Advisor - Statistician in Product Development
US: Indianapolis IN Tech Center North
Eli Lilly and Company
Lilly is a medicine company turning science into healing to make life better for people around the world.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 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.
Lilly Research Laboratories (LRL) aims to discover and develop novel medicines that will benefit patients globally through a relentless focus on innovation and solutions to unmet needs. We are looking for a highly qualified statistician to support a wide variety of projects in the product development (nonclinical) area of LRL in collaboration with biologists, chemists, formulators, and engineers. In addition to strong technical skills, the role requires a strong desire and ability to take initiative, educate, and communicate the value of good statistical practices and concepts to a variety of fellow scientists.
Location: Indianapolis
Key Objectives/Deliverables:
The statistician will provide statistical support to scientists in Product Development with a mix of emphasis on a variety of molecule types, including new modalities.
- Experimental design and analysis support for chemists/biologists and formulation scientists to develop & optimize chemical/biochemical processes as well as oral and parenteral formulations, in both batch and continuous manufacturing
- Experimental design and analysis support for analytical chemists to develop, validate, and transfer analytical methods
- Design and analysis of long-term and accelerated stability studies to inform development of clinical phase and commercial specifications and expiry dating
- Development and implementation of novel methods to enable or advance drug development and manufacturing
- Author sections of CMC (Chemistry, Manufacturing, and Controls) regulatory submission documents for successful product approval throughout the world
- Collaborate with scientists and statisticians on applied research projects related to modeling, experimental design, process control, and/or multivariate analysis.
Communicate Results
- Collaborate with team members or external partners to communicate development study results with an emphasis on clarity and visualization
- Assist with or be responsible for communicating via manuscript or oral presentation
- Communicate results in one-on-one meetings with key customers or external partners and present at scientific meetings
Therapeutic/Scientific Area Knowledge
- Develop understanding of scientific areas and disease states to enhance the level of customer focus and collaboration and be a strong scientific contributor.
Regulatory Compliance
- Perform work in full compliance with assigned curricula and follow applicable Corporate, local, and departmental policies, procedures, processes, and training.
Training and Development
- Develop and provide training courses for various statistical methods
Requirements:
- Ph.D. in Statistics, Biostatistics, Industrial Engineering, Operations Research
or
- M.S. in Statistics, Biostatistics, Industrial Engineering, Operations Research with at least 10 years pharmaceutical experience
Additional Skills/Preferences:
- Additional work experience, especially in the application of statistics in the pharmaceutical development or manufacturing areas
- Excellent English communication skills, especially related to technical/scientific issues
- Proficient in R, Python, JMP and/or SAS programming language.
- Proficient in acquiring and compiling data across sources
- Expertise in DOE, Bayesian, machine learning, visualization
- Interpersonal/teamwork and communications skills for effective customer collaboration
- Strong teamwork and leadership skills
- Self-management skills, creativity, and innovation
- Demonstrated exemplary teamwork/interpersonal skills
- Demonstrated problem solving, attention to detail and result oriented behaviors in a fast-paced environment.
- Degree in or strong desire to learn about chemistry, biology, engineering, computer science, and pharmaceutical science
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 protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and help our company develop talented individuals for future leadership roles. Our current groups include: Africa, Middle East, Central Asia Network, African American Network, Chinese Culture Network, Early Career Professionals, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinos at Lilly, PRIDE (LGBTQ + Allies), Veterans Leadership Network, Women’s Network, Working and Living with Disabilities. Learn more about all of our groups.
#WeAreLilly
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bayesian Biology Biostatistics Chemistry Computer Science Engineering Industrial Machine Learning Pharma Python R Research SAS Statistics
Perks/benefits: Career development
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Research Scientist jobs
- Open Data Science Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Scientist jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open BI Analyst jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Engineer jobs
- Open Lead Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Science Intern jobs
- Open Software Engineer, Machine Learning jobs
- Open Senior Business Intelligence Analyst jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Analytics Engineer jobs
- Open Marketing Data Analyst jobs
- Open Data Engineer III jobs
- Open Junior Data Engineer jobs
- Open Data Analyst II jobs
- Open Data Engineering Manager jobs
- Open ETL Developer jobs
- Open Data quality-related jobs
- Open Tableau-related jobs
- Open Privacy-related jobs
- Open Excel-related jobs
- Open ML models-related jobs
- Open Data pipelines-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open LLMs-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open Deep Learning-related jobs
- Open Business Intelligence-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs
- Open Git-related jobs
- Open Hadoop-related jobs
- Open Docker-related jobs