Computational Design of Biological Experiments for Model Development (AI)

Location: Palo Alto, CA; candidates are expected to primarily work from office locations. Availability is required for meetings starting at 8am PT and ending at 7pm CET, with travel several times a year for retreats and business events.

Compensation: $135K–$240K + bonus + equity.

Company

hirify.global develops AI and biological software for the rational design of medicines and biotechnologies by combining molecular biology, machine learning, and software engineering.

What you will do

• Investigate how data quantity, quality, composition, and training methods affect biological foundation model performance.
• Develop biologically meaningful evaluations and benchmarks for therapeutic design objectives.
• Design and execute in silico and laboratory studies to analyze model behavior, capabilities, limitations, and learned biological signals.
• Identify biological datasets and build computational pipelines for preprocessing, quality control, and exploratory analysis.
• Analyze high-throughput sequencing and functional genomics data, identifying artifacts, bias, and noise.
• Collaborate with biologists, AI researchers, and engineers to prioritize experiments, data collection, and model improvements.

Requirements

• PhD in computational biology, statistics, physics, machine learning, or a related quantitative discipline, or equivalent practical experience.
• Strong quantitative reasoning, statistical intuition, and ability to design rigorous investigations using complex biological data.
• Experience analyzing high-throughput sequencing data such as RNA-seq, functional genomics, transcriptomics, or MPRA.
• Experience collaborating with AI or machine learning researchers or applying machine learning and generative AI to scientific problems.
• Familiarity with generative foundation models, representation learning, model evaluation, and public biological datasets.
• Proficiency in Python and common scientific computing libraries, with excellent written and verbal communication skills.

Nice to have

• 3+ years of post-PhD experience in computational biology, biostatistics, machine learning research, or a related field.
• Publications or open-source tooling in relevant quantitative fields.

Culture & Benefits

• Collaborative antedisciplinary environment focused on growth, learning, and discovery.
• 30 days of paid vacation per year.
• Comprehensive health insurance for US-based employees.
• 401K with company match for US-based employees and Direktversicherung for German employees.
• Quarterly company-wide retreats, wellness benefits, office visits, learning and development budget, and a settling-in buddy.