Sr. Software Engineer/Tech Lead, Data & AI Engineering

Ladders; United States; Remote; USD 150,000 - 188,000; Full time

Benefits offered by this job

Flexible remote work environment

Mentorship opportunities

Genomics and data science projects

Collaborative workplace

Continuous learning and development

Job summary

Ladders is seeking a Sr. Software Engineer/Tech Lead, Data & AI Engineering to lead data systems supporting R&D, analytics, and AI initiatives. Remote US-based, with strong emphasis on data architecture, governance, and scalable pipelines in biotech/pharma contexts.

The role collaborates with scientists and engineers to turn complex biological data into reliable, reusable assets, driving rapid prototyping and cross-functional partnerships across the organization.

Qualifications

• Bachelor's or Master's degree in computer science or bioinformatics preferred in a healthcare or biotech data domain.
• 8+ years of experience in data engineering and cloud data architectures such as Snowflake and AWS
• Strong background in bioinformatics, genomics, or computational biology
• Experience supporting scientific R&D with production-grade data systems
• Proficiency in Python, SQL, and frameworks such as Spark
• Knowledge of modern orchestration tools, including Airflow, dbt, and Dagster
• Experience with CI/CD for data pipelines and IaC practices

Responsibilities

• Design, build, and maintain data products for R&D and scientific workflows
• Build and maintain complex data pipelines for diverse datasets
• Apply domain knowledge to create data models and schemas
• Enforce de-identification and privacy architectures in line with HIPAA requirements
• Ensure high standards of data quality and observability across pipelines
• Collaborate with scientists and engineers to develop reusable data assets
• Drive rapid prototyping for early-stage data initiatives

Skills

Python

SQL

Spark

Airflow

dbt

Dagster

CI/CD

IaC

Education

Bachelor's or Master's in CS or bioinformatics

Tools

Snowflake

AWS

Job description

For our client, we are seeking a Sr. Software Engineer/Tech Lead, Data & AI Engineering to join the team of a leader in the Pharmaceuticals & Biotech space. This role will lead the design and delivery of production data systems that support scientific research, advanced analytics, and AI-enabled initiatives. You will partner closely with scientists, engineers, and cross-functional stakeholders to turn complex biological and clinical data into reliable, reusable data assets. The position also requires strong leadership in data architecture, governance, and engineering best practices to improve quality, scalability, and speed across R&D workflows.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $150,400 – $188,000 annually

Responsibilities

• Design, build, and maintain data products for R&D and scientific workflows


• Build and maintain complex data pipelines for diverse datasets


• Apply domain knowledge to create data models and schemas


• Enforce de-identification and privacy architectures in line with HIPAA requirements


• Ensure high standards of data quality and observability across pipelines


• Collaborate with scientists and engineers to develop reusable data assets


• Drive rapid prototyping for early-stage data initiatives

Qualifications

• Bachelor's or Master's degree in computer science or bioinformatics preferred in a healthcare or biotech data domain


• 8+ years of experience in data engineering and cloud data architectures such as Snowflake and AWS


• Strong background in bioinformatics, genomics, or computational biology


• Experience supporting scientific R&D with production-grade data systems


• Proficiency in Python, SQL, and frameworks such as Spark


• Knowledge of modern orchestration tools, including Airflow, dbt, and Dagster


• Experience with CI/CD for data pipelines and IaC practices

Benefits

• Flexible remote work environment


• Opportunities for mentorship and knowledge sharing


• Access to innovative projects in genomics and data science


• A collaborative workplace with diverse teams and specialists


• Supportive of continuous learning and development in cutting-edge technologies

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.