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

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 2 years' industry 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)

Additional Information:

• This position is based onsite in Boston, MA, and requires the employee to work from the office.

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

$156,750 – $250,800