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2 часа назад

High-throughput Data Generation to Advance ML Design (Biotech)

135 000 - 240 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Germany/Switzerland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
High-throughput Data Generation to Advance ML Design (molecular biology and ML): Developing and deploying novel high-throughput assays to measure properties of large sequence libraries and generate biological data for AI-based therapeutic molecule design with an accent on pooled sequence-to-function assays, quantitative experimentation, and complex data analysis. Focus on building multiplexed assays in vitro, in cells, and in vivo, analyzing rich datasets, and collaborating across biology, ML engineering, data engineering, and translational science.

Location: Onsite at the lab in Palo Alto, California, United States. Availability to collaborate with team members across the US and Europe, with meetings starting at 8am PT. Travel several times a year for retreats and business events is expected.

Salary: $135K–$240K annually, plus bonus and equity.

Company

hirify.global develops biological software and AI models for the rational design of therapeutic molecules and broadly accessible medicines.

What you will do

  • Develop and deploy novel high-throughput assays for measuring properties of large sequence libraries.
  • Develop and execute pooled sequence-to-function assays in vitro, in cells, and in vivo.
  • Use chemical and biological insights with data-driven optimization to maximize assay utility.
  • Generate, analyze, and communicate biological datasets that improve AI-based molecular design.
  • Collaborate with biologists, machine learning and data engineers, and translational experts.

Requirements

  • PhD and 4+ years of post-PhD experience in startup, industry, or research settings.
  • Strong foundation in molecular and cellular biology theory and techniques.
  • Experience building highly multiplexed assays with mammalian cells, including large functional screens or single-cell omics.
  • Scientific programming, preferably in Python, including analysis and visualization of complex data.
  • Willingness to work onsite at the Palo Alto lab and collaborate across US and European time zones.
  • English communication sufficient for collaboration with international team members.

Nice to have

  • Experience with mammalian synthetic biology, especially cell therapy applications.
  • Knowledge of RNA biology, biochemistry, and biologics drug development.
  • Understanding of Illumina, Oxford Nanopore, and PacBio sequencing platforms, including library preparation and data analysis.
  • Experience generating and analyzing large omics datasets using sequencing or mass spectrometry.

Culture & Benefits

  • Collaborative, antedisciplinary environment focused on growth, learning, and discovery.
  • 30 days of paid vacation per year.
  • Comprehensive health insurance for US-based employees.
  • 401(k) with company match for US-based employees; Direktversicherung for German-based employees.
  • Quarterly company-wide retreats, monthly wellness benefit, learning and development budget, and a buddy onboarding program.
  • Budget for multiple annual visits to offices in Berlin, Palo Alto, or Switzerland.

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