8 дней назад
Scientific Advisor (Protein Engineering)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 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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