About Us

Trailhead Biosystems merges developmental biology with computerized experimental design to develop novel iPSC research products. Trailhead Biosystems is the pioneer of High-Dimensional Design-of-Experiment (HD-DoE®), a powerful platform that differentiates human induced pluripotent stem cells (iPSCs) into virtually any desired cell type with unparalleled precision and efficiency. We are moving beyond traditional trial-and-error methods by implementing Quality by Design principles and utilizing DoE combined with Multivariate Data Analysis.

The Role

We are seeking a Director of Bioinformatics & AI Engineering (iPSC Platform) to join our team and help define the future of product development and cellular engineering. As a Director of Bioinformatics & AI Engineering (iPSC Platform), you will lead a team consisting of Computational Biology, AI Engineering, and Database Engineering. You should have a deep understanding of Design of Experiment, as well as a strong grasp of machine learning & artificial intelligence tools and technology trends.

Responsibilities

• HD-DoE platform: overall ownership of the HD-DoE platform, including experimental design and modelling, as well as maintenance of SOPs, training, and equipment to maintain a steady workflow of HD-DoE experiments
• Molecular Biology: oversee analysis of all bulk and single cell RNA-sequencing, whole genome sequencing, and ATAC-seq
• Leadership: manage a team of Analysts, Data Scientists & Engineers to meet short- and long-term goals related to integrating AI into the HD-DoE platform
• Experimental validation of models: partner closely with dedicated Scientist to generate training data and validate AI-generated predictions at the bench
• Cross-Functional Collaboration: Partner closely with R&D Scientists and Product Managers to ensure the HD-DoE platform meets the company's needs for product development and marketing
• Documentation: Create and maintain clear technical documentation, architecture diagrams, and runbooks to ensure system reproducibility and facilitate team knowledge sharing

Qualifications & Requirements

• MSc or PhD (preferred) degree in Bioinformatics, Computational Biology or a related quantitative field
• 5+ years of professional experience in analyzing large biological datasets
• 2+ years of experience in biotechnology, pharmaceutical, or healthcare sectors
• Leadership experience including direct supervision of technical staff
• Ability to translate complex technical concepts for cross-functional teams, including biologists and lab scientists
• Collaborative spirit with a desire to work in a fast-paced, research-driven environment

Pay: $155,000.00 - $175,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Parental leave
• Referral program
• Vision insurance

Work Location: In person