Senior Data Scientist/ Data Engineer

  • Full Time
  • La Jolla
  • Posted 3 months ago

Viridos

See how algae moves us

Viridos (formerly Synthetic Genomics, Inc) is a privately held biotechnology company harnessing the power of photosynthesis to create transformative solutions to mitigate climate change. Our unparalleled understanding of algal genetics and ability to translate innovation from lab to field underpins our initial deployment: a scalable platform to produce low-carbon intensity biofuels for aviation, commercial trucking, and maritime shipping. Building on a legacy of genomic firsts, our team of scientists and engineers are shaping new pathways toward a sustainable bioeconomy. We are currently looking to add a Senior Data Engineer/Scientist to join our Sensor Network and Analytics Platform (SNAP) team in La Jolla Ca.  

Responsibilities

Design and develop automated data processing pipelines for laboratory instruments using Python, SQL and AWS cloud technologies
Develop and maintain automated data availability, quality monitoring, and alerting solutions for SNAP
Collaborate with scientists on developing metrics and key performance indicators (KPIs) for assessing the health of algal cultures based on measurements collected from laboratory instruments
Develop machine learning algorithms and automated statistical inference methodologies for predicting the health of algae grown at Viridos’ farm facility in the Imperial Valley
Use best practices for code development, optimization, and unit testing
Qualifications

Master’s degree or higher in a quantitative field such as Mathematics, Statistics, Electrical Engineering, or Physics
5-15 years of work experience as Data Scientist, Data Engineer, Algorithm Developer or similar role
At least 5 years working with IoT data, traditional sensor data, or telemetry
At least 5 years working within a R&D or Advanced Technology organization
Required Skills

Intermediate to Advanced knowledge in Python
Intermediate to Advanced knowledge in SQL
Ability to design and develop ETL and data pipelines from a variety of data sources (e.g., 3rd part application web APIs, databases, text files)
Effectively communicate and collaborate with business and scientific leads from other organizations
Strong problem solving and critical thinking skills
Enjoys working with all aspects of data:  analyzing, organizing, improving quality, visualizing, and algorithm development
Passionate about delivering high quality, data solutions to further scientific research within an algal biofuels program

Tagged as: 1105

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