WhiteLab Genomics

AI for genomic medicines
Last updated:
February 1, 2026
Company details
HQ
HEADCOUNT
25-99
ORG TYPE
Startup
SECTOR
Healthcare & Life Sciences
About the company
WhiteLab Genomics is a techbio company building AI-driven tools used in genomic medicine R&D, including vector and payload design work for gene and cell therapy. The company operates across multiple hubs and markets itself as a partner for research and development teams. Public materials also position WhiteLab Genomics as part of the Y Combinator network and as an active recruiter across scientific, engineering, and people roles.
Locations and presence
WhiteLab Genomics lists hubs in Paris, Boston, and Montréal. Most publicly advertised roles and internships are tied to Paris with a few days of remote work.
Palpable Score
65.9
/ 100
WhiteLab Genomics gives early-career candidates real entry points through internships, plus some unusually concrete interview loops for those roles. Scores stay mid-range because most permanent roles are not junior, salary ranges are rarely published outside internships, and public proof of early-career progression is limited.
Pillar 1: Early-career access

Score

13.0
/ 20
  • The company hires interns in more than one function, including Computational Biology and People and Culture, rather than keeping all openings senior-only.
  • WhiteLab Genomics advertises internships with meaningful scope, like building multi-omics pipelines and presenting results company-wide at the end of the placement.
  • The company’s permanent openings are mostly mid-to-senior, and at least one internship listing includes experience requirements that can narrow access for true entry-level candidates.

Pillar 2: Hiring fairness and transparency

Score

14.7
/ 20
  • The company publishes clear multi-stage interview loops for internships, including timed steps (e.g., 30-minute intro call, 45–60 minute technical, and a 2–3 hour onsite loop).
  • WhiteLab Genomics includes structured screening elements like reference checks and a behavioural assessment for at least one role, which sets expectations upfront.
  • The company has mixed candidate feedback publicly, including reports of repetitive questioning and concerns about how references were handled, which reduces confidence in consistency.

Pillar 3: Learning and support

Score

14.5
/ 20
  • The company’s careers materials spell out learning support such as regular scientific trainings, project management workshops, and Lunch and Learn sessions.
  • WhiteLab Genomics explicitly assigns senior mentorship in at least one internship, with the intern mentored by the Head of Computational Biology.
  • The company does not publicly lay out a repeatable onboarding plan, mentoring cadence, or career framework for early-career hires beyond internships.

Pillar 4: Pay fairness and stability

Score

11.5
/ 20
  • The company publishes an internship monthly pay band on at least one listing, which is better than “pay discussed later” for early-career applicants.
  • WhiteLab Genomics lists benefits like hybrid work, flexible hours, and health coverage, plus some France-specific perks on public job profiles.
  • The company rarely publishes salary ranges for permanent roles, so early-career pay fairness is hard to judge before interviews.

Pillar 5: Early-career outcomes

Score

12.2
/ 20
  • The company has strong overall employee sentiment in publicly available reviews, but the sample size is small and not broken out by early-career cohort.
  • WhiteLab Genomics shows repeat intern hiring across multiple teams, which is one of the few concrete, visible outcome signals for early-career intake.
  • The company’s LinkedIn footprint supports the picture of a growing, multi-site team, but public promotion paths, retention rates, and early-career progression timelines are not published.

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