Technical Life Sciences Consultant, Pharma (Business Translator)

About the role

We are seeking a Technical Life-sciences Consultant driving AI led business transformations for Fortune 50 Life-sciences clients in New York and New Jersey, using enterprise-scale data and platform architectures on AWS and Databricks.

Responsibilities

• Drive Senior client workshops, problem framing, solution framing
• Engage with business and technical teams to align architecture with requirements
• Support RFP/RFI responses and architectural evaluations
• Define and enforce data modelling, metadata, lineage, and quality standards
• Implement CI/CD pipelines and monitoring frameworks
• Evaluate technology options and recommend long-term architectural strategies
• Translate business and analytical requirements into scalable data models
• Assess current-state data architectures and define future-state models
• Design scalable data models for analytical and operational workloads
• Strong understanding of metadata, lineage, data quality, and governance frameworks
• Familiarity with distributed compute paradigms and cloud-native modeling patterns

Qualifications

• Core Technical Expertise: 10+ years in AI, software development, data engineering, or data architecture; 5+ years in life-sciences consulting
• Experience with Databricks, dbt Core/Cloud, Python, Spark, SQL, distributed compute paradigms (in-memory, distributed, MPP), Data Vault 2.0 experience (including automate_dv)
• Deep awareness with AWS services (S3, Glue, Redshift, EMR, DynamoDB, Lambda, Athena, Kinesis)
• Experience leading architecture across multi-team, onsite/offshore delivery models
• Executive presence to drive VP, Exec Director level meetings, steer-cos independently
• Experience designing and deploying dashboards and self-service analytics on relational and non-relational databases
• Experience with cloud migration patterns and modern data platform design
• Experience defining data standards, metadata models, lineage, quality rules, and governance patterns
• Experience implementing logging, monitoring, observability, and cost-optimization frameworks
• Experience driving adoption of enterprise data platforms and modern data practices

Pay

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

Schedule

A reasonable estimate of the current range Up to $150,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.

Benefits

• Health, dental, vision, life insurance, and disability plans
• 11 paid holidays
• 12 weeks of Parental Leave
• Free time PTO policy
• Company 401(k) Plan after 30 days of employment

Equal Employment Opportunity

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.