In today’s data-driven biotech landscape, the intersection of Artificial Intelligence (AI), Machine Learning (ML), and life sciences is fueling discoveries like never before. At the forefront of this movement is Scispot, a pioneering company building the world’s first and best data infrastructure designed specifically for life science companies.
If you are a Computational Biologist who thrives on data-intensive research and biotech innovation, this could be your next big career move.
🧬 About Scispot: Innovating at the Edge of Biotech and AI
Scispot is not your average biotech company. With a mission to empower life sciences innovation through cutting-edge data infrastructure, Scispot is bridging the gap between wet-lab science and digital transformation. The company integrates biotech R&D with AI/ML workflows, streamlining how modern life science companies operate.
Scispot’s work is fundamentally transforming how genomic, transcriptomic, and high-throughput sequencing data is processed, analyzed, and leveraged to unlock new biological insights.
💼 Job Opening: Computational Biologist with AI/ML Expertise
Scispot is hiring a Computational Biologist with strong experience in AI, ML, and bioinformatics. This is an exciting opportunity to collaborate with data scientists, bioinformaticians, and wet-lab researchers to accelerate breakthroughs in life sciences.
🔑 Key Responsibilities
- Build and manage ETL/ELT pipelines for genomic and transcriptomic data.
- Integrate data using open-source tools like Apache Airflow and Apache NiFi.
- Analyze RNA-seq, scRNA-seq, and whole exome sequencing (WES) data.
- Develop scalable computational frameworks for biological datasets.
- Assist in gene expression data interpretation for target discovery.
- Partner with cross-functional teams to design and interpret scientific experiments.
- Implement data governance, cleansing, and transformation protocols.
- Leverage public biological datasets and ontologies to enrich analysis.
🎓 Required Qualifications
- Pursuing or completed MSc/PhD in Bioinformatics, Computational Biology, or a related discipline.
- Proficiency in Python, R, and experience in collaborative code environments.
- Deep understanding of biological databases, bioinformatics tools, and data standards.
- Experience with cloud-based storage and computing environments.
- Strong skills in statistical modeling, AI/ML algorithm application, and handling high-dimensional datasets.
- Publications in peer-reviewed, high-impact journals are a plus.
🌐 Why Work at Scispot?
- Be part of a biotech revolution—work at the convergence of wet-lab research and digital bioinformatics.
- Shape the future of bio-AI integration, contributing to groundbreaking innovations in data infrastructure.
- Enjoy a remote-friendly, fast-paced startup culture focused on impact and collaboration.
- Leverage the best tools and technologies to solve real-world biological challenges with data.
If you’re ready to join a mission-driven team and play a key role in the digital transformation of life sciences, this opportunity at Scispot is tailor-made for you.
📍 Apply today and become a vital force in reshaping biotech innovation.
