Senior Data Scientist
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At a glance
Job overview
Terminal is hiring a Senior Data Scientist. Latica, a healthcare data company, seeks a skilled Data Engineer to standardize and reuse data across architecture to production, develop new features, and solve complex data‑oriented problems while collaborating with Backend, Data Science, Data Analysis, and Product teams.
Key focus areas include Make data standardized and reusable, from architecture to production, Develop new features and solve complex data‑oriented problems from design to implementation, and Design, implement and support robust, scalable solutions to enhance business analysis capabilities, identify gaps, and design processes to fill them.
Important skills include Data Engineering, Data Pipeline, Big Data, Cloud Formation, Python, and AWS.
Skills & qualifications
Skills
Full job description
About Latica
Latica (formerly Lynx.MD) is a visionary healthcare data company dedicated to revolutionizing medical research and innovation. Founded in 2019, Latica provides a secure and collaborative data ecosystem where life sciences organizations, healthcare providers, and researchers can harness the power of clinical and operational data to drive meaningful advancements in medicine.
Our platform leverages cutting-edge AI, computer vision, and data analytics to unlock the potential of siloed healthcare data, enabling groundbreaking discoveries while prioritizing security and privacy. Latica empowers collaboration across the healthcare ecosystem, delivering actionable insights that improve outcomes for patients, providers, and researchers alike.
About The Role At Latica, we are seeking a skilled Data Engineer to join our dynamic team. You will be responsible for making data standardized and reusable, from architecture to production, and developing new features to solve complex data-oriented problems. This role requires collaboration with various teams, including Backend, Data Science, Data Analysis, and Product, to enhance our business analysis capabilities.
What You’ll Do • Make data standardized and reusable, from architecture to production • Develop new features and solve complex data-oriented problems from design to implementation • Design, implement and support robust, scalable solutions to enhance business analysis capabilities, identify gaps, and design processes to fill them • Create complex ETLs • Collaborate with Backend, Data Science, Data Analysis and Product teams • Work with our tech stack, including Python, AWS, Elastic, Postgres, Terraform
What You’ll Bring • 5+ years of experience in Data Engineering • Experience with ETLs, data pipelines, and big data • 3+ years of experience with Python • Experience with cloud environments, particularly AWS • Experience working with medical data is an advantage • Experience with Apache Airflow or Prefect is an advantage • Experience with IaC tools such as Terraform, CloudFormation is a major advantage
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