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Lilly TSMS Data Scientist in Kinsale, Ireland

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 35,000 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 believe in the talent of our workforce. One of the best ways to utilize and develop that talent is to use our existing workforce to fill new and/or open positions. If you are looking for a new position within Lilly, you can view and apply to open roles posted in the internal job posting system. You must meet the minimum qualifications outlined in the job description and have/obtain work authorization in the country the position is located in order to be considered. When applying internally for a position, your current supervisor will receive notification that you have applied to the position. We encourage employees to discuss the opportunity with their supervisor prior to applying.

Outline of TSMS Data Scientist Role:

The TSMS Data Scientist role will be responsible for identification and development of solutions using data science methods and principles to generate deeper insights from a greater variety of internal and external data sources. The TSMS data Scientist will work closely with plant and lab TSMS functions to deliver automated data analysis and monitoring to increase efficiency, productivity, and process automation. The TSMS data scientist will also provide support to the site statistical function.

Key Responsibilities:

  • Apply analytical and statistical methodology, including the concepts of Statistical Process Control (SPC), to process and experimental data to identify trends, assess process capability, and provide appropriate conclusions to enable data driven decision-making and to determine the root cause of process upsets.

  • Support of the real-time multivariate SPC programme using SIMCA-online.

  • Use appropriatestatistical methodologies to assign specifications, validation acceptance criteria, tech transfer criteria, material sampling criteria, comparability assessments and analysis of batch data for summary reports and product reviews.

  • Use of statistical and programming software (e.g. SAS, R, JMP, Python, SIMCA) to apply a broad range of data science and statistical applications, such as linear regression, DoE, multivariate analysis,and statistical modelling.

  • Assist with Design of Experiments (DoE) including data analysis to support lab studies and assist with the development of product control strategies

  • Interpret and communicate the results of data analytics and statistical analysis clearly and concisely to audiences with varying backgrounds and degrees of technical understanding.

  • Provide training and mentoring to technical staff to strengthen capabilities in statistical methods and data-based decision making.

  • Collaborate within cross-functional teams to integrate data analytics and statistical methodologies into everyday work, develop solutions, gain alignment, and deliver impactful business insights while engaging the necessary stakeholders to enable data driven decision-making.

  • Ensure data integrity by performing rigorous error checking, and data validation.

Pre-Requisites

  • A demonstrated interest in the field of statistics and data science

  • Skilled in quantitative analysis and data management

  • Strong problem solving skills

  • Demonstratable learning agility

  • Strong ability to influence

  • Ability to communicate effectively with all levels and functions in the organisation.

  • Ability to work on multiple concurrent project initiatives.

  • Ability to work in a team environment

  • Ability to build strong relationships across the organisation

  • Highly motivated

Educational/Experience Requirements

  • Third level qualification (eg. BSc or MSc) in Statistics, Data Science, Applied Mathematics or a relevant discipline.

  • Prior experience in a pharmaceutical manufacturing environment is preferable.

  • Prior knowledge and experience with programming, data analysis and process modelling in tools such as Python, R, Matlab, Unscrambler, SAS, SIMCA, Grams, JMP, etc. is preferable.

Additional Skills/Preferences:

  • Familiarity in areas like biochemistry, cellular biology, organic chemistry, physical chemistry, and cellular proliferation methods and techniques is desired.

  • Knowledge of pharmaceutical process steps such as biologics manufacturing, small molecule organic synthesis, and oral solid dosage form manufacturing is advantageous.

Key Attributes: (These will be what are used to assess the candidates)

Business Knowledge: High performance in delivery of their work. Looks at better, simpler ways, takes initiative and will run proactively with actions. Demonstrated self-management, prioritisation and organisational skills.

Learning agility and Curiosity: High learning agility and flexibility and ability to deal with ambiguity and uncertainty. Demonstrated ability to identify and prioritize problems, develop and implement solutions.

Positive Influence: Demonstrated ability to address issues as they arise and take action. Trusted in the team to follow through on actions. Is interested in own performance and seeks feedback to improve.

Relationship Builder: Demonstrated ability to establish and maintain key relationships across all levels in the organisation.

Ability to lead people: Demonstrated ability to lead and motivate in a team environment. Demonstrated ability to influence peers and across functions.

Communication: Demonstrated strong communication skills, written and oral in 1:1 and group situations.

Decision Making: Demonstrated ability to be decisive and make well informed decisions for the benefit of the team. Demonstrated ability to collate required information and ask the appropriate questions of peers to get to the best solution.

Note: When applying internally for a position your current supervisor receives notification that you have applied to the position. We encourage employees to discuss the opportunity with their supervisor prior to applying.

Lilly 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.

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 ( LillyRecruitingCompliance@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 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.

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