Associate Consultant, Scientific Data & AI

Location: Boston, Massachusetts, United States; hybrid work combining work from home with on-site presence at client or hirify.global offices. Client-facing travel is required as needed.

Salary: $120,000.00–$137,000.00 per year

Company

hirify.global is a management consulting and technology firm combining data, science, technology, and human ingenuity to develop solutions and technology products for life sciences clients.

What you will do

• Design, build, and deploy proof-of-concept and production-grade analytical and GenAI applications for pharmaceutical research and development.
• Develop solutions for drug repurposing, target identification, gene prioritization, and related scientific research use cases.
• Build data foundations including databases, data warehouses, data pipelines, and data engineering solutions.
• Write Python and SQL and contribute to scalable applications, analytical solutions, and data products.
• Supervise and provide technical guidance to developers, ensuring robust, maintainable, production-ready solutions.
• Translate scientific requirements into technical solutions while collaborating with scientists, engineers, developers, and business stakeholders.

Requirements

• PhD or Master’s degree in a quantitative or scientific discipline such as applied mathematics, physics, computer science, biophysics, computational biology, bioinformatics, engineering, or a related field.
• Fluency in biology and life sciences sufficient to engage with scientists and understand pharmaceutical R&D requirements.
• Strong quantitative, analytical, structured problem-solving, communication, and stakeholder management skills.
• Strong Python skills and experience building production-grade applications.
• At least 2.5 years of experience developing production-grade applications, analytical tools, data products, or data engineering solutions.
• Experience reviewing, supervising, or providing technical direction to developers or coding teams.
• Experience with GenAI or machine learning applications and familiarity with databases, data warehouses, data pipelines, and data architecture.
• Ability to translate scientific and business requirements into scalable technical solutions.
• Fluent English, client-first mentality, intense work ethic, collaborative spirit, and a problem-solving approach.
• Must have U.S. work authorization that does not now or in the future require employer sponsorship; this position is not eligible for visa sponsorship.

Nice to have

• Experience in pharmaceutical, biotech, or life sciences environments.
• Experience developing applications for scientists or R&D teams.
• Exposure to drug discovery use cases such as drug repurposing, target identification, or gene prioritization.
• Experience with cloud platforms, modern data environments, or enterprise data infrastructure.
• Data engineering experience with PySpark and data quality, or experience with platforms such as Databricks or Snowflake.

Culture & Benefits

• Cross-functional skills development, custom learning pathways, and milestone training programs.
• Career progression and internal mobility through individual contribution and role expansion paths.
• Comprehensive rewards supporting health and well-being, financial security, time away, and professional development.
• Flexible hybrid work combining remote work with on-site collaboration and a collaborative culture.
• Client-facing travel as required by project and business needs.

Hiring process

• Submit an online application with a full set of official or unofficial transcripts.
• No agency calls, please.