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Software Development
Applied Research Scientist
@Bioptimus
[Hiring] Applied Research Scientist @Bioptimus
Apr 02, 2025 - Bioptimus is hiring a remote Applied Research Scientist. 💸 Salary: competitive salary and equity package. 📍Location: France.
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Role Description
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.
What you will be doing
- 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.
Qualifications
- 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.)
- 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.
- Capable of engaging both technical and non-technical stakeholders. Adept at crafting compelling presentations and scientific narratives for high-level stakeholders and internal teams.
- PhD or equivalent experience in Computational Biology, Bioinformatics, Pharmacology, or related field.
Ways to stand out
- Having extensive experience in applying AI models in pharma or biotech settings, including clinical or translational research.
- A track record of publishing impactful scientific papers or speaking at conferences on computational biology, foundation models, or drug discovery.
- Demonstrated ability to facilitate & manage complex projects, and deliver results in a fast-paced environment.
- Experience in a startup or innovative environment, showing adaptability, proactiveness, and eagerness to take on varied responsibilities.
- Proven success in supporting sales or consulting activities, shaping product offerings, and ensuring client satisfaction through ongoing relationship management.
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.
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| 📍 | Be aware of the location restriction for this remote position: France |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Software Development
Software Development
|
Salary
💸
competitive salary and equity package
|
Remote
Location
France
|
|
Job Type
full-time
|
Posted
Apr 02, 2025
|
️
| 📍 | Be aware of the location restriction for this remote position: France |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
