Data Scientist

Description

We are looking for a highly motivated Data Scientist to join our team, contributing to the development of innovative software and assays designed to assess the off-target safety profiles of CRISPR-based gene editing systems, The ideal candidate will bring a strong foundation in data science, coupled with specialized expertise in bioinformatics. We are seeking an individual with advanced programming skills, a deep understanding of data analysis principles, and hands-on experience with NGS data analysis. This position requires active collaboration within interdisciplinary teams on a range of projects, including prototyping software for novel assays / products, and evaluating and monitoring the performance of both software and assay offerings.

• Collaborate closely with R&D and Data Science team to design and prototype bioinformatics workflows for NGS data analysis, contributing to the development of new assay offerings.
• Partner with Data Science and Product Development functions to design and prototype novel in-silico tools to lower off-target risk in gene editing strategies.
• Support bioinformatics engineering team members in translating prototyped pipelines into scalable, production software.
• Execute data analysis / bioinformatics pipelines while ensuring compliance with relevant regulatory standards (e.g, GLP standards) to support client projects.
• Conduct data analysis to gain deeper understanding of current methods, enabling improved characterization of methods.
• Perform data wrangling, statistical analysis and interpretation to enable data-driven decision-making and facilitate data interpretation.
• Develop and optimize computational tools and pipelines to support scientific research and data interpretation.
• Diligently generate thorough documentation for development, research and pipeline execution efforts to ensure clarity and compliance.
• Stay up-to-date with the latest data science trends, bioinformatics technologies, and best practices.
  
  

Requirements

• Advanced degree in Data Science, Bioinformatics, Computational Biology, Genomics, or a related field (or equivalent work experience). Ph.D. + 1 year of experience or Masters degree with 6 years of experience
• Solid understanding of molecular biology, genomics, and next-generation sequencing (NGS) technologies with demonstrated ability to evaluate and select bioinformatics tools and build data analysis pipelines for NGS assays.
• Familiarity with CRISPR based gene editing technologies and assays is a plus.
• Demonstrated experience with bioinformatics tools and software (e.g., Samtools, BAM tools, GATK and other state-of-the-art variant calling tools for small indels, SNPs and large structural variations, etc.).
• Ability to independently analyze complex / multidimensional genomic data, create visualizations and drive decision making, storytelling through presentation of data.
• Strong proficiency in Python programming language. Additional languages including R are a plus. Proficiency with the Linux OS and command-line environment.
• Familiarity with version control and code management sch as Git.
• Familiarity with high-performance cloud platforms and related tools for high throughput computing. (e.g., AWS, NextFlow, Batch)
• Strong problem-solving skills with outside the box thinking and attention to detail.
• Excellent communication skills and the ability to work in a collaborative, interdisciplinary environment on an on-going basis.
• Communicate results effectively through reports and presentations to internal stakeholders.
• Assist in generating material to present findings to external clients and contribute to preparation of scientific publications.
• Ability to manage multiple projects and deadlines in a fast-paced setting.
  
  

We offer a competitive base salary, annual bonus, and equity. MaxCyte also offers a comprehensive benefits package including health, dental, vision, life, and disability insurance and generous time off.

MaxCyte is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.