- Develop and implement data models and algorithms for pharmaceutical quality and R&D.
- Leverage generative AI and large language models to enhance data analysis and automate processes.
- Collaborate with cross-functional teams to ensure data integrity and accuracy.
- Provide expertise in designing and delivering digital projects.
- Set and maintain GxP standards in alignment with Takeda Software Development Lifecycle policies.
- Prepare and present detailed reports and visualizations to stakeholders.
- Lead the integration and advancement of AI technologies in R&D Quality.
- Develop and implement strategic AI initiatives to enhance Quality Management Systems (QMS).
- Oversee AI-driven projects and ensure timely delivery.
- Foster a culture of innovation and collaboration.
location: Lexington, Massachusetts
job type: Contract
salary: $120.03 - 129.03 per hour
work hours: 9am to 5pm
education: Masters
responsibilities:
- Develop Predictive Models: Create and refine predictive models to support business decision-making and improve operational efficiency[2].
- Conduct Advanced Statistical Analysis: Perform in-depth statistical analysis to uncover patterns, trends, and insights from large datasets[3].
- Oversee Junior Data Scientists: Mentor and guide junior data scientists, providing support and feedback to help them grow in their roles[2].
- Drive Business Insights: Use data-driven insights to inform strategic decisions and drive business growth[3].
- Ensure Data Quality: Implement data governance practices to maintain high data quality and integrity[2].
- Deploy and Monitor Models: Deploy machine learning models into production, monitor their performance, and make necessary adjustments to ensure optimal results[3].
- Innovate and Optimize: Continuously seek opportunities to innovate and optimize data science workflows and processes[1].
- These additional line items should provide a comprehensive overview of the skills, expectations, and responsibilities for a mid-level data scientist. Would you like any further details or modifications?
qualifications:
- Master's degree in Data Science, Statistics, Computational Biology, Bioinformatics, Computer Science, or a related field with 8-12 years of experience.
- 5-10 years of experience applying machine learning/deep learning in life sciences.
- Proven track record of leading AI-driven projects in a pharmaceutical or biotechnology setting.
- Experience with generative AI and large language models.
- Familiarity with GxPs, regulatory requirements, and quality standards in the pharmaceutical industry.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills to convey complex information to non-technical stakeholders.
skills:
- Advanced Machine Learning Algorithms: Proficiency in implementing and optimizing machine learning algorithms using libraries such as Scikit-learn, TensorFlow, and PyTorch[1].
- Data Engineering: Experience with data extraction, transformation, and loading (ETL) processes, and familiarity with tools like Apache Spark and Hadoop[2].
- Data Modeling: Ability to design and implement data models that support business requirements and improve data accessibility[2].
- Statistical Analysis: Strong foundation in statistical methods and their application in real-world scenarios[3].
- Programming Languages: Proficiency in programming languages such as Python, R, and SQL[1].
- Data Visualization: Expertise in data visualization tools like Tableau, Power BI, or Matplotlib to present insights effectively[3].
- Domain Knowledge: Understanding of the specific industry domain to provide tailored, actionable insights[1].
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
