Own LIMS ownership and raw-to-structured data flow standards.
Direct bioinformatics team and build AI-native data workflows.
Establish program tracking systems and CRO data quality processes.
Violet Research Institute builds the future of personalized medicine for patients with genetic diseases. We are a small, cross-disciplinary team combining startup urgency with nonprofit openness.
Lead development of Dyno’s external-facing AI platforms (e.g., design.dynotx.com)
Develop field-relevant benchmarks for agentic tasks in biological design
Build and improve AI-driven workflows that integrate models, data systems, and experimental feedback
Dyno Therapeutics is a biotech company that develops AI-driven genetic technologies to transform patient lives. They are a high-energy, high-impact team of world-class scientists and engineers working at the intersection of AI and genetic medicine.
Investigate tumor biology using clinical, histopathological, and spatial transcriptomics data to discover biomarkers predictive of treatment response.
Shape Bioptimus' mission to learn human biology dynamics by guiding model development and interpretability for clinical outcomes.
Collaborate with AI researchers and computational biologists to bridge biology, clinical practice, and foundation models.
Bioptimus builds the first universal AI foundation model for biology to accelerate biomedical innovation. With $75M+ funding and a world-class team, this fast-growing Paris-based startup is backed by leading VCs.
Lead and mentor a team of Bioinformatics Scientists in the Women's Health and Organ Health research organization.
Own the research strategy behind new product development, from scoping through execution.
Drive bioinformatics analysis for assay development, including NGS data processing and multi-omic approaches.
Natera is a global leader in cell-free DNA testing, dedicated to oncology, women's health, and organ health. The team consists of highly dedicated professionals from world-class institutions who care deeply for their work.
Play a key role in expanding the spatial biology platform and service offerings by designing and optimizing targeted in situ transcriptomics panels.
Develop computational methods, software tools, and analysis pipelines for spatial transcriptomics and multiomics data.
Collaborate with R&D teams to improve probe performance and enable biological interpretation from spatial data.
Singular Genomics invents at the forefront of genomics, developing the G4 Sequencing Platform and G4X Spatial Sequencer. They foster a culture of creativity and technical excellence, celebrating diversity and collaboration as they rapidly mature.
Design advanced biology problems that challenge frontier AI systems in molecular biology, genetics, or computational biology.
Create deterministic tasks with exactly one correct answer and submit complete, verified solutions.
Use Python and bioinformatics tools to build problems involving experimental reasoning and computational analysis.
We create high-quality STEM training data for frontier AI models used by leading AI labs. We are a team of experts working to improve model reasoning in scientific domains.
Lead analysis and interpretation of cancer's molecular signatures, guiding model development for biological changes.
Execute rigorous computational analyses on data from high-throughput molecular assays including sequencing and protein quantitation.
Partner with molecular biologists and development scientists to refine experiments and turn research models into products.
Freenome is a biotechnology company developing blood tests for early cancer detection. We are a growing organization dedicated to changing the landscape of cancer, with a collaborative and diverse team.
Co-direct the research program in partnership with the founder to shape scientific vision and technical execution.
Develop RL feedback loops translating high-throughput biological measurements into reward signals for biological language models.
Perform hands-on engineering including architecting model training infrastructure and building, running, and debugging models.
Astera is a private foundation steering science and technology toward an abundant future by supporting projects as high-velocity startups. It operates unlike traditional non-profits, focusing on ambitious goals with strong technical talent and significant resources.
Drive product vision and strategy for AI and Lab Products at Absci.
Lead interdisciplinary teams of AI/ML researchers, engineers, and scientists to build delivery platforms.
Serve as bridge between AI Research and Biologics Discovery Technology teams for drug design and target identification.
Absci is a clinical-stage biotechnology company using generative AI to design novel therapeutics. It is a global company headquartered in Vancouver, WA, with offices in New York City, Switzerland, and Serbia.
Lead the scientific strategy for predictive toxicology and quantitative biology in drug discovery.
Develop advanced ML models using graph neural networks, transformers, and federated learning.
Collaborate with customers and partners to integrate AI solutions into real-world workflows.
The company is a partner of Jobgether, specializing in AI-powered solutions for life sciences and drug discovery. They are a remote-first organization with a highly skilled international team and a collaborative culture.
Drive core research: Collaborate with the technical founder and team to develop cutting-edge modeling approaches and iterate rapidly.
Develop RL feedback loop: Design and implement post-training methods that translate high-throughput biological measurements into reward signals.
Bridge wet/dry lab: Partner with experimental team to ensure lab measurements and model learning are designed as a single cohesive system.
Astera is a private foundation on a mission to steer science and technology toward an abundant future. Projects supported by Astera operate like high-velocity startups, focusing on ambitious goals and attracting strong technical talent.
Lead the analysis and interpretation of molecular and clinical data in the context of early cancer detection.
Develop bioinformatics pipelines to enable high throughput NGS data processing and analysis.
In collaboration with wet lab scientists, rapidly characterize and iterate on experimental methods.
Freenome is a biotechnology company developing early, noninvasive cancer detection tests using cfDNA biomarkers. They are an equal opportunity employer with a collaborative, cross-functional team environment.
Use scientific research methods, statistics, machine learning, causal inference, and AI to study business and deploy analytical solutions.
Develop close stakeholder relationships, solve business problems, and educate stakeholders on analytics, AI/ML processes.
Mine data systems, clean and structure data, develop pipelines, and partner with Data Engineering to put models into production.
Gilbane is a Top-10 ENR Contractor, a family-owned construction management firm with 45 offices, shaping communities since 1870. They are committed to delivering projects safely and on-time, and foster a diverse, inclusive workplace.
Apply advanced computational biology and AI approaches to integrate multiomics datasets for therapeutic discovery.
Collaborate with cross-functional teams to translate complex findings into actionable scientific strategies.
Continuously evaluate emerging computational methods and biological datasets to accelerate innovation.
This biotechnology company advances transformative therapies for rare genetic diseases through data-driven science. It fosters a collaborative, patient-centered culture with a focus on innovation and scientific excellence.
Lead applied AI projects from concept to impact, building and deploying ML/GenAI solutions across product, engineering, and security teams.
Act as an internal AI consultant, scoping problems, evaluating approaches, and advising on best practices for generative technologies.
Design experiments, build models for anomaly detection and fraud analysis, and bridge research to production via scalable APIs and tools.
Sonatype is a software supply chain management company that invented componentized software development and pioneered the category. Trusted by over 2,000 organizations, including 70% of the Fortune 100, and 15 million developers, the company fosters innovation, AI/ML adoption, and an inclusive culture.
Contribute to technical approach for evaluating AI agents' reasoning through biological function, recovering and interpreting experimental evidence.
Build ground-truth benchmark datasets from real discovery programs to test agents' quantitative reasoning capabilities.
Use expertise in functional biology assays and computational modeling to define metrics for agent capability in biological sequences and structures.
LatchBio builds intelligent, high-performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs. They work at the frontier of artificial intelligence in biology.