Technical Life Sciences Consultant (AI & Data Platforms)

UNICITEC INC.

United States

29 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$120,000.0 - $150,000.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Business Analytics Applications Cloud Computing Data Architecture Information Engineering Data Governance Data Infrastructure Extract Transform Load (ETL) Data Systems Data Vault Modeling

+15 more

DevOps Distributed Systems Amazon DynamoDB Python (Programming Language) Metadata Meta-Data Management Standard Sql Software Engineering SQL Databases Enterprise Data Management Apache 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.