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


  • Investigate how to integrate with scientific instruments and software to extract data from the instrument.

  • Investigate how to extract information from the instrument files (excel, pdf and sometimes vendor proprietary formats)

  • Interact and build a relationship with the instrument and software vendors to acquire test licenses and documentation.

  • Design and maintain data models for common classes of the instrument, and CRO data sets; harmonize the vendor-specific or vendor proprietary terms into abstract terms in the data models.

  • Deeply understand the pharmaceutical and biotech scientific workflow and data flow, namely, how scientists use data systems (LIMS, ELN, integration&visualization tools, biologic registration tools) and how these data systems are developed, configured and eventually complement scientists lab workflows and allow them to access their data efficiently and effectively.

  • Design and create a specification for data flow, for example, the logic around validation, metadata extraction, integration with ELN/LIMS/sample management and other systems.

  • Install and configure our Data Integration Platform.

  • Educate customers on the use and configuration of the Data Integration Platform.

  • Work effectively within a team, especially with software engineers, product managers, and marketing.

  • Work closely with the software development team to suggest and aid in future versions of the Data Integration Platform.

  • Other ad hoc duties as required.

Career Opportunities

After you gain experience in this role, you can grow your career in multiple exciting directions:

  • 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

  • Product Management

  • Data Engineer / Scientist

  • Build data pipelines using Python and other scripting languages

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

Our company is the perfect place for you experience a vibrant software culture, leverage your domain expertise in Life Sciences and bring your career to the next level or direction!


  • BSc, MSc or PhD in Chemistry/Chemical Engineering/Biological Science/Bioinformatics.

  • 3+ years of hands-on experience of performing R&D in a Pharmaceutical/Biotech company and familiar with common instruments (how they are used and the datasets) in an industrial environment.

  • 3+ years of experience working in a Pharmaceutical/Biotech environment within the function of R&D IT, Informatics or Business Analyst for R&D.

  • Excellent presentation skills and passionate about client communication

  • A proven track record working as part of a team delivering quality solutions.

  • Knowledge of database, data/information management and web architectures preferable.

  • Motivated, ambitious and self-starter.

  • Willing to travel as required by the job.