Full-Time

Senior Software Engineer

Data

Confirmed live in the last 24 hours

BenchSci

BenchSci

201-500 employees

AI-driven platform for preclinical research

AI & Machine Learning
Biotechnology

Senior

Remote in UK

Category
Backend Engineering
Software QA & Testing
Software Engineering
Required Skills
Agile
Python
Data Structures & Algorithms
BigQuery
SQL
Postgres
Terraform
Data Analysis
Google Cloud Platform
Requirements
  • Degree in Software Engineering, Computer Science, or a similar area
  • 5+ years of experience working as a professional software engineer, data in industry
  • Expertise with Python coding and type system
  • Expertise in writing SQL (GQL, PostgreSQL, and BigQuery are a plus)
  • Experience with building both batch and streaming ETL pipelines using data processing engines
  • Deep understanding of building Knowledge Graphs entailing biological ontologies, and leveraging graph DBs for their storage
  • Experience with cloud development (we use GCP and Terraform) including reference architectures and developing specialized stacks on cloud services
  • A strong background in data modeling, data structures, and large-scale data manipulation/transformations
  • A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you
  • You have experience working in cross-functional teams with product managers, scientists, project managers, and engineers from other disciplines (e.g., machine learning)
  • Outstanding verbal and written communication skills
  • Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders across teams
  • Experience executing as part of high-performance engineering teams using industry-standard software delivery practices
  • Proficient with agile processes (sprint planning, estimation, retros, standups, etc.)
  • Ideally, you have worked in the scientific/biological domain with scientists on your team
  • A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in tech and software/data engineering
Responsibilities
  • Scale data pipelines to allow our data to go from research to platform quickly and reliably
  • Manage sources that contain both semi-structured and unstructured biological data that contribute to the evolution of BenchSci’s Knowledge Graph
  • Integrate public life science data into the biological ontology in our Knowledge Graph
  • Collaborate with ML, Data engineers, and Science to solve complex data mining and extraction challenges, enabling us to capture and model scientific experiments and results
  • Seek out leadership opportunities and act as a Technical DRI (directly responsible individual) on multiple projects/epics
  • Design testable, scalable solutions to complex problems using the latest frameworks and tools
  • Use your experience and knowledge to help define and apply best practices for a broad platform of technologies in a cloud-based environment
  • Write and review engineering design proposals in accordance with BenchSci’s engineer best practices
  • Contribute to your team’s processes including sprint planning, task estimation, and code review
  • Work both independently and in pair-programming settings within an agile team of talented engineers to solve interesting data problems
  • Be given an unmatched opportunity for growth, and to learn from a team of outstanding engineers
  • Liaise closely with stakeholders from other functions including product and science
  • Feel challenged and engaged as you're exposed to new opportunities to require you to push yourself

BenchSci operates in the biotechnology sector, focusing on preclinical research and development. Its main product, ASCEND, uses artificial intelligence and machine learning to extract and organize data from various sources, helping scientists generate hypotheses and identify risks in their research. What makes BenchSci unique is its user-friendly platform that can be easily deployed across research organizations, making it accessible for scientists at any stage of their projects. The company's goal is to enhance research efficiency and reduce risks in preclinical experiments.

Company Stage

Series D

Total Funding

$156.6M

Headquarters

Toronto, Canada

Founded

2015

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-13%

2 year growth

1%
Simplify Jobs

Simplify's Take

What believers are saying

  • BenchSci's recent $95 million CAD Series D funding and $40 million investment from Generation Investment Management highlight strong financial backing and growth potential.
  • Recognition as a 2023 Best Workplace for Inclusion and the launch of employee resource groups reflect a positive and inclusive company culture.
  • The launch of ASCEND and new AI tools to map disease biology demonstrate BenchSci's commitment to innovation and improving R&D efficiency.

What critics are saying

  • The recent elimination of 17% of its workforce could indicate financial instability or strategic pivots that may affect employee morale.
  • The competitive landscape in AI-driven biotech solutions is intense, requiring continuous innovation to maintain a leading position.

What makes BenchSci unique

  • BenchSci leverages proprietary AI and machine learning to create a comprehensive map of disease biology, setting it apart from competitors who may not offer such advanced data integration.
  • The ASCEND platform's ability to assist in hypothesis generation, experimental approaches, and risk identification provides a unique, end-to-end solution for preclinical R&D.
  • BenchSci's focus on preclinical research and development, combined with its intuitive enterprise deployment, makes it a specialized tool for scientists and research organizations.

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Benefits

Remote-first culture

Equity options

15 days vacation + additional day every year

Unlimited flex time

Comprehensive health & dental benefits

Psychotherapist services

Annual Learning & Development budget

Home office set-up budget

Wellness, lifestyle & productivity spending account