Quantitative Biologist

Arcadia Science
United States
Workplace: OnsiteFull timeUSD 150,000 - 200,000 annuallyFunction: Capital Markets, Trading & QuantExperience: 3+ yearsEducation: phdSkills: ["Rigorous experimental design","Collaboration","Science communication","Independent documentation","Reproducible practice"]

Join the Validation team to close the design–build–test–learn loop by turning complex, high-dimensional biological data into quantitative insights. You’ll design and implement Python/R software for signal processing, imaging analysis, and interpretation; build scalable pipelines; and develop statistical and machine learning models (e.g., mixed-effects, dimensionality reduction). Collaborate with bench scientists to plan rigorous experiments and publish open-access findings.

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FursaFursa
Arcadia Science
Arcadia Science
1 week ago

Quantitative Biologist

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Last checked: 6 hours agoStatus: Live

Job Summary

Join the Validation team to close the design–build–test–learn loop by turning complex, high-dimensional biological data into quantitative insights. You’ll design and implement Python/R software for signal processing, imaging analysis, and interpretation; build scalable pipelines; and develop statistical and machine learning models (e.g., mixed-effects, dimensionality reduction). Collaborate with bench scientists to plan rigorous experiments and publish open-access findings.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Capital Markets, Trading & Quant
Seniority: Mid level

Key Responsibilities

  • •Design and implement software for signal processing, image analysis, and quantitative interpretation of experimental data.
  • •Develop and maintain scalable workflows and pipelines for high-dimensional phenotypic data across diverse data types.
  • •Collaborate with experimental biologists to design statistically sound experiments before data is collected.
  • •Build and apply statistical and machine learning models to interpret complex biological datasets (including mixed-effects models and dimensionality reduction).
  • •Develop SOPs and shared infrastructure (pipelines, notebooks, documentation) to enable more quantitative work across the team.

Pay and Benefits

Salary: USD 150,000 - 200,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Ph.D. (or equivalent) in biology, bioengineering, computational biology, biophysics, cell biology, or a related field.
  • •At least 3 years of full-time relevant scientific experience post-PhD (or equivalent).
  • •Strong experimental-design foundation with hands-on experience applying statistics to biological datasets.
  • •Experience developing software for biological image analysis and working directly with experimental scientists to design, analyze, and interpret studies.
  • •Proficiency in Python and/or R for data analysis and pipeline development; experience with statistical or machine learning methods for phenotypic biological data, including spectral or image data.
Experience:3+ yearsBiologyComputational biologyBiophysicsImage analysis
Education:PhD / Doctorate in biology, bioengineering, computational biology, biophysics, cell biology (or related field)
Skills:Rigorous experimental designCollaborationScience communicationIndependent documentationReproducible practice
Languages:English
Tech Stack:PythonRSignal processingImage analysisMixed-effects modelsDimensionality reductionMachine learning

Company Brief

Arcadia Science
Arcadia Science builds and operates advanced biological research platforms and infrastructure to accelerate discovery and translation in biotechnology, offering lab automation, cell-line engineering, and data-driven experimental services for researchers and companies.
Industry: Scientific Research
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