Data Engineer/Senior Data Engineer

Clinical-stage oncology biotech company pioneering novel approaches to treating cancer by targeting chromosomal instability (CIN)
$150,000 - $175,000
Data
Senior Software Engineer
Hybrid
11 - 50 Employees
5+ years of experience
Biotech · Healthcare

Description For Data Engineer/Senior Data Engineer

Volastra Therapeutics is a cutting-edge clinical-stage oncology biotech company based in New York City, focused on revolutionizing cancer treatment through targeting chromosomal instability (CIN). Founded in 2019, the company has rapidly evolved to support ongoing discovery efforts and clinical initiatives.

The company's pipeline features two groundbreaking KIF18A inhibitors: VLS-1488, which entered clinical trials in Q4 2023, and Sovilnesib, re-entered trials in Q2 2024. Both have received FDA Fast-Track Designation, highlighting their potential impact in treating advanced cancers.

As a Data Engineer/Senior Data Engineer, you'll be integral to Volastra's mission, reporting to the Head of Data Science. You'll be responsible for designing and implementing sophisticated data infrastructure that enables researchers to analyze complex multimodal datasets, identify therapeutic targets, and optimize patient selection strategies.

The role combines technical expertise with strategic thinking, requiring you to build and maintain scalable data pipelines, develop analysis dashboards, and implement robust data warehouse architecture. You'll work with cutting-edge technologies including Databricks, AWS, and various bioinformatics tools, handling everything from high-throughput imaging to next-gen 'omics datasets.

Volastra offers a dynamic, fast-paced environment with significant opportunities for professional growth. The company is backed by prestigious venture firms and has established partnerships with oncology leaders. Located in West Harlem, NYC, you'll be part of a highly experienced team supported by a world-class advisory board, with the flexibility of hybrid work arrangements.

This role is perfect for someone who combines strong technical skills with excellent communication abilities, as you'll be collaborating across teams while maintaining high standards for data architecture and infrastructure. Your work will directly impact the company's mission to develop innovative cancer treatments, making this an opportunity to contribute to potentially life-changing medical advances.

Last updated 12 minutes ago

Responsibilities For Data Engineer/Senior Data Engineer

  • Design, build, and maintain scalable data pipelines and ETL processes for biological data
  • Design, build, and maintain analysis dashboards for researcher insights
  • Develop and implement data warehouse architecture
  • Collaborate with cross-functional teams to understand data requirements
  • Create and maintain documentation for data systems
  • Optimize data infrastructure for performance, cost, and reliability
  • Communicate key findings to scientific and leadership teams
  • Educate researchers on data management best practices
  • Contribute to building a culture of technical excellence

Requirements For Data Engineer/Senior Data Engineer

Python
  • B.S. in Computer Science or related discipline
  • 5+ years of experience in data engineering
  • Strong programming skills in Python, R, SQL, and bash scripting
  • 3+ years of experience with cloud computing, preferably Databricks and AWS
  • Experience with ETL/ELT pipelines
  • Experience working with images and 'omics data types
  • Experience in designing cloud-based data analysis tools and dashboards
  • Strong problem-solving skills
  • Excellent communication skills

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