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.
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
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.