Technical Life Sciences Consultant

CareerUS Solution; Northern, New York (KY, NY); Hybrid; USD 150,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) eligibility

Job summary

CareerUS Solution seeks a Technical Life Sciences Consultant to drive AI-led business transformations for Fortune 50 Life Sciences clients in New York and New Jersey, leveraging enterprise-scale data platforms on AWS and Databricks. You will manage client programs end-to-end, grow the business, and guide technical execution with data engineering, analytics, and AI/ML best practices.

You will partner with engineering teams, data product owners, and stakeholders to set architectural standards,

Qualifications

• 10+ years in AI, software/data engineering or data architecture.
• ,

Responsibilities

• Lead end-to-end client advisory, opportunity creation, and demand generation.
• Architect end-to-end solutions on AWS and Databricks.
• Define data modeling, metadata, lineage, quality, and governance standards.
• Review and guide solution designs for scalability, performance, and security.

Skills

AI & ML

Data engineering

Data architecture

Databricks

Python

SQL

dbt Core

Spark

AWS

Data Vault 2.0

Tools

Databricks

dbt Core

Python

Spark

SQL

AWS services

Job description

We are seeking a Technical Life Sciences Consultant to drive 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. The role is responsible for end-to-end client management, program management, business growth, and client success by ensuring solutions are scalable, secure, cost-efficient, and aligned with modern data engineering, analytics, and AI/ML best practices. The consultant will partner with engineering teams, data product owners, and business stakeholders to establish architectural standards, design cloud-native data platforms, and guide technical execution across complex programs.

Roles and ResponsibilitiesStakeholder Engagement

• Drive senior client workshops, problem framing, and solution framing
• Lead end-to-end client advisory, opportunity creation, and demand generation
• Engage with business and technical teams to align architecture with business requirements
• Support RFP and RFI responses and architectural evaluations
• Experience with Life Sciences datasets, migration, and modernization
• Understanding of operational layers L1, L2, and L3, along with ontology and context layers
• Define and enforce data modeling, metadata, lineage, and quality standards
• Implement CI/CD pipelines and monitoring frameworks
• Ensure architectures support observability, reliability, and operational excellence
• Architect end-to-end solutions on AWS and Databricks
• Define architectural standards, patterns, and best practices
• Review and guide solution designs for scalability, performance, and security
• 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
• Demonstrate strong understanding of metadata, lineage, data quality, and governance frameworks
• Be familiar with distributed compute paradigms and cloud-native modeling patterns

QualificationsCore Technical Expertise

• 10+ years of experience in AI, software development, data engineering, or data architecture
• 5+ years of Life Sciences consulting experience
• Experience driving modernization initiatives for AI products with AI foundations, governance, operational layers, and context layers
• Strong experience with Databricks, dbt Core or Cloud, Python, Spark, SQL, distributed compute paradigms including in-memory, distributed, and MPP architectures, and Data Vault 2.0 including automate_dv
• Deep knowledge of AWS services including S3, Glue, Redshift, EMR, DynamoDB, Lambda, Athena, and Kinesis

Leadership and Collaboration

• Experience leading architecture across multi-team onsite and offshore delivery models
• Executive presence to lead VP and Executive Director-level meetings and steering committees independently
• Ability to drive thought leadership, technical visioning, workshops, and client success initiatives
• Life Sciences experience preferred

AI Foundations

• Ability to translate complex analytical requirements into scalable architectures including data models, ETL pipelines, and consumption layers
• Experience designing and deploying dashboards and self-service analytics on relational and non-relational databases
• Strong understanding of CI/CD, DevOps, static code analysis, and test-driven development
• 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 enterprise data platform adoption and modern data practices

BenefitsEligible full-time employees, and hourly employees working more than 30 hours per week, are entitled to:

• Health insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• Benefits starting on the first day of employment
• 401(k) eligibility after 30 days of employment
• 11 paid holidays
• 12 weeks of parental leave
• Flexible PTO policy for vacation and sick leave

Responsibilities

• Drive senior client workshops, problem framing, and solution framing
• Lead end-to-end client advisory, opportunity creation, and demand generation
• Architect end-to-end solutions on AWS and Databricks
• Define data modeling, metadata, lineage, quality, and governance standards
• Review and guide solution designs for scalability, performance, and security

Required Skills

AWS (S3, Glue, Redshift, EMR, DynamoDB, Lambda, Athena, Kinesis) Databricks dbt Core / Cloud Python, Spark, SQL Data Vault 2.0 (automate_dv) Data Engineering & Architecture

Preferred Skills

Life Sciences Consulting AI Foundations & Governance CI/CD & DevOps