Sr. Advisor – Computational Imaging Specialist

BioSpace; Indianapolis (IN); Presencial; USD 129.000 - 211.000; Jornada completa

Descripción de la vacante

Lilly seeks a hands-on computational imaging scientist to design, validate, and deploy enterprise-scale imaging solutions. You will work across histology and fluorescence modalities, building cloud-based pipelines with QC and traceability while applying ML/AI techniques to generate decision-driving insights.

Collaboration with bench scientists and partners is essential for translational impact. Applicants should hold a PhD in a quantitative field and have deep experience in Python/R,

Formación

• PhD in Computational Biology, Bioinformatics, Computer Science, Biomedical Engineering, Quantitative Biology, Data Science, or related quantitative field.
• Demonstrated experience designing, developing, validating, and deploying computational image-analysis workflows.
• Strong Python and R with software engineering practices and containerization (Docker preferred).
• Experience with AI coding assistants and agentic AI systems; validation of AI-generated code.

Responsabilidades

• Design, validate, and deploy quantitative image-analysis workflows for histology and fluorescence imaging.
• Build reproducible, cloud-based pipelines with rigorous QC and traceability.
• Apply computer vision, ML, and generative models to practical biomedical problems.
• Collaborate with bench scientists and manage external collaborations and CROs.

Conocimientos

Python

R

Git

Docker

Code review

Testing

Documentation

Educación

PhD in Computational Biology, Bioinformatics, Computer Science, Biomedical Engineering, Quantitative Biology, Data Science, or related field

Herramientas

HALO

Visiopharm

Arivis Pro

AtoMx

QuPath

Descripción del empleo

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.

Position Purpose

This hands‑on scientific role sits at the intersection of computational biology, quantitative image‑analysis, AI‑assisted scientific computing, enterprise data science, and drug discovery, within an enterprise capability serving Lilly’s therapeutic areas (diabetes, obesity, cardiometabolic, cardiorenal, women’s health, neuroscience, immunology, and others). Operating independently as a scientific and technical domain expert, you will design, validate, and deploy enterprise‑scale, cloud‑based computational imaging solutions, emphasizing reproducibility over desktop workflows and the responsible use of AI, including AI coding assistants and agentic systems, that turn microscopy, histology, digital pathology, and spatial tissue analysis (Cellular neighborhoods, tissue organization, microenvironment features) data into decision‑driving evidence from preclinical through translational and early clinical research. Computational expertise in this role is complemented, not replaced, by hands‑on wet‑lab capability in brightfield IHC and IF workflows, grounding image‑analysis in practical understanding of staining, assay development, and the underlying biology. This is not a traditional bioinformatics, pathology, or standalone image‑analysis position, and it does not involve radiology or medical imaging (CT, MRI, PET).

Key Responsibilities

• Design, validate, and deploy quantitative image‑analysis workflows for brightfield (histology, H&E, chromogenic, IHC) and fluorescence (IF, multiplex IF) imaging: segmentation, object detection, feature extraction, biomarker quantification, colocalization, and cell/tissue phenotyping.
• Generate and evaluate IHC/IF samples at the bench as needed (tissue processing, staining, assay development, QC), applying this understanding of what drives image quality to ensure biologically meaningful analysis, solve workflows end to end, and collaborate effectively with bench scientists.
• Build reproducible, scalable, cloud‑based pipelines (AWS today; cloud‑agnostic by design) with rigorous image QC, statistical analysis, and traceability.
• Apply computer vision, machine learning, and deep learning, including foundation, multimodal, and generative models, to practical scientific problems; use AI coding assistants while rigorously validating AI‑generated code and outputs.
• Drive computational imaging strategy: translate scientific questions into scalable analytical solutions and deliver them to project achievements across therapeutic areas.
• Evaluate commercial and open‑source technologies, inform build‑versus‑buy decisions, and integrate vendor platforms (e.g., HALO, Visiopharm, Arivis Pro, AtoMx) and open‑source tools (e.g., QuPath) with internal Lilly capabilities.
• Contribute to enterprise imaging data architecture: repositories, metadata, governance, and lineage.
• Manage external collaborations and outsourcing with CROs, academic groups, and technology partners, including quality oversight of external data and analyses.
• Contribute to biomarker discovery and validation, publications, and presentations; champion scientific software and responsible‑AI protocols and mentor colleagues informally.

Basic Qualifications

• PhD (completed or imminent) in Computational Biology, Bioinformatics, Computer Science, Biomedical Engineering, Quantitative Biology, Data Science, or a related quantitative field

Additional Preferences

• Demonstrated experience independently designing, developing, validating, and deploying computational image‑analysis workflows.
• Strong Python and R, with software engineering practices: Git, code review, testing, reproducibility, documentation, and containerization (Docker preferred).
• Demonstrated use of AI coding assistants and/or agentic AI systems, including critical review, validation, debugging, and quality control of AI‑generated code.
• Hands‑on quantitative analysis of brightfield (e.g., H&E, IHC) and fluorescence (e.g., IF, multiplex IF) microscopy, including segmentation and biomarker quantification.
• Hands‑on wet‑lab experience in brightfield IHC and IF workflows, tissue processing, staining, assay development, and QC, with the ability to independently generate and evaluate samples; complementary to, not a replacement for, the core image‑analysis expertise above.
• Experience with one or more enterprise‑grade image‑analysis platforms (e.g., HALO, Visiopharm, Arivis Pro, AtoMx, QuPath, or comparable).
• Experience developing analytical workflows in cloud environments (e.g., AWS or equivalent).
• SQL, Bash/Linux, JavaScript, and cloud‑native analytics frameworks.
• Whole‑slide imaging, confocal microscopy, and spatial tissue imaging; spatial omics platforms (e.g., CosMx, Xenium, MERSCOPE, GeoMx DSP).
• Enterprise‑scale imaging datasets and repositories, data governance, metadata, and lineage; imaging data standards (e.g., OME‑TIFF, DICOM‑WSI).
• Multimodal integration of imaging with transcriptomics, proteomics, spatial tissue analysis, and other omics datasets.
• Statistics and experimental design for imaging endpoints (power, batch effects, multiple testing); annotation and ground‑truth strategy with pathologists.
• Workflow orchestration (e.g., Nextflow, Snakemake, Airflow), ML model lifecycle management, and GPU/HPC computing.
• Vendor evaluation and management; technical, project, or people leadership experience.
• Peer‑reviewed publications and strong communication of computational results to non‑computational audiences.

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 $129,000 - $211,200. 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.

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