Company: Eli Lilly and Company
Posted on: June 12, 2021
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.
At Lilly, we serve an extraordinary purpose. For more than 140
years, we have worked tirelessly to discover medicines that make
life better. These discoveries start in Lilly Research
Laboratories, where our scientists work to create new medicines
that will help solve our world's greatest health challenges. We
explore how next generation therapeutics, new technologies, and
data analytics can improve patient health and the healthcare
system. We share a real passion for challenging conventional wisdom
and creating an environment that embraces creative, break-through
Machine learning (ML) shows promising opportunity for finding
novel targets and biomarkers by mining large datasets. Natural
language processing, feature preprocessing, and feature engineering
are challenging when working with high-dimensional data, which may
have 100s of thousands of genomic, chemical, or clinical features
and mapping them successfully to biological context such as
pathways and networks. As a post-doctoral fellow, you will have the
opportunity to develop algorithms and methods to work with large
biological datasets, 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
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
Lead strategic collaborations with academic and industrial
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.
PhD in statistical genetics, bioinformatics, mathematics,
statistics, computer or biological disciplines
- Prior hands-on experience in one or more of the following
areas: bioinformatics, statistics, machine learning, artificial
Demonstrable experience with feature engineering techniques in
publications and/or open-source contributions (e.g: GitHub)
Proficiency with one or more general scripting languages such as
Python, Perl, or Ruby, and data visualization tools (Spotfire, R,
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
Working experience with real world healthcare data,
pharmaceutical industry research information, and/or clinical
research data (biomarkers, NGS, omics data) preferred.
Experience in ChemInformatics, especially de novo synthesis,
docking, or protein folding predictions.
Experience with structural biology, such as CryoEM and Xray
Experience handling data-driven research from project inception
to result communication.
Proven strong authorship and oral presentation skills.
Experience performing bioinformatics analysis using machine
Experience utilizing GPUS for massively parallel computing
- Experience with Jupyter and RStudio notebook environments
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 (
Lilly_Recruiting_Compliance@lists.lilly.com ) 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
Keywords: Eli Lilly and Company, Indianapolis , Postdoctoral Fellow, Other , Indianapolis, Indiana
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