Innovation Analyst
AI + Biology for Sustainable Ingredients
SilicoLife is a biotechnology company that harnesses the power of computational biology to sustainably produce valuable compounds through fermentation. Our proprietary technologies and expertise have been utilized by top companies in various industries for over a decade, as well as in research and development projects.
Recently, we received a Series A investment of 9.8 million euros, which is driving us towards becoming a product-focused company. This shift allows our company to exclusively focus our technology and knowledge in the creation of internal intellectual property, delivering high-value products to the high-growth supplements market.
Be part of this extraordinary journey and join us in our quest.
What's the job?
As an Innovation Analyst, you will be an integral part of our innovation team, leveraging state-of-the-art IP tools and AI pipelines to evaluate the risk associated with the technologies developed within the company. Your role will involve running Freedom to Operate (FTO) analyses using well-defined internal pipelines, conducting quick assessments of molecules to evaluate their innovation factor, market potential, and competitive landscape. You will be exposed to cutting-edge methodologies, such as Large Language Models (LLMs), for consensus information and scoring of the most promising technologies.
Responsibilities
Integrate the innovation team, using state-of-the-art IP tools (e.g., PatSnap) and AI pipelines to evaluate technological risks.
Run FTO analyses using established internal pipelines.
Conduct quick assessments of molecules to evaluate innovation factors, market potential, and competitive landscape using AI tools.
Gather business intelligence metrics and other relevant data from reliable sources.
Be exposed to advanced technologies, such as LLMs, for consensus information and technology scoring.
Possibility of learning to code and develop scripts/pipelines/workflows depending on the candidate's profile.
Benefits
Salary will be proposed considering the candidate's experience. The selected candidate will be employed by the company and will be part of an interdisciplinary team of experts in computer science, artificial intelligence, bioinformatics, systems biology, molecular biology, bioprocess engineering, protein engineering, etc.
Other benefits also include:
Flexible work schedule: great work/life balance
Extra vacation days over the 22 legally mandated
Health insurance
Flexible benefits
Participation in internal talks, company retreats and events
Fully-equipped kitchen with free treats and coffee
The selected candidate will be exposed to highly innovative projects, combining world-class science with disruptive business models to create sustainable and economically-viable solutions, addressing global challenges.
SilicoLife is an equal opportunities employer, committed to creating a diverse and inclusive workplace. We do not discriminate on the basis of race, gender, sexual orientation, religion, age, national origin, disability, or any other protected characteristic. We are dedicated to creating a workplace culture that values diversity, equity, and inclusion and that provides equal opportunities for all employees. We strive to foster a positive and supportive work environment for all, and we believe that everyone should have the opportunity to succeed, regardless of their background or identity. Our policies and practices reflect this commitment, and we are committed to treating all employees with respect and fairness.
The successful candidate should ideally possess:
High proficiency in written English and medium-level spoken English.
Previous experience with IP analysis, patent drafting, and FTO analysis (highly valued).
A background in molecular biology, biotechnology, bioinformatics, or other life-science fields (preferred but not mandatory).
Experience with LLMs and AI frameworks (a plus).
A keen eye for detail and experience in gathering business intelligence data (a plus).
Curiosity and willingness to learn new technologies and scientific areas previously unknown to you.
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