Computational Biologist; Hybrid

Computational Biologist (Hybrid)

Location

San Francisco Bay Area

Pay Range

$120,000–$140,000, based on location and experience

Team

R&D

Split

~10–15% customer-facing (required) · ~20–25% wet lab (preferred emphasis)
· remainder computational

We are so excited you are interested in joining our team! Candidates are encouraged to apply even if they do not tick every box. If you are excited to empower science through innovation, we want to hear from you!

About Form Bio

Form Bio provides award-winning AI and computational solutions for genetic medicine and synthetic biology leaders. By combining data, technology,expertise and lab-in-a-loop, Form’s solutions accelerate timelines from discovery to clinic by providing drug developers with rapid in silico characterization and optimization of their therapeutics followed by the lab validation — enabling higher yields, better expression, enhanced safety and shorter, less-expensive development cycles.

Form Bio’s proprietary patent protected AI models are the first of their kind, purpose-built to solve the most complex challenges in genetic engineering and design for gene and nucleic acid-based therapies. With cross-disciplinary expertise spanning software engineering, biology, bioinformatics, AI, and data science, the Form Bio team collaborates closely with customers on their most pressing and strategic challenges and opportunities.

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About the Role

We’re looking for a highly skilled Computational Biologist to join our team. The ideal candidate will be an expert in biological data analysis and computational biology, with a passion for leveraging data to solve complex problems. You’ll work closely with our R&D and engineering teams, translating biological questions into computational solutions and helping to build tools that will advance scientific discovery and product development.

This role sits at the center of three areas we are actively building: gene editing workflows, computational RNA design, and computational protein design. You will help turn these from project work into productized, repeatable capabilities.

Because Form Bio works shoulder-to-shoulder with drug developers and synbio partners, this is not a heads-down role. We expect roughly 10–15% of your time to be customer-facing, and we are looking for someone who sees that as a feature rather than a tax.

What You’ll Be Doing

Gene Editing Workflows

• Design and evaluate guide RNAs across editing modalities
• Build and run on- and off-target validation analyses
• Quantify editing outcomes from sequencing data

Computational RNA Design

• Design and optimize RNA sequences
• Model secondary structure, thermodynamic stability, and folding to inform design decisions.
• Screen candidate sequences for proper characteristics before they reach the bench.

Computational Protein Design

• Apply structure prediction and modeling to engineer therapeutic and tool proteins (e.g. editors, nucleases, capsids, regulatory elements).
• Optimize variants for expression, stability, specificity, and reduced immunogenicity, and prioritize designs for experimental testing.
• Work with ML/AI teammates to fold protein design models into Form Bio’s platform.

Data Analysis & Pipelines

• Analyze large-scale biological datasets (e.g. genomics, transcriptomics, proteomics) to identify novel patterns and insights.
• Design, implement, and maintain bioinformatics pipelines and workflows in Nextflow, Snakemake, or WDL for efficient, reproducible data processing.
• Stay current with the latest bioinformatics algorithms, software, and databases to ensure our methods are cutting-edge.

Collaboration & Customer Engagement (10–15%)

• Work with biologists, computational scientists, and software engineers to understand research needs and develop custom analytical tools.
• Spend roughly 10–15% of your time in a customer-facing capacity — this is a requirement of the role, not an optional add-on.
• Join scientific discussions with customer teams to scope problems, present results, and translate their questions into analyses we can run.
• Clearly communicate complex results and findings to both technical and non-technical audiences, and represent Form Bio’s science credibly to…