About Us

Basecamp Research is dedicated to solving major challenges in the life sciences by exploring Beyond Known Biology. Our teams build frontier AI models using BaseData, the world's largest ethically-sourced and globally representative biological dataset. Our Global Research Team collects and curates our own biological data through partnerships with more than 152 organizations in 28 countries, giving its AI access to genetic diversity that doesn't exist for models trained on public database sources. This enables Basecamp Research to design novel protein sequences and biological systems that can accelerate therapeutic research and development.

In October 2024 we closed Series B and in January 2026 finalised pre-Series C investment from NVIDIA. With hubs both in London, UK as well as Boston Massachusetts, USA and partners with biopharma companies and academic institutions worldwide, our work has been recognized with honors including Fast Company's Top 10 Most Innovative Companies in Biotech and the FT-backed Sifted AI100 list of Europe's leading AI startups.

At Basecamp Research, we pride ourselves on being a diverse, exciting, fun, and flexible place to work. Our team of biologists, engineers, ML scientists, field explorers, and operations specialists are united by a sense of adventure and the belief that nature has already designed the solutions to our planet’s greatest challenges – we just need to go out and discover them! If you feel passionate about the power of biology, data, and AI to build a better world, we’d love to hear from you.

The Role

We’re seeking an exceptional Senior Scientific Software Engineer to join our team in Boston. Your goal in this role is to accelerate the pace and quality of research in next-generation gene editing therapeutics by building computational systems that make high-impact experimental programs scalable. You’ll work closely with wet lab teams and contribute end-to-end across the research stack, from assay design through sequencing, analysis, and interpretation.

In this role, you’ll combine strong engineering fundamentals with deep biological domain knowledge to design and build computational workflows that directly support scientific progress. You will partner with researchers to define computational approaches for new assays, implement analysis workflows, and develop QC and validation methods to ensure results are reliable and interpretable. You will productionize these workflows so they run reproducibly and efficiently at high throughput. By doing so you will also be a key contributor to our wider technology and research platform.

About the Team

We have built one of the world’s largest and fastest-growing metagenomic datasets, sourced from our global expeditions and partnerships. Using this extensive resource, our team runs petascale deep learning and bioinformatics pipelines across cloud and HPC infrastructure to uncover novel enzymes, explore new biology, and solve complex biotechnology challenges for our partners. We have a strong focus on automation and scalability, enabling us to keep pace with our rapid growth and focus on high impact technical challenges.

We work closely with some of the most renowned tech companies and organisations, including NVIDIA, The Broad Institute, Microsoft and AWS.

About you

• Have extensive senior software engineering experience, including designing, architecting, and owning complex production systems
• Are an expert in Python, writing clean, efficient, well-tested, maintainable code and applying solid software engineering practices (code reviews, testing, CI/CD)
• Have a track record of leading the development of data pipelines and workflow systems, with strong understanding of distributed execution, fault tolerance, and orchestration (e.g., Dagster, Prefect, Airflow)
• Have experience with scalable compute environments (Kubernetes, HPC, containers) and can make technical trade-offs around performance and reliability
• Bring hands-on life sciences R&D experience across biotech domains such as gene editing, protein engineering, and computational biology, partnering directly with researchers to translate experimental workflows into robust engineering solutions.

Nice to Have

• A PhD (or equivalent research experience) in computational biology, bioinformatics, genetics, or related fields
• Published work or applied experience in genomics / gene editing analysis (e.g., editing outcome quantification, off-target analysis, screening)
• Experience designing robust QC/validation frameworks for assay pipelines, including controls, failure modes, and interpretability

What we can offer in return

• The opportunity to be a key member in an exciting, dynamic, and fast-moving field.
• A fun, flexible, and supportive work environment in Kendall Square, Boston, and an emphasis on collaboration and personal development.
• Unique and innovative research culture, of experimentation and global collaboration
• Company-wide Offsites and Away Days
• Competitive base compensation range ($150,000 to $250,000 depending on experience)
• Equity package
• Comprehensive medical cover
• 401K