AI/ML Team Leader (m/f/d)
⚲ Kraków, Dębniki
Do uzgodnienia
Opis stanowiska
Nasze wymagania:
Master or PhD degree in machine learning, computer science, cheminformatics, bioinformatics, computational chemistry, statistics, physics or a related discipline.
At least 7 years of relevant experience in AI/ML, ideally in drug discovery, drug development, computational chemistry, bioinformatics in a pharmaceutical, biotech or a CRO environment.
Strong knowledge of modern AI/ML, model validation and scientific software development.
Advanced Python skills with experience in scientific ML/deep-learning frameworks, GPU acceleration, Git-based workflows, Linux/Unix environments and containerization.
Experience leading multidisciplinary scientific projects and translating business or client needs into feasible AI/ML solutions.
Strong client-facing communication, mentoring, project management and stakeholder-management skills.
Fluent professional and scientific English.
Mile widziane:
Experience with LLMs, RAG pipelines, AI agents, Protein Language Models or generative AI for life sciences.
Knowledge of CADD platforms, QSAR/ADMET modelling, Omics analytics, HCS/image analysis, KNIME, Shiny/R.
Familiarity with MLOps, cloud or lakehouse architectures, data governance, GDPR, EU AI Act considerations or regulated data environments.
Experience in proposal preparation, grant writing or scientific consulting.
O projekcie:
We are looking for an AI/ML Team Leader to lead a multidisciplinary AI Team and accelerate AI-enabled preclinical drug discovery, drug development and company-wide digital transformation. The role combines scientific AI leadership, client-facing delivery, people management and practical implementation of AI/ML and automation across the discovery value chain. You will be responsible for helping build a high-impact AI function that expands Selvita’s AI-enabled services, strengthens internal digital transformation, and delivers measurable value for pharmaceutical and biotechnology clients through scalable AI/ML solutions in preclinical R&D.
Zakres obowiązków:
Lead the design and implementation of AI/ML models and workflows for computational chemistry and bioinformatics.
Translate preclinical drug discovery and drug development challenges into practical AI tools, analytical workflows and production-ready solutions embedded in scientific processes.
Drive Selvita’s AI-driven digitalization strategy by contributing to AI-enhanced services, internal AI tools, data-driven workflows and automation across drug discovery & drug development.
Connect AI delivery with the company’s digital backbone: data platforms, compute infrastructure, governance, model validation and workflow integration.
Cooperate with drug discovery teams and clients, providing scientific input for offers, negotiations, client meetings, project planning and delivery.
Contribute to grant-funded R&D, internal IP generation and strategic AI/ML platforms.
Manage and mentor the AI/ML team: assign goals, monitor progress, provide feedback, strengthen team performance and promote best practices in ML engineering and scientific reporting.
Support AI capability building across the organization through knowledge sharing, AI Academy activities and responsible use of AI/ML and automation.
Oferujemy:
Daily cooperation and know-how exchange with experts.
Additional benefits: a prepaid lunch card, private medical care, subsidized sports card, and office fruit provision.
Internal Development initiatives, including soft & leadership skills training programs.
Recognition Program.
Employee Referral Program.
Various sports and engagement initiatives.
Support & incentive bonus for completing PhD
Master or PhD degree in machine learning, computer science, cheminformatics, bioinformatics, computational chemistry, statistics, physics or a related discipline.
At least 7 years of relevant experience in AI/ML, ideally in drug discovery, drug development, computational chemistry, bioinformatics in a pharmaceutical, biotech or a CRO environment.
Strong knowledge of modern AI/ML, model validation and scientific software development.
Advanced Python skills with experience in scientific ML/deep-learning frameworks, GPU acceleration, Git-based workflows, Linux/Unix environments and containerization.
Experience leading multidisciplinary scientific projects and translating business or client needs into feasible AI/ML solutions.
Strong client-facing communication, mentoring, project management and stakeholder-management skills.
Fluent professional and scientific English.
Mile widziane:
Experience with LLMs, RAG pipelines, AI agents, Protein Language Models or generative AI for life sciences.
Knowledge of CADD platforms, QSAR/ADMET modelling, Omics analytics, HCS/image analysis, KNIME, Shiny/R.
Familiarity with MLOps, cloud or lakehouse architectures, data governance, GDPR, EU AI Act considerations or regulated data environments.
Experience in proposal preparation, grant writing or scientific consulting.
O projekcie:
We are looking for an AI/ML Team Leader to lead a multidisciplinary AI Team and accelerate AI-enabled preclinical drug discovery, drug development and company-wide digital transformation. The role combines scientific AI leadership, client-facing delivery, people management and practical implementation of AI/ML and automation across the discovery value chain. You will be responsible for helping build a high-impact AI function that expands Selvita’s AI-enabled services, strengthens internal digital transformation, and delivers measurable value for pharmaceutical and biotechnology clients through scalable AI/ML solutions in preclinical R&D.
Zakres obowiązków:
Lead the design and implementation of AI/ML models and workflows for computational chemistry and bioinformatics.
Translate preclinical drug discovery and drug development challenges into practical AI tools, analytical workflows and production-ready solutions embedded in scientific processes.
Drive Selvita’s AI-driven digitalization strategy by contributing to AI-enhanced services, internal AI tools, data-driven workflows and automation across drug discovery & drug development.
Connect AI delivery with the company’s digital backbone: data platforms, compute infrastructure, governance, model validation and workflow integration.
Cooperate with drug discovery teams and clients, providing scientific input for offers, negotiations, client meetings, project planning and delivery.
Contribute to grant-funded R&D, internal IP generation and strategic AI/ML platforms.
Manage and mentor the AI/ML team: assign goals, monitor progress, provide feedback, strengthen team performance and promote best practices in ML engineering and scientific reporting.
Support AI capability building across the organization through knowledge sharing, AI Academy activities and responsible use of AI/ML and automation.
Oferujemy:
Daily cooperation and know-how exchange with experts.
Additional benefits: a prepaid lunch card, private medical care, subsidized sports card, and office fruit provision.
Internal Development initiatives, including soft & leadership skills training programs.
Recognition Program.
Employee Referral Program.
Various sports and engagement initiatives.
Support & incentive bonus for completing PhD
🔍 Dekoder Ogłoszenia
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Experience leading multidisciplinary scientific projects and translating business or client needs into feasible AI/ML solutions.
Oczekuje się, że będziesz nie tylko technicznie zaawansowany, ale także potrafił zarządzać ludźmi i projektami, a także rozumieć potrzeby biznesowe i przekładać je na konkretne rozwiązania.
🟡
Strong client-facing communication, mentoring, project management and stakeholder-management skills.
Poza technicznymi umiejętnościami, kluczowe są zdolności interpersonalne, w tym komunikacja z klientami, zarządzanie zespołem i interesariuszami.
🔴
Familiarity with MLOps, cloud or lakehouse architectures, data governance, GDPR, EU AI Act considerations or regulated data environments.
Chociaż te elementy są wymienione jako 'mile widziane', ich brak może być znaczącą wadą w praktyce, zwłaszcza w kontekście pracy z danymi w branży farmaceutycznej.
🔴
accelerate AI-enabled preclinical drug discovery, drug development an
Choć brzmi ambitnie, może oznaczać, że obecne procesy są powolne lub nieefektywne, a od nowego lidera oczekuje się szybkiej poprawy.