Technical Life Sciences Consultant (AI & Data Platforms)

UNICITEC INC.
Jackson Township, United States of America
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 150K

Job location

Jackson Township, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Business Analytics Applications
Cloud Computing
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
ETL
Data Systems
Data Vault Modeling
DevOps
Distributed Systems
Amazon DynamoDB
Python
Metadata
Meta-Data Management
Standard Sql
Software Engineering
SQL Databases
Enterprise Data Management
Spark
Data Management
Cloud Migration
Data Pipelines
Databricks

Job description

We are seeking an experienced Technical Life Sciences Consultant to lead AI-driven digital transformation initiatives for enterprise Life Sciences clients. The ideal candidate will have deep expertise in cloud-native data platforms, AI modernization, AWS, Databricks, and enterprise data architecture. This role requires strong client-facing consulting experience, technical leadership, and the ability to design scalable, secure, and high-performance data solutions., * Lead client workshops, solution architecture, and technical consulting engagements.

  • Design and implement scalable data platforms using AWS and Databricks.
  • Drive AI modernization initiatives, data platform transformation, and cloud migration projects.
  • Define enterprise architecture standards, data models, governance, metadata, lineage, and data quality frameworks.
  • Build and optimize ETL/ELT pipelines using Python, Spark, SQL, and dbt.
  • Implement CI/CD pipelines, monitoring, observability, and DevOps best practices.
  • Collaborate with business stakeholders, engineering teams, and data product owners to deliver enterprise-scale solutions.
  • Support RFP/RFI responses and provide technical leadership throughout project delivery.

Requirements

  • 10+ years of experience in AI, Software Development, Data Engineering, or Data Architecture.
  • 5+ years of consulting experience within the Life Sciences/Pharmaceutical industry.
  • Proven experience leading AI modernization and enterprise data platform initiatives.
  • Strong hands-on experience with:
  • Databricks
  • dbt Core or dbt Cloud
  • Python
  • Apache Spark
  • SQL
  • Data Vault 2.0 (including automate_dv)
  • Strong knowledge of AWS services including:
  • S3
  • Glue
  • Redshift
  • EMR
  • DynamoDB
  • Lambda
  • Athena
  • Kinesis
  • Experience with distributed computing, cloud migration, metadata management, data governance, and enterprise data modeling.
  • Excellent communication and stakeholder management skills with experience working directly with executive leadership.

Preferred Qualifications

  • Experience working with Fortune 500 Life Sciences organizations.
  • Knowledge of AI foundations, operational layers (L1/L2/L3), ontology, and contextual data models.
  • Experience with self-service analytics and modern enterprise data platforms.

Apply for this position