Sr. Data Engineer - Analytical Development

Scorpion Therapeutics; Boston (MA); On-site; USD 180,000 - 230,000; Full time

Job summary

Scorpion Therapeutics seeks a senior analytical leader to drive the Analytical Development digital transformation. You will own the roadmap for analytical data, design open-source extraction algorithms, and lead data analytics, predictive modeling, and dashboards using Python/R and BI tools.

You will build data platform infrastructure, supervise ETL pipelines, and collaborate with cross-functional teams to mature prototypes into production-ready tools in a fast-paced biotech environment.

Qualifications

• 11+ years in analytical environments with SQL, cloud, Python and R.
• Experience in ETL, data pre-processing, statistical concepts.
• Ability to work with Python, R, Scala, C/C++, SQL; data tooling.

Responsibilities

• Develop and maintain the AD digital transformation roadmap for analytical lab results.
• Design and maintain open-source code extraction algorithms for large databases.
• Provide technical ownership for data analytics, predictive modeling, and dashboards (Spotfire, Tableau, Power BI).
• Build and maintain core software engineering infra for data platform engineering/ops.
• Contribute to data engineering pipelines and platforms; ensure interoperability.
• Coordinate with cross-functional teams to improve shared infrastructure.
• Monitor data capture systems to identify inefficiencies and bottlenecks.
• Support R&D projects and mature POCs into production tools.

Skills

SQL

Python

R

Scala

C/C++

DevOps

Data analytics

Predictive modeling

Education

BS in CS/software engineering or related field

MS in CS/software engineering or related field

PhD in related field

Tools

Spark

Databricks

RStudio

Spotfire

MATLAB

Minitab

SQL Tools

Virtual Machines

Job description

Responsibilities

• Develop and maintain the Analytical Development (AD) digital transformation roadmap for analytical laboratory results.
• Design and maintain open-source code extraction algorithms and support large database activities.
• Provide technical ownership for digital transformation projects, including data analytics, predictive modeling, and dashboards (Spotfire, Tableau, Power BI) using open-source coding (R, Python).
• Build and maintain core software engineering infrastructure for data platform engineering/operations (data wrangling, logging, performance benchmarking, multi-platform integration).
• Contribute to data engineering/analytic pipelines and data platforms.
• Coordinate with other development teams to improve interoperability and shared infrastructure.
• Monitor data capture systems to identify inefficiencies and remove bottlenecks.
• Support internal and external R&D projects and mature POCs into production-quality tools.

Qualifications

• BS in CS/software engineering or related field with 11+ years relevant experience; or MS with 9+ years; or PhD with 3+ years.
• Minimum 8 years combined experience in analytical environments using SQL, cloud environments, AWS, Python, DevOps, and RStudio.
• ETL pipeline experience, data pre-processing, statistical concepts; ability to work in Python, R, Scala, C/C++, SQL.
• (Plus) Exposure to Spark, Databricks, data lakes, data QA tools, ML tools.
• Strong analytical software knowledge (Spotfire, Minitab, MATLAB) and experience maintaining multi-contributor open/closed-source projects.
• Highly desirable: experience implementing technology for biologics/pharmaceuticals/devices (manufacturing or support).
• Experience working with vendors/integrators/consultants.
• Ability to collaborate with cross-functional teams of developers, engineers, and scientists.