Genmab · 7 hours ago
Associate Director, TQS Data Engineering & Infrastructure
Princeton
Full-time
Hybrid
Senior Level, Lead/Staff, Director/Executive
$151K/yr - $227K/yr
8+ years expGenmab is an international biotechnology company dedicated to improving the lives of patients through innovative antibody therapeutics. They are seeking an Associate Director for their TQS Data Engineering & Infrastructure to create high-quality data products that integrate preclinical and clinical datasets, guiding the development of data solutions that align with business goals and support translational research.
BiotechnologyHealth CareManufacturingMedical
Responsibilities
Design, develop, and maintain scalable data products and pipelines that integrate preclinical, clinical, and translational datasets, ensuring reliability, performance, and reproducibility
Lead the end-to-end lifecycle of TQS data products, including discovery, prototyping, architecture definition, implementation, validation, and deployment in partnership with enterprise data engineering team
Architect modern data solutions using modern engineering patterns (e.g., lakehouse principles, modular pipelines, metadata-driven design) and develop fit-for-purpose data models, ETL/ELT workflows, and analytical infrastructure that meet the diverse needs of translational research
Apply data product management principles to define features, requirements, and success metrics, ensuring data products deliver measurable scientific and operational value, while also guiding and managing the performance of the enterprise engineering team responsible
Ensure data quality and governance controls are embedded throughout pipelines, including validation, lineage capture, and adherence to safety, privacy, and regulatory expectations (i.e. HIPAA, GDPR, etc.)
Partner with enterprise engineering teams to deliver scalable, automated, and maintainable infrastructure and deployment workflows, and drive data engineering excellence by enforcing best practices in code quality, CI/CD pipelines, testing, observability, and documentation within TQS’s data engineering organization
Prototype new data or analytics approaches to evaluate emerging technologies, tools, or frameworks that could enhance TQS data capabilities
Mentor team members and scientific partners on data engineering principles, modern data architecture
Qualification
Required
BS/MS/PhD in Computer Science, Bioinformatics, or a related field
8+ years of data engineering experience (Masters/PhD in a relevant field is a plus)
Proficiency in Python, R, and SQL, with proven experience building scalable, production-grade data pipelines and cloud-based architectures that support translational and clinical research workflows
Strong experience with Databricks, including Spark (PySpark, SQL), Delta Lake, and Unity Catalog; familiarity with DBT for data transformations within the Databricks ecosystem is a plus
Hands-on expertise with AWS services such as S3, Glue, Lambda, Step Functions, Data-sync, EMR, Redshift, and core IAM/networking concepts relevant to secure and compliant data engineering
Experience implementing CI/CD pipelines (GitLab or similar), data testing frameworks, and infrastructure-as-code tooling (e.g., Terraform) to ensure reliable, automated, and scalable data operations
Familiarity with common translational and clinical data types, such as flow cytometry, cytokine and biomarker assay outputs, genomics/transcriptomics (RNA-seq, DNA-seq), proteomics, and other multi-omics datasets. Scientific knowledge in oncology is a plus
Ability to support translational and clinical analysis through basic statistical methods and the development of dashboards or interactive tools (R Shiny, Streamlit, etc.) as well as business intelligence platforms such as Spotfire, Tableau, or Power BI to enable scientific decision-making
Solid understanding of data governance, security, and compliance requirements in enterprise and research environments, including privacy considerations for clinical and biomarker data
Experience working in Agile/Scrum environments, with the ability to manage sprint deliverables, collaborate effectively with cross-functional teams, and operate within iterative development cycles
Knowledge of GxP validation practices and e-system management experience in biotech/pharma R&D environments coupled with a strong understanding of how data flows across research and development stages
Benefits
401(k) Plan: 100% match on the first 6% of contributions
Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance
Voluntary Plans: Critical illness, accident, and hospital indemnity insurance
Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave
Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support
Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses
Company
Genmab
Genmab is a biotechnology company focused on developing fully human antibody therapeutics for the potential treatment of cancer.
1001-5000 employees
H1B Sponsorship
Genmab has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (10)
2023 (6)
2022 (3)
2021 (3)
2020 (1)
Funding
Current Stage
Public CompanyTotal Funding
$11.7BKey Investors
Morgan Stanley Senior FundingGlaxoSmithKlineIndex Ventures
2025-11-18Post Ipo Debt· $6B
2025-09-29Post Ipo Debt· $5.5B
2010-07-01Post Ipo Equity· $134M
Leadership Team
Anthony Pagano
Chief Financial Officer
Anthony Mancini
EVP & Chief Operating Officer
Recent News
2026-01-16
2026-01-11
Pharma Letter
2026-01-09
Company data provided by crunchbase