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8 дней назад

Scientific Advisor (Protein Engineering)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Netherlands/Switzerland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Scientific Advisor (Protein Engineering) (AI-guided protein optimization): Helping biopharma and biotech customers translate antibody and biotherapeutic research goals into machine-learning objectives, prepare data, and interpret protein design outputs with an accent on customer scientific advisory, assay and workflow analysis, and platform adoption. Focus on recommending project strategies, supporting go/no-go decisions, collaborating with engineering and product teams, and expanding customer impact across portfolios.

Location: Boston, United States; hybrid work

Company

hirify.global provides an AI-guided software platform for discovering and optimizing proteins for biopharma, biotech, agri-tech, food-tech, and academic applications.

What you will do

  • Advise customers on protein optimization projects suited to the hirify.global platform, primarily across biotherapeutic and antibody programs.
  • Translate scientific goals, assays, workflows, and customer data into objectives and inputs for the machine learning platform.
  • Train customers, support platform use, and collaborate with engineering to produce effective protein designs.
  • Present reports, interpret platform outputs and forecasts, and recommend project strategies and go/no-go decisions.
  • Build relationships with scientific and business stakeholders, identify expansion opportunities, and monitor customer satisfaction and impact.
  • Gather customer feedback and collaborate with product and engineering teams to guide platform development.

Requirements

  • PhD in molecular biology, bioengineering, bioinformatics, or a related field.
  • 5+ years of biopharma scientific experience in protein engineering, with a focus on antibodies.
  • Experience with biophysical and/or functional assays and deep knowledge of biopharmaceutical R&D methods, processes, and tooling.
  • Strong analytical and communication skills, including the ability to translate complex scientific concepts into actionable insights.
  • Proven ability to build relationships with scientists and business leaders.

Nice to have

  • Experience with machine learning and non-antibody protein modalities, particularly enzymes.
  • Relationship management or sales experience in biotechnology or software.
  • Proficiency in Python and data science libraries such as pandas, scikit-learn, SciPy, and Matplotlib.
  • Familiarity with SQL.

Culture & Benefits

  • Work alongside an experienced team of just under 100 people across offices in Amsterdam, Boston, and Zurich, with additional remote colleagues.
  • Competitive salary and a generous equity stake.
  • Wide range of benefits and career progression opportunities.
  • Inclusive hiring based on merit, with zero tolerance for discrimination.

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