Applied Research Scientist

March 28

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Bioptimus

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Bioptimus is on a mission to build the first universal AI foundation model for biology, aimed at fueling breakthrough discoveries and accelerating innovations in biomedicine and beyond. The company seeks to transform the biological sciences through advanced artificial intelligence technologies.

artificial intelligence • biology • foundation models

2 - 10 employees

Founded 2024

🤖 Artificial Intelligence

🧬 Biotechnology

⚕️ Healthcare Insurance

💰 $35M Seed Round on 2024-02

📋 Description

• We are an AI-driven startup pioneering the development of a universal foundation model for biology. • In this critical role, you'll leverage your expertise in biology, machine learning and your biopharma experience to shape the future of our foundation model, ensuring it meets the complex needs of our customers in the biomedical industry. • You'll work closely with the Research, Product and Business Development teams, using your expertise to align our Foundation Models progresses toward solving the most pressing biopharma challenges. • Your role will be pivotal in guiding clients on how to integrate and maximize value from our models, ultimately driving innovation in drug discovery and development. • As an expert Applied Scientist in computational biology and pharma R&D, you will: Bridge Research & Product: Understand the most valuable biopharma use-cases. Translate biopharma research questions into actionable machine learning objectives & tasks. Engage closely with product, business and research teams to define feature priorities. • Enable Pre-Sales & Technical Sales: Serve as a trusted scientific partner during technical sales discussions—design proof-of-concept studies, address domain-specific queries, and deliver persuasive presentations that highlight the value of Bioptimus’ solutions. • Client Education & Engagement: Provide ongoing training and support to clients on how to interpret and effectively apply our foundation models in their R&D pipelines. Help them unlock actionable insights in proteomics, transcriptomics histology data and beyond. • Thought Leadership: Represent Bioptimus at conferences, workshops, and in client meetings, demonstrating domain expertise and the potential of AI-driven drug development. • Research & Innovation: Collaborate with our research team to identify new AI and foundation model approaches that can be integrated into the product. Contribute to publications, patents, and case studies showcasing novel applications in pharma R&D.

🎯 Requirements

• Pharma R&D Expertise: • Deep understanding of biopharma R&D use-cases, challenges, tools and processes (target discovery, preclinical studies, clinical trial design, biomarker discovery, diagnostics, regulatory considerations etc.) • Ability to break down high-level biopharma use-cases into actionable recommendations for the research & product team (ex: specific loss function, evaluation metrics, data annotations etc) • Computational Biology: • Extensive experience working with genomics, proteomics, single-cell or histology data, encompassing the entire analysis pipeline, from dataset generation and curation based on raw measurements with the appropriate bioinformatics tools, to the application of machine learning models to assess scientific hypotheses and drive novel discoveries. • Demonstrated expertise applying machine learning to computational biology, including scientific publications at high-impact journals (Nature, Science, Cell, Nucleic Acids Research, Genome Biology, …) and/or top conferences in the field (ISMB, RECOMB, NeurIPS, ICLR, ICML, …). • Mastery of the different evaluation protocols and metrics used in the literature. • Exceptional Communication Skills: Capable of engaging both technical and non-technical stakeholders. Adept at crafting compelling presentations and scientific narratives for high-level stakeholders and internal teams. • Educational Background: PhD or equivalent experience in Computational Biology, Bioinformatics, Pharmacology, or related field.

🏖️ Benefits

• A collaborative and mission-driven work environment. • Competitive salary and equity package. • Flexible work arrangements, including remote options. • Opportunities for professional growth and leadership development. • Shape the future of biology and AI by contributing to groundbreaking work.