Advisor/Sr. Advisor, Target Discovery Computational Biology - Lilly Gene Therapy

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.

As the lead Computational Biologist for the Lilly Gene Therapy (LGT) Target Discovery Team, you will be responsible for executing all computational biology efforts for gene therapy in the inner ear and will work in close collaboration with members of different LGT teams to support early discovery data analysis for additional therapeutic areas based on changing Priorities. As part of this role, you will be responsible for experimental design, analysis, and interpretation of large data sets including bulk RNA-seq, single-cell/single-nucleus RNA seq, single-cell ATAC seq, and vector genome sequence analysis, using both short and long read sequencing. In addition, you will be supporting integration of the sequencing and analysis pipeline with upcoming Lilly cloud compute Omics Hub. The job requires independence and innovative problem solving skills in all parts of the process from sequencing, estimating gene and transcript expression, applying statistical methods for dimensionality reduction, differential analyses, and clustering, to biological interpretation and multimodal data integration. Reporting to the head of Target Discovery, this individual will work cross-functionally to design and apply these assays in service of developing novel gene therapies. 

Duties and Responsibilities:

• Develop and deploy both classical data science and cutting-edge methods to analyze data from diverse ‘omic modalities, focusing primarily on snRNA-Seq and snATAC-Seq, and addressing challenges such as distribution shift, experimental artifacts, data sparsity, and more.
• Work with lab colleagues to design experiments that generate datasets that are fit for purpose and yield optimal and translationally relevant results.
• Work with the research team to generate yearly and quarterly planning, set impactful goals, and generate team budget in alignment with cross-functional stakeholders.
• Support integration into the Lilly Bioinformatics Hub and close collaborations with partners at Prevail and LGM.

Basic Qualifications:

• Ph.D. in computational biology, genetics, computer science, bioinformatics or a related scientific discipline.
• Minimum of 5 years' work experience in a relevant field, post-PhD.

Additional Skills & Preferences:

• 10+ years practical experience using and developing cutting-edge methods for analyzing biological datasets, including extensive experience with genomic and/or transcriptomic data sets, with single-cell RNA-seq experience strongly preferred.
• 2+ years working in industry, including experience with managing projects and deliverables. Experience and demonstrated ability to work closely with diverse teams including IT professionals, engineers and scientists.
• Strong programming skills in Python and R.
• Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions in a fast-paced environment.
• Passion for making a difference and contributing to translationally relevant science
• Understanding of virology, human physiology or disease biology. Gene Therapy experience preferred. 
• Familiarity with cloud computing services (e.g., AWS or GCP)

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.

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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 Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

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

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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