Director, Bioinformatics & AI Engineering (iPSC Platform)

Benefits

Pulled from the full job description

Full job description

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