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Sr Bioinformatics Scientist

Twist Bioscience · USA - South San Francisco, CA

Extracted from the posting

Base
Not stated
Remote
On-site
Eng team
Scientific Computing team
Stack
Python, R, Bioinformatics tools

Senior Bioinformatics Scientist developing computational methods and predictive models for DNA synthesis and protein characterization. Works with experimental scientists on NGS analysis, algorithms, and machine learning. Uses Python, Nextflow, and statistical methods.

Senior Bioinformatics Scientist

Position Overview

Twist Bioscience is seeking a Senior Bioinformatics Scientist to join our Scientific Computing team supporting R&D across DNA Synthesis and Protein Solutions. You will develop computational methods and predictive models to understand biological and experimental data, guide product development, and improve scientific workflows.

Working at the intersection of computational and experimental biology, you will partner with scientists to investigate challenging questions across sequencing, DNA synthesis, and protein characterization. Your work will include developing algorithms, testing hypotheses, evaluating new methods, and building reproducible analysis workflows.

We are looking for a curious scientist with strong computational skills and sound scientific judgment who enjoys learning new biology and turning open-ended questions into actionable insights.

Key Responsibilities

  • Develop novel computational methods and algorithms supporting DNA synthesis, sequence analysis, and protein characterization.
  • Partner with experimental scientists to formulate hypotheses, design experiments, and interpret results that guide product and process development.
  • Analyze NGS and other experimental datasets to identify biological patterns, understand sources of variability, and investigate unexpected outcomes.
  • Apply statistical methods, machine learning, and predictive modeling to connect sequence and experimental features with product quality and performance.
  • Evaluate and validate analytical approaches, including their accuracy, limitations, and applicability across experimental conditions.
  • Develop reproducible analysis pipelines using Nextflow and other scientific computing tools to support research and method evaluation.
  • Communicate findings and recommendations to scientific and cross-functional stakeholders, and collaborate with engineers to translate successful methods into broader use.
  • Explore new technologies and analytical approaches as research priorities evolve.

Required Qualifications

  • Ph.D. with 3+ years, Master’s degree with 6+ years, or Bachelor’s degree with 8+ years of relevant experience in bioinformatics, computational biology, biostatistics, or a related field; equivalent combinations of education and experience will be considered.
  • Strong Python programming skills and experience analyzing biological or experimental data.
  • Hands-on experience with NGS analysis and a solid understanding of molecular biology.
  • Experience developing and evaluating computational algorithms, statistical methods, or predictive models.
  • Strong foundation in statistics, experimental design, and critical interpretation of scientific results.
  • Experience building reproducible analysis workflows using Nextflow or a comparable tool.
  • Demonstrated ability to independently investigate scientific problems and learn unfamiliar methods or biological domains.
  • Ability to collaborate closely with experimental scientists and communicate complex findings clearly.

Preferred Qualifications

  • Experience with protein data analysis, DNA synthesis, or sequence design.
  • Experience applying machine learning to biological data, including rigorous validation.
  • Experience working with high-throughput experimental datasets and integrating multiple data types.
  • Familiarity with cloud computing and scalable scientific workflows.
  • A track record of developing computational methods that inform experimental decisions or improve products.

We welcome candidates with depth in a relevant scientific area and the curiosity and quantitative foundation to contribute across disciplines.

About Twist Bioscience

Twist Bioscience synthesizes genes from scratch, known as “writing” DNA. Just as children learn to both read and write, the next phase of development for the genomics revolution is the ability to write DNA.

At Twist Bioscience, we work in service of people who are changing the world for the better. In fields such as health care, agriculture, industrial chemicals and data storage, our unique silicon-based DNA Synthesis Platform provides precision at a scale that is otherwise unavailable to our customers.

Twist Bioscience Corporation is an Equal Opportunity Employer. Twist Bioscience Corporation provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic characteristics, or any other category protected by law.

The base cash compensation for this California-based role is below. In addition to base salary, this role is eligible for bonus, equity, and a generous benefits package. Final

compensation

amounts are determined by multiple factors, including candidate skill, experience, expertise, and location and may vary from the amount listed above.

Compensation

may be different in other locations.

San Francisco Bay Area Pay Range

$135,000

—

$173,000 USD

Technologies

PythonRBioinformatics tools
Twist Bioscience
Twist Bioscience

Job details

TypeFull-time
Work ModeOn-site
LevelSenior
Location🇺🇸South San Francisco, CA
PostedOct 03, 2026
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