Director of Data Engineering
London, England
BenchSci
BenchSci is a world leader in AI solutions for preclinical R&D. Using proprietary technology, we help decode the complexity of biomedical research.
BenchSci’s vision is to bring novel medicine to patients 50% faster by 2025. We’re achieving it by empowering scientists with the world’s most advanced biomedical artificial intelligence. Backed by F-Prime, Gradient Ventures (Google’s AI fund), and Inovia Capital, our platform accelerates science at 15 top-20 pharmaceutical companies and over 4,300 leading research centers worldwide. We’re a remote-first company recognized for our impact and culture as a Deloitte Tech Fast 50TM, CIX Top 10 Growth, Great Place to Work®, and top-ranked organization on Glassdoor. Learn more at www.benchsci.com.
We are looking for a seasoned Director of Data Engineering, who lives and breathes tackling data challenges to join our growing team. This is a challenging, impactful, and highly collaborative position. Reporting to the Sr. Director of Data Engineering, Machine Learning, and Bioinformatics, you will be responsible for spearheading our Data ingestion and modeling initiatives, working across a wide variety of biomedical data, and helping the team to extract scientific insights.
You will help the teams to translate the platform vision and define the direction to build, validate, productionize, and maintain BenchSci’s Data Pipeline. You will play a highly collaborative role to bring together the various projects data is involved in, including working BenchSci’s Machine Learning teams, Bioinformatics team, R&D team, and our teams of scientists.
Our Culture:We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focus, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
Diversity, Equity, and Inclusion:We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
Accessibility Accommodations:BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
#LI-Remote
We are looking for a seasoned Director of Data Engineering, who lives and breathes tackling data challenges to join our growing team. This is a challenging, impactful, and highly collaborative position. Reporting to the Sr. Director of Data Engineering, Machine Learning, and Bioinformatics, you will be responsible for spearheading our Data ingestion and modeling initiatives, working across a wide variety of biomedical data, and helping the team to extract scientific insights.
You will help the teams to translate the platform vision and define the direction to build, validate, productionize, and maintain BenchSci’s Data Pipeline. You will play a highly collaborative role to bring together the various projects data is involved in, including working BenchSci’s Machine Learning teams, Bioinformatics team, R&D team, and our teams of scientists.
You will:
- Develop strategy and contribute to the roadmap for our Data teams that ladder up to the wider company strategy
- Collaborate with Product, Machine Learning, Project, and Software teams to establish actionable strategies related to the implementation of our data capture, ingestion, and modeling for delivery in a knowledge graph
- Partner with key stakeholders across the Platform Stream including the Chief Science Officer, Chief Data Officer, and other representatives from science, bioinformatics, data engineering, as well as product management to plan, prioritize, and execute on updating and launching data initiatives in a cycle of rapid MVP testing followed by productionization following successful assessment
- Lead & Grow the Data Engineering team: Grow BenchSci’s Data Engineering team, set priorities, timelines, and performance metrics as the organization scales and the number of engineers and engineering managers continues to grow
- Provide Technical Leadership: be able to speak the language of engineering, have the ability to dive into a problem, and help the Engineering managers reach decisions with the data available
- People first leadership: you will be directly responsible for the leadership of your engineering managers and will help them to grow and be successful in their role of managing the data teams. You will have an ability to empathize, lead with a people-first mindset, and be genuinely committed to providing thoughtful and intentional mentorship
- Continuous monitoring and improvement of data pipeline performance
You have:
- A proven track record of 5+ years in leading engineering teams to deliver exceptional user and business value
- Demonstrated ability in developing, deploying, and maintaining data-focused projects and products
- Exceptional written and verbal communication skills
- Degree in Software Engineering, Computer Science, or equivalent
Our Culture:We believe culture is critical to success and invest accordingly. We live and promote our FASTT values of focus, advancement with speed, tenacity, and transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
Diversity, Equity, and Inclusion:We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. To learn more, read about our DEI initiatives.
Accessibility Accommodations:BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
#LI-Remote
Tags: Computer Science Engineering Machine Learning R R&D Research Testing
Perks/benefits: Career development Competitive pay Equity Health care Parental leave Startup environment Wellness
Regions:
Remote/Anywhere
Europe
Country:
United Kingdom
Job stats:
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Categories:
Engineering Jobs
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