aipythonsqlrmachine learningpytorchcomputational biologyprotein language modelsalphafoldprotein modeling
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$149к-215к/год
$160к$180кмедиана$210к
По похожим ролям (50) ~ $180к/год
На СНГ рынке: $4.2к/мес ($3.6к - $4.4к)
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Крутая вакансия
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Чётко описанная роль на стыке protein ML и разработки вакцин обещает заметный научный вклад, но титул Senior Principal выглядит необычно при минимальном требовании всего в два года опыта.
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Необычный уровеньПередовые методыВажная сфераРост и мобильностьПоддержка семьи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Protein ML Senior Principal Data Scientist (AI/Protein Modeling): Develops machine learning models and protein language model representations to predict immunogenicity, stability, and manufacturability for next-generation vaccine candidates with an accent on computational biology, structural modeling, and experimental collaboration. Focus on analyzing sequence, structure, and functional data, refining predictive models with antigen design and bench lab teams, and maintaining robust, reproducible modeling code.
Location: Waltham, MA; onsite role for US and Puerto Rico residents only.
Salary: $148,500.00–$214,500.00 annually.
Company
hirify.global is an R&D-driven biopharmaceutical company developing medicines and vaccines through immune-system research, AI, mRNA innovation, and computational science.
What you will do
Develop machine learning models predicting protein immunogenicity, stability, and manufacturability to support vaccine design.
Use and refine protein language models and foundational AI representations to identify and optimize vaccine candidates.
Analyze relationships between protein sequences, structures, and functional data to create generalizable representations across vaccine programs.
Collaborate with structural biology, protein design, antigen design, and bench lab teams to shape modeling strategy and iteratively improve model quality.
Maintain robust, reproducible, and well-documented modeling code according to best practices.
Mentor colleagues and communicate scientific findings to computational, laboratory, leadership, and external audiences.
Requirements
PhD in Computational Biology, Data Science, Applied Mathematics, Biophysics, or a closely related field.
At least 2 years of experience in an industry or academic setting.
Fluent English, both written and spoken.
Nice to have
Track record in computational biology involving protein language models, biophysics, and AI-based predictive models; experience with immunogenicity predictors is a plus.
Advanced Python, R, and SQL skills, with hands-on experience in PyTorch and AI-based structural modeling tools including AlphaFold, OpenFold, and Boltz.
Deep knowledge of protein representation models such as ESM.
Familiarity with molecular dynamics, next-generation sequencing analysis, and deep mutational scanning.
Familiarity with agentic tools such as Claude Code for automated software engineering.
Ability to communicate across computational and bench lab teams and adapt messaging for diverse audiences, including senior leadership.
Ability to mentor junior colleagues and lead collaboratively in protein modeling.
Strong problem-solving, communication, and collaboration skills across multidisciplinary teams.
Culture & Benefits
Supportive, future-focused environment centered on science, AI-driven research, smart manufacturing, and mRNA platforms.
Health and wellbeing benefits, including healthcare, prevention and wellness programs, and at least 14 weeks of gender-neutral parental leave.
Career growth through promotions, lateral moves, mentoring, and international mobility programs.
Opportunities to work across four continents and contribute to global vaccination efforts.
Rewards package with additional employee benefits.
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