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Science 37


Science 37 is making the promise of virtual trials the new reality. By engaging with patients from the comfort of their own home, we provide access to patients who can never be reached by traditional site-based models. We have proven to enroll faster, retain patients at a higher rate, and reach a more representative population. Science 37 has conducted more decentralized, interventional trials than any other company, using an expansive, in-house network of telemedicine investigators and home-health nurses, who are supported by the industry’s most comprehensive, fully integrated, decentralized clinical trial platform.

Headquarter Location:
Los Angeles, California, USA
+30d

Sr Data Engineer

Science 37Raleigh, NC (Remote)
agileBachelor's degreejiranosqlsqlDesignmongodbc++postgresqlmysqllinuxjenkinspythonAWS

Science 37 is hiring a Remote Sr Data Engineer

This is a fully Remote and Work From Home (WFH) opportunity within the US

The Senior Data Engineer collaborates with motivated, energetic, and entrepreneurial individuals working together to achieve Science 37’s mission of changing the world of clinical research through patient-centered design. They have a hands-on role with the building and developing the data pipeline/platform that enables Science 37’s groundbreaking clinical research model and collaborates with Product, Data, Clinical Operations, and other relevant stakeholders to define study-specific platform requirements.

The Senior Data Engineer helps drive data democracy at Science. This position will work with our architects, software engineers, product managers, and DevOps to help design and build data solutions and architecture.  They will learn how Science 37 data is used and help make and drive the accessibility of the data that is needed, keeping in mind regulations and data privacy policies.  They will be able to use data processing libraries and tools to help the end users of our data get the insights they need.

DUTIES AND RESPONSIBILITIES

Duties include but are not limited to:

  1. Understand how to Install, configure, monitor and maintain databases in the production, development, testing environments
  2. Working with cloud vendors like AWS or GCP
  3. Working with cloud distributed file systems, data lakes, and data warehouses
  4. Creating a data pipelines to help with Internal and External analytics users
  5. Define and implement database schemas and configurations working with our development teams
  6. Optimize database performance by identifying and resolving application bottlenecks, tuning of DB queries, implementation of stored procedures, conducting performance tests, troubleshooting and integrating new elements
  7. Work with and lead development team design and implement reporting capabilities
  8. Implement solutions for database performance monitoring and tuning
  9. Recommend operational efficiencies, eliminate duplicate work efforts and remove unnecessary complexities; create and implement new procedures and workflows
  10. Process database change requests, including the creation and modification of databases, tables, views, stored procedures, triggers, jobs, etc. in accordance with change control policies
  11. Utilize an understanding of Agile management to help the team with all release and configuration related tasks around software builds into preproduction and production environments.

QUALIFICATIONS & SKILLS 

Qualifications

The following qualifications are preferred and/or equivalent applicable experience:

  1. Bachelor's degree in Computer Science or equivalent
  2. Knowledge architectural & database design skills
  3. Experience using SQL, NoSQL and Graph Databases
  4. Must have experience with AWS (other cloud providers are a plus)
  5. Scripting experience with Python or Bash required.
  6. Expertise with SQL.
  7. Have an understanding of data architecture.
  8. Deep Experience across different database platforms and tools such as MySQL, PostgreSQL, SQL Server, DynamoDB, MongoDB.
  9. Deep Experience designing and building data lake and data warehouse solutions
  10. Linux Server basic hands-on admin experience.
  11. Experience with Monitoring/Alert planning for data services.
  12. Experience with highly available database technologies like clustering, replication, mirroring, etc.
  13. Knowledge of administration, replication, backup and restore of relational databases
  14. Experience with data tools like Jupyter

Preferred Qualifications

  1. Experience in Clinical Trials and/or life science industry
  2. Experience with operational efficiency improvement initiatives
  3. Experience with CSV (Computer Systems Validation)
  4. Experience with JIRA, Confluence is a plus

Competencies

  1. Thrive in fast-paced, agile environments, and able to learn new areas quickly
  2. Broad knowledge of common infrastructure technologies such as web servers, load balancers, etc.
  3. Excellent troubleshooting skills and ability to understand complex relationships between components of multi-tiered and distributed applications.
  4. Solid understanding of load balancing and high volume, high availability environments
  5. Knowledge of SDLC and project management methodologies (JIRA experience is a plus)
  6. Able to analyze and review current functionality to determine potential areas of improvement and cost savings
  7. Ability to work independently with minimal guidance in a fast-paced environment
  8. Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers
  9. Strong work ethic with good time management with the ability to work with diverse teams and lead meetings
  10. Ability to work with all levels of the organization
  11. Experience using both SQL, NoSQL and Graph Databases
  12. Experienced in automation and automation tools such as Jenkins, Puppet, Chef, etc.
  13. Amazon: RDS, Aurora, Athena, DocumentDB, DynamoDB, Neptune,
  14. Snowflake
  15. Experience programming in Python.

REPORTING

The incumbent reports to the Manager, Data Engineering, who will also assign projects, provide general direction and guidance. Incumbent is expected to perform duties and responsibilities with minimal supervision.


Science 37 is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Science 37 values the well-being of its employees and aims to provide team members with everything they need to succeed.

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