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Lilly Postdoctoral Fellow in Indianapolis, Indiana

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 39,000 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.

Organization Overview

As a post-doctoral fellow, you will have the opportunity to develop algorithms and methods to optimize novel therapeutics and identify targets of interest. You will derive actionable insights from cutting edge assays like single cell sequencing, large association studies, and clinical trials and work on novel therapeutics. The team uses quantitative approaches to leverage large, disparate data types to better understand underlying biology of disease and model how patients could respond to treatments. We are seeking a highly motivated scientist to join a team that can independently conceive of and execute experiments based on discussions with scientific partners.

Key objectives and deliverables:

  • Develop investigational hypotheses, generate, and optimize experimental designs to characterize novel targets.

  • Assess and help select new technologies and external vendors to drive cost efficient and informative assays to answer key scientific questions.

  • Lead strategic collaborations with academic and industrial collaborators.

  • Mentor team members to develop analytical skills and enhance an environment conducive to learning and sharing information.

  • Continued academic leadership by oral and poster presentations at key conferences.

  • Authorship of publications in peer-reviewed journals.

Basic Qualifications

  • PhD in statistical genetics, bioinformatics, mathematics, statistics, computer or biological disciplines,

Additional Skills/Preferences

  • Experience applying analytics, modeling, and statistics to large biological datasets, such as dbSNP or AMP-T2D.

  • Proficiency with one or more general scripting languages such as Python, Perl, or Ruby, and data visualization tools (Spotfire, R, Python).

  • Comfortable with Unix/Linux, SGE clusters, shell scripting.

  • Experience in high-performance storage and compute environment using Amazon Web Services (AWS), Sun Grid Engine, Hadoop ecosystem such as HDFS and Spark

  • Knowledge and hands-on experience of major public and commercial information databases

  • Knowledge of novel statistical and machine learning frameworks, such as deep neural networks, random forests, and/or causal inference methods like BART.

  • Fluency with major public genomics/genetics initiatives and databases such as CCLE, TCGA, ExAc, ENCODE, GEO, etc.

  • Exposure to real world healthcare data, pharmaceutical industry research information, and clinical research data (biomarkers, NGS, omics data) preferred.

  • Experience with one or more of the following therapeutic areas: Diabetes, Neurodegeneration, Pain, Oncology, or Immunology

  • Experience handling data-driven research from project inception to result communication.

  • Proven strong authorship and oral presentation skills.

Additional Information

  • This position is not permanent. It is for a fixed duration of 2 years with the potential to extend annually for up to 4 years.

  • The position is governed by regulations including OSHA, AAALAC, OLAW and NRC — compliance to all applicable regulations is mandatory.

Eli Lilly and Company, Lilly USA, LLC and our wholly owned subsidiaries (collectively “Lilly”) are committed to help individuals with disabilities to participate in the workforce and ensure equal opportunity to compete for jobs. If you require an accommodation to submit a resume for positions at Lilly, please email Lilly Human Resources ( ) for further assistance. Please note This email address is intended for use only to request an accommodation as part of the application process. Any other correspondence will not receive a response.

Lilly is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.

At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people.​ We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe!