Senior Scientist, Data Science - R&D DDSAI - Therapeutics Development & Supply (TDS)

Description

The company is a healthcare business working across medicines and medical technology, and this role sits in its R&D Data, Data Science and AI group, supporting Therapeutics Development and Supply.

You will be a hands-on individual contributor building applied AI, machine learning and statistical models for development, manufacturing and clinical supply work.

You will work alongside process development, CMC, clinical supply, manufacturing, quality, regulatory and digital teams to turn data science into practical tools with measurable impact on CMC development, product development, dossier preparation, technical development and clinical supply.

The role is posted for Madrid, Spain; Malvern, Pennsylvania; Spring House, Pennsylvania; and Turnhout or Antwerp, Belgium.

Responsibilities

• Build, test, validate and refine AI and ML models for TDS use cases, working under senior data scientists and the AI Solutions Director.
• Turn scientific and business questions into workable modeling problems, choosing methods that suit the data, the decision at hand, the assumptions and the expected business value.
• Run exploratory data analysis, feature engineering, model selection, hyperparameter tuning and performance evaluation.
• Write clear, documented analytical code in Python and modern data science tools, including cloud-based services.
• Apply software engineering practice in your work: version control, testing, documentation, reproducibility and code review.
• Use current development environments, including AI-assisted coding tools where they fit, to move faster without sacrificing quality, transparency or maintainability.
• Work with scientists, engineers and quality professionals to understand their data and requirements, then design ML and AI solutions around them.
• Manage tasks across several projects at once and report progress to the team lead.
• Take part in technical reviews, cross-functional capability groups and capability-building activities.

Requirements

• Required: an advanced degree in data science, statistics, computer science, engineering, chemistry, physics or a related quantitative field.
• Required: 1, 3 years of experience in applied data science, machine learning or statistical modeling, which may include graduate research.
• Required: proficiency in Python and common data science libraries such as scikit-learn, pandas, numpy, PyTorch and TensorFlow.
• Required: strong analytical and problem-solving skills.
• Required: good communication skills and the ability to work well in cross-functional teams.
• Preferred: a Ph.D. in mathematics, statistics, engineering, chemical engineering, computer science, data science, operations research, chemistry, physics, pharmaceutical sciences or another related quantitative or scientific field.
• Preferred: experience with pharmaceutical, bioprocess, manufacturing or healthcare data.
• Preferred: familiarity with experimental design, Bayesian methods or scientific computing.
• Preferred: exposure to building or deploying agent-based AI solutions.
• Preferred: exposure to cloud-based data science environments such as AWS and Snowflake.
• Preferred skills: advanced analytics, business intelligence (BI), coaching, collaboration, critical thinking, data analysis, database management, data privacy standards, data reporting, data savvy, data science, data visualization, econometric models, process improvement, technical credibility, technological savvy and workflow analysis.

Conditions

The base pay range for this role is not stated in the posting.

Eligibility for the company's pension and 401(k) savings plans follows the terms of each plan.

The role is eligible for the company's long-term incentive program.

Time off includes 120 hours of vacation and 13 days of holiday pay, including floating holidays, each calendar year, plus up to 40 hours of work, personal and family time per calendar year.

Sick time is 40 hours per calendar year, or 48 hours for employees living in Colorado and 56 hours for employees living in Washington.

Parental leave is 480 hours within one year of the birth, adoption or foster placement of a child.

Bereavement leave is 240 hours for an immediate family member and 40 hours per calendar year for an extended family member.

Caregiver leave is 80 hours in a 52-week rolling period, followed by 10 days.

Volunteer leave is 32 hours per calendar year, and military spouse time off is 80 hours per calendar year.

The company provides equal opportunity to all applicants and respects the diversity, dignity and merit of its employees.

Benefits

• Eligibility for the company's long-term incentive program, subject to its terms.
• Retirement and savings plan access through the pension and 401(k) plans, subject to each plan's terms.
• Generous leave, including vacation, holiday pay, parental, bereavement, caregiver, volunteer and military spouse time off.