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Senior Research Scientist, Genomics

VitaNova Biotech
Cambridge, MA
Salary Estimate
USD 85.000 – USD 120.000
Posting Time
2 Mei 2026
Deadline
2 Mei 2027

Job description

VitaNova Biotech invites applications for a Senior Research Scientist specializing in genomics and molecular biology. This full-time role is based in Cambridge and offers the opportunity to contribute to cutting-edge projects in gene editing, sequencing, and data-driven biology.

As a key member of our R&D team, you will design and execute experiments, analyze complex datasets, and collaborate with interdisciplinary groups to translate findings into practical solutions.

We value curiosity, collaboration, and scientific rigor. If you are passionate about advancing biology through innovation, we want to hear from you.

Responsibility

  • Design, implement, and optimize experiments in molecular biology and genomics.
  • Oversee high-throughput sequencing workflows and data processing.
  • Analyze and interpret complex biological datasets using bioinformatics tools.
  • Collaborate with bioinformatics, clinical, and product teams to define project goals.
  • Mentor junior staff and interns; maintain laboratory safety and compliance.
  • Prepare and contribute to manuscripts, reports, and presentations for stakeholders.
  • Maintain accurate records and ensure reproducibility of results.

Qualification

  • PhD in Biology, Genomics, Molecular Biology, or a related field; or a Master's with 5+ years relevant experience.
  • Hands-on experience with CRISPR, PCR, cell culture, and multiplex assays.
  • Proficiency in Python or R for data analysis and visualization.
  • Experience with next-generation sequencing and bioinformatics pipelines.
  • Strong critical thinking, data interpretation, and problem-solving skills.
  • Excellent communication and collaboration abilities; track record of cross-functional work.
  • Ability to manage multiple projects and meet deadlines in a fast-paced environment.

Required Skills

biology genomics molecular biology CRISPR PCR cell culture sequencing bioinformatics Python R data analysis experimental design

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