Post Doctoral Fellow-Fixed Duration Employee

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. Our team in New York supports Lilly's immuno-oncology program and shares a real passion for challenging conventional wisdom and creating an environment that embraces creative, break-through concepts.

Responsibilities
As a post-doctoral fellow, you will have the opportunity to conduct research as part of a biomarker team working on immuno-oncology. 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 immuno-oncology 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.

48343BR

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.
• 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.
• Knowledge and hands-on experience of major public and commercial information databases
• Fluency with major public oncology related 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, omics data) preferred.
• 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.
• 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