Postdoctoral ML Scientist, Drug Safety & Rare-Event Modeling

kozmetickesluzby.vecnakraska.sk - Jobboard; Indianapolis (IN); On-site; USD 58,000 - 123,200; Full time

Benefits offered by this job

401(k)

Pension

Medical benefits

Vacation

Employee assistance program

Job summary

Lilly is seeking a data scientist specialized in machine learning and safety outcomes in Indianapolis, Indiana. The role involves developing models to predict drug safety outcomes and requires an advanced degree in a related field.

The ideal candidate will have experience in analyzing clinical data, proficiency in Python and R, as well as strong communication skills. Benefits include competitive salary and comprehensive benefits package with opportunities for career advancement.

Qualifications

• Ph.D. or PharmD in relevant field with advanced analytical skills.
• Competency in independent analysis of data from clinical studies.
• Excellent computer skills with machine learning experience.

Responsibilities

• Develop and validate machine-learning models for safety outcomes.
• Present findings at conferences and publish in journals.
• Communicate findings with internal partners and regulatory authorities.

Skills

Independent analysis of data

Statistical modeling

Machine learning

Programming in Python

Programming in R

Data analysis and reporting

Excellent communication skills

Education

Advanced analytical, statistical, bioinformatics, or medical-related graduate degree (Ph.D., PharmD)

Job description

Lilly is seeking a data scientist specialized in machine learning and safety outcomes in Indianapolis, Indiana. The role involves developing models to predict drug safety outcomes and requires an advanced degree in a related field.

The ideal candidate will have experience in analyzing clinical data, proficiency in Python and R, as well as strong communication skills. Benefits include competitive salary and comprehensive benefits package with opportunities for career advancement.