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- Tasks: Join our team to enhance BenchSci’s Knowledge Graph and manage biological data.
- Company: BenchSci accelerates life-saving research with cutting-edge AI software for scientists.
- Benefits: Enjoy flexible work hours, generous vacation, health benefits, and a learning budget.
- Why this job: Be part of a mission-driven team that values growth, collaboration, and innovation.
- Qualifications: 5+ years in software engineering, expertise in Python, SQL, and cloud development required.
- Other info: Work in a diverse, inclusive culture that prioritises personal and professional development.
The predicted salary is between 72000 - 108000 £ per year.
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We are looking for a Senior Software Engineer, Data to join our Knowledge Enrichment Team ! Reporting to the team’s Engineering Manager, you will evolve BenchSci’s Knowledge Graph , integrate public life science data into our biological ontology , iterate on data models in various datastores, including Graph DB , improve internal tooling to allow data self-service, and operationalize production-grade data pipelines. As part of this role, you'll collaborate with a world-class team, experience growth and mentorship, and apply data engineering solutions to shape the future of scientific discovery.
You Will:
- 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
You Have:
- 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
Benefits and Perks:
A great compensation package that includes BenchSci equity options A robust vacation policy plus an additional vacation day every year Company closures for 14 more days throughout the year Flex time for sick days, personal days, and religious holidays Comprehensive health and dental benefits. Annual learning & development budget A one-time home office set-up budget to use upon joining BenchSci An annual lifestyle spending account allowance Generous parental leave benefits with a top-up plan or paid time off options The ability to save for your retirement coupled with a company match! About BenchSci:
BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work, and top-ranked company on Glassdoor. Our Culture:
BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture . 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. Learn more about our DEI initiatives . Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to talent@benchsci.com .
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Software Development
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Senior Software Engineer, Data (London) employer: BenchSci
Contact Detail:
BenchSci Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, Data (London)
✨Tip Number 1
Familiarise yourself with BenchSci's Knowledge Graph and the specific technologies they use, such as Graph DBs and cloud services like GCP. Understanding these tools will help you speak confidently about how you can contribute to their projects.
✨Tip Number 2
Network with current or former employees of BenchSci on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations for the Senior Software Engineer role.
✨Tip Number 3
Prepare to discuss your experience with data pipelines and ETL processes in detail. Be ready to share specific examples of challenges you've faced and how you overcame them, as this will demonstrate your problem-solving skills and technical expertise.
✨Tip Number 4
Showcase your collaborative skills by discussing past experiences where you worked in cross-functional teams. Highlight how you effectively communicated complex technical concepts to non-engineering stakeholders, as this is crucial for the role at BenchSci.
We think you need these skills to ace Senior Software Engineer, Data (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering, particularly with data. Emphasise your expertise in Python, SQL, and any experience with ETL pipelines or Knowledge Graphs, as these are key for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how it aligns with BenchSci's mission. Mention specific projects or experiences that demonstrate your ability to solve complex data challenges and collaborate with cross-functional teams.
Showcase Your Technical Skills: Include a section in your application that outlines your technical skills, especially those mentioned in the job description like cloud development (GCP, Terraform) and data modelling. This will help you stand out as a qualified candidate.
Highlight Soft Skills: BenchSci values communication and collaboration. Make sure to include examples of how you've effectively communicated complex technical concepts to non-technical stakeholders and worked within agile teams. This will demonstrate your fit for their culture.
How to prepare for a job interview at BenchSci
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in Python, SQL, and data engineering. Bring examples of past projects where you've built ETL pipelines or worked with Knowledge Graphs, as this will demonstrate your hands-on experience.
✨Understand BenchSci's Mission
Familiarise yourself with BenchSci's mission to enhance life-saving research. Being able to articulate how your role as a Senior Software Engineer, Data contributes to this mission will show your alignment with the company's values.
✨Prepare for Collaboration Questions
Since the role involves working closely with cross-functional teams, be ready to share experiences where you've successfully collaborated with product managers, scientists, or other engineers. Highlight your communication skills and ability to explain complex concepts.
✨Demonstrate a Growth Mindset
BenchSci values continuous learning and improvement. Be prepared to discuss how you stay updated with the latest technologies and your approach to personal development. This will resonate well with their culture of fostering growth.
