Basecamp Research

Biodiversity genomics platform
Last updated:
January 24, 2026
Company details
HQ
HEADCOUNT
25-99
ORG TYPE
Startup
SECTOR
Healthcare & Life Sciences
About the company
Basecamp Research is a biotechnology and AI company focused on building large, proprietary biological datasets and training foundation models to design proteins and biological systems. The company talks publicly about running a large biodiscovery programme through biodiversity partnerships across dozens of countries. Recent company communications highlight the EDEN family of models and work in gene editing and programmable gene insertion. Basecamp Research was founded in 2019 and operates across both the UK and the US.
Locations and presence
Basecamp Research lists London as headquarters, with a London office address published on the company website. Job postings also reference a Cambridge, Massachusetts lab and office and frame some roles as on-site there.
Palpable Score
60.4
/ 100
Basecamp Research looks like a strong place to learn once hired, with credible signals of supportive teams and cross-disciplinary work. The score is held back by limited entry-level access in current hiring and patchy public detail on early-career progression and pay ranges across roles.
Pillar 1: Early-career access

Score

7.0
/ 20
  • The company’s current visible openings skew toward specialist and mid-to-senior hiring, including roles labelled Senior and postings with multi-year experience requirements.
  • Basecamp Research has advertised at least one internship track publicly, including a Bioinformatics Intern call-out for the Genomics Team, which creates a real early-career entry point even though details are hard to access without the gated careers portal.
  • The company offers a Scientist I/II role that can be open to 0+ years post-PhD, but that pathway is still limited to advanced-degree candidates rather than broad graduate access.
Pillar 2: Hiring fairness and transparency

Score

14.8
/ 20
  • The company has publicly reported multi-stage interview structures in candidate accounts, including three rounds and a roughly three-week process for some roles.
  • Basecamp Research includes concrete job constraints in postings, such as on-site requirements for lab roles, which reduces surprise late in process.
  • The company does not publish a consistently accessible, role-by-role interview process overview because key job pages sit behind a careers portal that blocks easy review, limiting transparency for first-time applicants.
Pillar 3: Learning and support

Score

13.8
/ 20
  • The company has credible employee feedback describing substantial skills growth across cloud, data engineering, bioinformatics, and machine learning within a supportive team.
  • Basecamp Research frames lab roles as tightly connected to computational biology and deep learning teams, which is a strong learning setup for early-career scientists who want cross-functional exposure.
  • The company does not publicly spell out repeatable onboarding mechanics like a structured ramp plan, buddying, or review cadence, so support quality is hard to verify across teams.
Pillar 4: Pay fairness and stability

Score

13.8
/ 20
  • The company publishes a clear base pay range for at least some roles, such as People and Operations Partner in the US, alongside equity language.
  • Basecamp Research lists a benefits set in US postings that includes comprehensive medical cover, 401(k), and enhanced parental policy, which supports stability for early-career hires who land those roles.
  • The company does not consistently publish salary ranges across the wider set of roles, and public salary data elsewhere is based on small samples, which caps confidence on pay fairness for juniors.
Pillar 5: Early-career outcomes

Score

11.0
/ 20
  • The company has at least one detailed long-tenure employee review describing a two-year stint with strong professional growth and a supportive environment, which is a positive retention and development signal.
  • Basecamp Research references major funding milestones publicly, but the company does not publish early-career outcomes like promotion timelines, intern conversion rates, or internal mobility examples.
  • The company’s LinkedIn footprint shows a modest team size and visible growth, but that does not substitute for tracked early-career progression data.
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