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Trialspark // accelerating discovery of new drugs
 
Engineering, Full Time    New York    Posted: Thursday, February 11, 2021
 
   
 
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JOB DETAILS
 

Were looking for engineers to help change the future of medicine.

The biggest bottleneck in bringing new treatments to patients is the clinical trial. On average, getting a drug through the trial process takes nearly a decade & frequently costs $100M+. And the problem is only getting worse.

TrialSpark is a technology company that brings new medical treatments to patients faster. Were reimagining the clinical trial by introducing a new model, using technology to streamline every aspect of the trial. To fulfill our mission, we partner with pharma, biotech, & digital health companies to run studies faster & more efficiently.

Job Description

As Senior Data Engineer you will be responsible for TrialSparks clinical data platform. You will lead the engineering effort to ingest millions of Electronic Health Records, clean & structure this data for analytical & product use cases, & identify patients that will be served by a clinical trial. You will partner with the Data, Product, & Medical teams to set & achieve targets for data quality, & build a learning feedback loop to move the needle over time. You will evolve our data infrastructure to meet growing operational & data complexity & scale. You will become a domain expert in clinical data & its application to products & operations across the company. As a founding member of the Clinical Data team, you will play a significant role in developing the teams culture & strategy. Ultimately, you will leverage data to bring treatments to patients who may not have had access otherwise.

Responsibilities

  • Build & maintain pipelines to clean & structure complicated health data
  • Evolve infrastructure & data architecture to accommodate product needs
  • Partner with Data Analysts to assess the quality of our data & automate targeted improvements
  • Implement data privacy & security as necessary, for example by implementing de-identification of Personally Identifiable Information
  • Create tools to continuously monitor, test, & optimize our clinical data pipeline to ensure timely delivery & high quality
  • Collaborate with operational & product partners to achieve business & mission outcomes
  • Partner with our Data team to maintain & scale data warehousing & analytics as necessary (Redshift, DBT)
  • Help enforce best practices & promote testability & maintainability throughout our systems & codebase

Qualifications

  • Minimum 4 years of professional software development experience
  • Professional experience building & maintaining data pipelines (e.g. Airflow, Prefect, or Luigi)
  • Fluency in SQL & at least one other programming language
  • Strong knowledge of data modeling
  • Experience architecting data systems
  • Comfortable with Linux, Docker, & cloud technologies
  • Excellent problem solving & debugging skills
  • Strong communication skills with the ability to convey complicated systems to both technical & non-technical audiences
  • B.S. in Computer Science or related field, or equivalent experience

Nice to have

  • Experience building cross functional feedback loops
  • Experience with infrastructure as code tools (Ansible, Terraform, etc)
  • Experience performance tuning row-based (PostgreSQL) & columnar (e.g. Redshift) data stores
  • Experience working with healthcare data (Electronic Health Records, Insurance Claims, etc.)
 
 
 
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