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Latitude, Inc. Life Science Data Engineer in Boston, Massachusetts

Responsibilities

You will start as a data engineer in our delivery team, owning the prototype and implementation of a customer solution. Your responsibility includes

  • Research and prototype data acquisition strategy for scientific instruments used in the lab

  • Research and prototype file parsers for instrument output files (excel, pdf, sometimes vendor specific binary formats)

  • Build data models for scientific instruments and CRO/CDMO reports

  • Build data pipelines using Python

  • Build visualization, report and dashboards using Spotfire, Tableau, Jupyter notebook and etc.

  • Work with the customer to test and make sure the solution fulfills their requirements and solves their need

  • Coordinate project kickoff meetings; manage the customer relationship throughout the project; and conduct formal project closeout meetings

  • Facilitate internal project post-mortems to identify areas of improvement on the next implementation

During this process, you will work with delivery team lead to provide detailed estimates for the number of billable hours per implementation; manage implementation scope and transform the technical spec into agile user stories and technical tickets; develop sprint cadence plan for completing the project. You will maintain a project budget to drive decisions and ensure on-time, on-budget, and on-scope delivery.

You will communicate very closely with the rest of the delivery team, product management and engineering team to identify potential improvements to the Data Integration Platform.

As you gain experience as a data engineer, you can

  • Take on larger projects that have a more complicated scope and continue to grow as a data engineer.

  • Take on more platform and product features and continue to grow into a software engineer.

  • Take on more responsibility in pre-sales as Solution Architect. In this role, you will

  • Work closely with the sales to understand Life Sciences companies? need for data collection, data integration, data management, and data science.

  • Design and architect the solution using our Data Integration Platform.

  • Create and negotiate Statement of Work

  • Perform pre-sales demo for Life Science companies

  • Perform pre-sales investigations and prototypes of data sources, data models

You will be expected to travel to customer sites when needed (10-15%, much of which is local)

Requirements

  • B.S. or M.S. degree with a scientific-focused curriculum such as chemistry, chemical engineering, biology, biomedical engineering, physics and etc.

  • 3+ years experience working in the lab environments at pharmaceutical and/or biotech industry

  • Proficient with Python

  • Proficient with SQL and Elasticsearch

  • Experience with tools like Spotfire, Tableau, Jupyter notebook

  • Excellent communications skills, attention to details, and the confidence to take control of project delivery

  • Ability to understand a highly technical product and communicate with the product management and engineering team effectively

  • Strong project and account management skills

  • Strong interpersonal and proactive problem-solving skills

  • Ability to think creatively on how to solve projects risks without reducing quality

  • Team player and ability to roll up your sleeves and do what it takes to make the team successful

Benefits

  • Ability to choose and craft the next step in your career path as a Data Engineer, Software Engineer or Solution architect. Room for you to explore your interest, establish your skillset and tailor your direction based on your passion and interest.

  • Professional development fund for you to gain relevant certificate such as AWS Solution Architect certificate and etc.

  • Competitive salary and equity and in a fast-growing company

  • Comprehensive Medical, Dental and Vision coverage

  • Generous paid time off (PTO)

  • Catered team lunch every Wednesday and a variety of free snacks

  • Convenient location in Boston Downtown Crossing area; close to the T (red/orange/green/blue line) and South Station

  • Open office environment for maximum collaboration

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