Senior Software Engineer, Data

BenchSci
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer

Senior Software Engineer - Data (Basé à London)

Senior Software Engineer (GO/PHP)

Senior Software Engineer - AI (Basé à London)

Senior Software Engineer (Matching) (Basé à London)

Senior Software Engineers

We are looking for aSenior Data Engineerto join ourKnowledge Representation Team! Reporting to the team’s Engineering Manager, you will evolve BenchSci’sKnowledge Graph, integrate public life science data into our biological ontology, iterate on data models in various data stores 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:

Degreein Software Engineering, Computer Science, or a similar area5+ years of experienceworking as a professional data engineer in industry Expertise withPythoncoding and type system Expertise in writingSQL(GQL, PostgreSQL, and BigQuery are a plus) Experience with building bothbatch and streaming ETL pipelinesusing data processing engines Experience withcloud 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 (, 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 withagile 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: An engaging remote-first culture A great compensation package that includes BenchSci equity optionsA robust vacation policy plus an additional vacation day every yearCompany closures for 14 more days throughout the yearFlex time for sick days, personal days, and religious holidaysComprehensive health and dental benefits.Annual learning & development budgetA one-time home office set-up budget to use upon joining BenchSciAn annual lifestyle spending account allowanceGenerous parental leave benefits with a top-up plan or paid time off optionsThe 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 .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 .Accessibility Accommodations:Should you require any accommodation, we will work with you to meet your needs. Please reach out to .#LI-Remote

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.