Laboratory Data Engineer

The mission of Artisan Biotechnologies is to engineer cell therapeutics that significantly improve patient outcomes. To meet this mission, we are building a world-leading cell engineering foundry and partnering strategy that scales to address the complexity required by the largest indications. We will know we have succeeded when we can reliably and rapidly operate our foundry to generate cell products that consistently produce positive outcomes in patients.  


At Artisan, we strive to recruit, hire, develop, and promote motivated, committed, and talented individuals. All employees are expected to support our mission as well as our commitment to build a culture driven by collaboration, delivering on promises, experimentation and data, welcoming challenges, and celebrating innovation. 


Essential Job Functions

The Laboratory Data Engineer will be responsible for implementation, configuration, administration, and communication of laboratory data solutions. The successful candidate will work collaboratively with R&D scientists, software engineers, and data scientists to spearhead creative approaches to data management and engineering. Come join a dedicated team that is using a data-based approach to develop transformative, engineered cell therapies with the latest gene editing technology!

Configure and guide development of a laboratory information management system (LIMS) to support research and development 

Collaborate with researchers to design and construct fit-for-purpose data management systems

Assist with development of a data warehouse to facilitate analyses

Serve as a liaison between molecular biologists and engineers

Plan development roadmaps and give accurate time estimates based on system requirements

Maintain laboratory data management systems, tackling issues as they arise

Model data flows, documenting processes in written procedures

Write scripts and develop custom front end interfaces as able

Convey energy, accuracy and attention to detail, and a passion for creating therapeutics for improving patient outcomes 

Education & Experience

M.S in a scientific field or an additional 4 years’ industry experience

Minimum 4 years professional experience in a life science organization

Expertise in designing, implementing, and administering a LIMS   

Experience effectively collaborating with biologists and software engineers

Knowledge of molecular biology, genomics, and next generation sequencing (NGS)

Familiarity with data structures, relational databases, and APIs

Familiarity with software development fundamentals

Programming experience (JavaScript, Python) desired

Computer system validation experience desired

Outstanding communication skills, including research report writing, code documentation, and oral presentation, with excellent attention to detail

Supervisory Responsibilities: 



Physical Requirements:  

Sitting for long periods of time

Bending and stooping

Lifting of 20lbs.  


Salary Requirements: 

      Band 5


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