Biotech Pharma Developer Jobs

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11d ago

Senior Specialist: Data Engineer for Upstream Biologics

Merck Boston, MA

Boston, MA

11d ago

$117k - $184k/yr Full time Python Senior Analytics

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Job Description

What Merck Offers

Join a collaborative, multidisciplinary team in Boston as a Senior Specialist, Data Engineer for Upstream Biologics. This onsite role with hybrid flexibility provides comprehensive benefits, a strong emphasis on inclusion, and opportunities to influence upstream analytics and process development. The position offers a salary range of USD 117,000 to 184,200 per year and requires a PhD with at least two years of experience. You will work within a dynamic, integrated environment that values scientific curiosity and cross-functional partnership.

Responsibilities

Design and maintain scalable data pipelines to ingest experimental and process data from upstream biologics source systems.
Provide analysis-ready datasets for upstream digital initiatives, including process characterization models, scale-up predictions, multivariate analytics, and high throughput workflows.
Map instrument outputs and experimental results to ensure ontology alignment and interoperability across data sources.
Create and maintain visualizations, dashboards, and reports that enable scientists to explore data across runs, molecules, and scales.
Support system of record standards by promoting consistent data entry practices.
Identify data quality issues, metadata gaps, and inconsistencies, contributing to continuous improvement of upstream data capture practices.
Collaborate with upstream process development scientists, analytical scientists, and engineers to translate evolving data needs into pipeline requirements.
Coordinate with adjacent domain engineers to ensure seamless data handoffs at domain boundaries.
Maintain and version all pipeline code in GitHub, following team standards for code review, documentation, and deployment.
Demonstrate strong interpersonal, communication, and collaboration skills within a dynamic, multidisciplinary team.
Model and promote inclusion, fostering a supportive culture where all can thrive.

Requirements

Proficiency in Python or R programming.
Experience with development environments such as Jupyter, Posit/RStudio, or VS Code.
Strong SQL skills with hands-on experience writing and optimizing queries for relational databases and data warehouses.
Experience with ETL/ELT processes and building data pipelines in a scientific or pharmaceutical context.
Familiarity with version control systems (Git/GitHub) and collaborative software development practices.
Ability to work in a team environment with cross-functional interactions.
Motivation to learn new skills, willingness to take on new challenges, and scientific curiosity.

Technologies

Python, R, Jupyter, Posit/RStudio, VS Code, SQL, Git, GitHub
Databricks, Delta Lake, Streamlit, Shiny, PowerBI, Spotfire, Tableau
Allotrope Simple Model, ISA-88, OPC-UA

Benefits

Comprehensive medical, dental, and vision coverage for you and your family
Retirement benefits including a 401(k) plan
Paid holidays
Paid vacation
Paid compassionate and sick leave

Required and Preferred Skills

Analytical acumen
Biopharmaceutical industry familiarity
Data modeling and data visualization proficiency
Engineering principles and equipment qualification awareness
Pharmaceutical sciences and NPI exposure
Molecular and cell culture understanding

Current Employees apply HERE
Current Contingent Workers apply HERE

Additional Details

Location: Boston, MA, onsite with hybrid options
Salary: USD 117,000 – 184,200 per year
Education required: PhD
Minimum experience: 2 years
Requisition ID: R404620
Flexible work arrangements: Hybrid
Employee status: Regular

Accommodations and Compliance

US and Puerto Rico residents: accommodations available during the application or hiring process.
San Francisco residents: fair chance considerations apply where required by law.
Los Angeles residents: hiring practices comply with applicable state and local laws.

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