Data Scientist (Biotech)

Location: US - Massachusetts - Cambridge; may telecommute

Salary: $114,088–$133,117 per year

Company

hirify.global is a biotechnology company researching, manufacturing, and delivering medicines for serious illnesses across oncology, inflammation, general medicine, and rare disease.

What you will do

• Apply statistical trending tools, engineering principles, and multivariate analysis to product and method data.
• Analyze sources of variation and identify opportunities to improve analytical methods and processes.
• Use data analytics software to create visualizations for assessing analytical method performance.
• Partner with analytical scientists, process development scientists, engineers, quality teams, and manufacturing organizations to support data needs and resolve method issues.
• Support GMP activities, including annual product reviews, regulatory inspections, and process documentation.
• Apply machine learning methods where appropriate and evaluate new statistical technologies.

Requirements

• Master’s degree or foreign equivalent in Data Science, Computer Engineering, or a related field.
• University-level coursework, research, internship, thesis, or one year of experience in the listed technical areas.
• Experience with data analysis and visualization using Power BI and Tableau.
• Experience developing ETL data pipelines with data warehouse solutions including Databricks, Snowflake, and Amazon Redshift.
• Knowledge of time-series analysis, statistical analysis, hypothesis testing, Python, and R.
• Knowledge of AI/ML techniques including classification, regression, anomaly detection, deep learning, NLP, predictive analytics, and convolutional neural networks.

Culture & Benefits

• Collaborative, innovative, and science-based work environment.
• Medical, dental, vision, life, and disability insurance.
• Retirement and savings plan, flexible spending accounts, and stock-based long-term incentives.
• Eligibility for a discretionary annual bonus.
• Award-winning time-off plans and career development opportunities.
• Flexible work models, including remote and hybrid arrangements where possible.