Position : Data Scientist
Location : Cambridge, MA Local
Employment Type : Contract
- As a Data Scientist within Moderna s Data Science and Artificial Intelligence (DSAI) team, you will design and deploy advanced machine learning and optimization solutions that power our manufacturing and technical development ecosystems.
- You will play a critical role in scaling the production of mRNA therapeutics, transforming complex data into actionable insights that directly impact patients worldwide.
- This is a high-impact individual contributor role where scientific curiosity, computational rigor, and operational awareness converge to accelerate innovation across Moderna s platform.
- Here s What You ll Do: Support a wide variety of analytical, quality control, and manufacturing processes through advanced data analysis and visualization, statistical modeling, and Bayesian experimental design
- Apply advanced techniques such as constrained optimization, machine learning, and Monte Carlo simulations to solve complex challenges including schedule optimization and batch generation
- Identify high-impact opportunities by leveraging and applying the latest advances in computer science and operations research, continuously staying at the forefront of the field
- Partner closely with cross-functional business and product stakeholders to iteratively align on project goals across the full lifecycle spanning data acquisition, modeling strategy, validation, deployment, and monitoring
- Collaborate deeply with data scientists, engineers, research scientists, statisticians, and manufacturing teams to drive integrated, scalable solutions
- Champion and implement data science and software engineering best practices to ensure robustness, reproducibility, and scalability of solutions
- Communicate complex analytical findings clearly and effectively to both technical and non-technical audiences, internally and externally
- Explore and integrate emerging Generative AI capabilities to enhance modeling approaches, accelerate experimentation, and unlock new efficiencies across manufacturing and development workflows
Here s What You ll Need (Basic Qualifications)
- Ph.D. in a quantitative STEM field (technology, engineering, and mathematics) with 0-2 years of professional experience, or a Master's degree plus
- 5-8 years of relevant professional experience required.
- Experience with optimization (combinatorial, discrete, convex, etc.) preferred but not required.
- Background in bioinformatics preferred but not required.
- Experience delivering data science projects analyzing and modeling scientific engineering data, preferably in an industry setting.
- Outstanding communication skills (verbal, written and remote).
- Demonstrated experience in collecting, cleaning, and analyzing large and/or unstructured datasets and effectively communicating insights.
- Fluency in Python, especially the data scientific stack (Jupyter/Pandas/scikit-learn) and machine learning libraries
- Familiarity with best practices in software development, including Amazon Web Services, Docker, version control (Git), and documentation.
- Working knowledge of relational databases (e.g., PostgreSQL).
- Ability to manage multiple projects and effectively collaborate in a dynamic, cross-functional environment.
- Proficiency in English (verbal and/or written) required due to global collaboration needs Key Responsibilities
- Model Development: Design, train, and tune machine learning models (unsupervised/supervised) and statistical algorithms to detect anomalies.
- System Monitoring: Implement real-time monitoring of data streams and system logs to identify deviations from expected behavior.
- Data Analysis & Investigation: Analyze large, complex datasets to investigate root causes of flagged anomalies.
- Alert Optimization: Reduce false positives by tuning detection thresholds, ensuring high-accuracy alerts.
- Collaboration: Work with product management, data engineers and IT teams to implement data quality, security, and automated detection pipelines
- Data Techniques: Strong understanding of statistical analysis, data mining, and feature engineering.
Thanks and regards
Sonali Silswal
Email: Sonali.silswal
Contact :
Address: 2591 Dallas Pkwy, Ste 300, Frisco, TX 75034
Website: