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Scientist , Discovery

Job in Cambridge, Middlesex County, Massachusetts, 02140, USA
Listing for: Basecamp Research
Full Time position
Listed on 2026-10-17
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist
Salary/Wage Range or Industry Benchmark: 110000 - 140000 USD Yearly USD 110000.00 140000.00 YEAR
Job Description & How to Apply Below
Position: Scientist I, Discovery

Basecamp Research is building frontier AI for therapeutic design. We believe the future of medicine lies in reprogramming the body to repair itself, and we design the models and the medicines to teach it how.

Our EDEN models are trained on Base Data, the world's largest proprietary genomic dataset, with over 10B genes collected through partnerships in more than 30 countries across all seven continents. This gives our AI models access to genetic diversity that doesn't exist in public databases, and enables EDEN to design cell and gene therapies, enzymes, and peptides directly from information about a disease.

In September 2026 we closed an oversubscribed $140M Series C led by S32, with participation from NVIDIA, Anthropic's Anthology Fund, Catalio, European Tech Collective, Firebrand River Capital, King Philanthropies, NATO Innovation Fund, NVentures (NVIDIA's venture arm), Redalpine, Rockefeller Foundation, Singular, Sovereign AI and True Ventures. We have offices and labs in London and Boston, we partner with biopharma companies and academic institutions worldwide, and our work has been recognised by Fast Company's Top 10 Most Innovative Companies in Biotech, the FT-backed Sifted AI100 list of Europe's leading AI startups as well as Barclays Eagle Labs Ones to watch, AI100.

At Basecamp Research, we pride ourselves on being a lean collaborative and global team with extremely specialist and unique skills. Our biologists, engineers, ML scientists and field explorers are united by a sense of adventure and the belief that AI, biology and data, will result in new medicines for patients who have few options today.

The Role

We are seeking a highly capable and proactive Scientist I to join our Cambridge, MA team. In this role, you will leverage our proprietary biodiversity knowledge to develop transformative solutions in gene editing and cellular engineering.

You are an energetic and highly motivated scientist with broad experience in gene editing, NGS assay development, and protein engineering. You're comfortable with cutting-edge tools in molecular biology, cellular engineering, and high-throughput screening, with demonstrated expertise in developing and product ionizing new assays. This is a collaborative position working closely with our Data Science and AI teams to tackle some of the most exciting and unique challenges in the field.

Key Responsibilities

Contribute to new methods for discovery and engineering of novel gene editing tools. You will work closely with other team members.

Responsibilities include:

  • Contribute to strategy for design, build, test cycles of novel protein enzymes, with a strong emphasis on discovery, validation, and engineering of novel gene editing tools;
  • Build and screen plasmid libraries, and develop the cloning workflows that let us do it at scale;
  • Quantify editing outcomes using ddPCR, qPCR, flow-cytometry and NGS readouts.
  • Optimise hits for activity and specificity using human primary cells and cell lines to develop leads for therapeutic development;
  • Contribute to an open and high-integrity scientific culture at Basecamp Research;
  • Establish strong documentation practices and lab SOPs as a founding member of the lab team.
Required Skills and Experience
  • A PhD in molecular biology, biochemistry, genetics, bioengineering, or a life-sciences related field, or an MSc with equivalent hands-on laboratory experience.
  • Experience with gene editing, NGS assay development, protein engineering and cell therapy;
  • Experience with high-throughput methods of cloning and producing DNA constructs for cellular screening;
  • Experience with mammalian cell culture, transfection, and cell-line generation;
  • Knowledge of emerging technologies in gene editing and on/off-target analytics that enable…
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