Key Responsibilities
Oversee the deployment of computational resources to enable drug discovery genomics efforts, such as sequencing-based high-throughput screening
Lead, mentor, and grow a team of high-performing PhD-level data scientists
Help set the team’s computational genomics and AI/ML strategy, aligning priorities with portfolio needs
Build on the team’s existing AI/ML work, deepening its capability in emerging machine learning and deep learning methods and serving as a technical thought partner on method selection, model design, and evaluation
Guide the translation of promising computational methods developed within the team into robust, scalable tools that support portfolio decisions
Champion the adoption of new analytical approaches across RNA Therapeutics
Foster an environment where team members contribute ideas and are recognized for their work
Help the team navigate scientific and technical questions where no established precedent exists, and make the call when a decision is needed
Partner with scientific leaders across RNA Therapeutics to guide the generation of large-scale genomics datasets purpose-designed to train, benchmark, and improve AI/ML models
Ensure the team delivers rigorous, decision-grade analysis across modalities including 3'-RNA-seq, mRNA-seq, MPRA, single-cell genomics, spatial transcriptomics, CLIP-seq, and Perturb-seq
Establish standards for reproducibility, quality control, and analytical rigor across the team’s analysis and ML workflows on cloud-based infrastructure
Drive process optimization to increase the speed, reproducibility, and probability of technical success of genomics analysis across the portfolio
Partner with an established wet lab genomics team to co-design experiments, interpret results, and troubleshoot
Partner with project teams across RNA Therapeutics, providing computational insight that informs target and asset decisions
Represent the team’s science to internal and external partners, and create opportunities for team members to present and publish their work
Build external collaborations and networks that bring new methods, collaborations, and talent to the team
Basic Qualifications
PhD in bioinformatics, computational biology, statistics, data science, machine learning, biophysics or a related scientific field, with a minimum of 4 years of relevant industry or academic leadership experience
Additional Skills/Preferences
Demonstrated experience leading and growing teams of scientists, including scientists doing original methods development
Strong, current background in machine learning and deep learning for genomics (for example, sequence-to-function models, genomic foundation models, or perturbation response modeling), including designing datasets and evaluation strategies
Deep knowledge of statistics, genetics, genomics, integrative analysis, and modeling
Strong background analyzing large-scale genomics data across modalities such as 3'-RNA-seq, mRNA-seq, MPRA, single-cell genomics, spatial transcriptomics, CLIP-seq, and Perturb-seq
Experience running genomics analysis in a pipeline-facing or production context, with an emphasis on reproducibility and quality control
Strong working knowledge of cloud-based computing infrastructure for genomics and ML workflows
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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
- $193,500 - $338,800
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.
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