Extract transformation rules from legacy R and PySpark code and reconcile against new platform implementations.
Identify repetitive processes and convert them into automated workflows, guardrails, or reusable tooling.
Participate in adversarial design and code reviews, identifying edge cases and pushing back on suboptimal patterns.
Collaborate with the lead engineer on design decisions and jointly own delivery velocity through paired working sessions and PR reviews.
Ensure all work meets reproducibility standards: CI on every PR, automated tests, no ad-hoc notebook-based production processes.
Requirements
Education: Bachelor's or master's degree in computer science, Data Engineering, Bioinformatics, or related field.
Experience: 5+ years of professional experience in data engineering with shipped production pipelines on AWS (S3, ECS/Fargate, Redshift or equivalent MPP).
Strong proficiency in Python and SQL with working knowledge of modern data engineering libraries.
Advanced proficiency with dbt and a workflow orchestration tool (Dagster, Airflow, or Prefect).
Data quality instinct: track record of catching silent failures, questioning data correctness assumptions, and noticing lossy joins or incomplete deliveries.
Solid understanding of lakehouse architecture patterns, ETL processes, and schema design for complex multi-modal datasets.
Ability to handle PHI-adjacent clinical data under Incyte's contractor policy (background check, compliance training, VPN access).
Willingness to work within legacy codebases (R, PySpark) to extract business rules and validate new implementations.
Excellent communication skills and ability to work in an embedded pair model with tight feedback loops.
Direct experience with Apache Iceberg, AWS Glue Catalog, or lakehouse table formats.
Comfort reading genomic data (VAF, HGVS nomenclature, VCFs, CNV/fusion semantics) or demonstrated ability to ramp on unfamiliar scientific domains quickly.
Familiarity with clinical data standards including SDTM, ADaM, and CDISC.
Pharma, clinical research, or life sciences background.
Experience with containerization (Docker/ECS) and infrastructure-as-code (CloudFormation).
Proficiency in R for interoperability with bioinformatics teams.
All applications to roles at ProPharma are personally reviewed by a member of our recruitment team. We do not rely on AI screening tools to support our hiring process. You will always receive an outcome to your application so that you have an answer from us - whether you're successful or not.
Whilst ProPharma supports remote working, we also recognise the value that comes from in person collaboration. As such, we encourage any new hires that are based within a reasonably short commute of one of our offices to work on a hybrid basis and spend some time working from t
Benefits
Health insuranceRemote work optionsEquity / stock options
Additional Information
For the past 25 years, ProPharma has improved the health and wellness of patients by providing advice and expertise that empowers biotech, med device, and pharmaceutical organizations of all sizes to confidently advance scientific breakthroughs and introduce new therapies. ProPharma partners with its clients through an advise-build-operate model across the complete product lifecycle. With deep domain expertise in regulatory sciences, clinical research solutions, quality & compliance, pharmacovigilance, medical information, and R&D technology, ProPharma offers an end-to-end suite of fully customizable consulting solutions that de-risk and accelerate our partners' most high-profile drug and device programs.
Propharmagroup · US