Computational Genomics Research Scientist

We are seeking a computational biologist with a strong track record of advancing biological discoveries through data analyses to join the Vertex Data and Computational Sciences (DCS) organization. In this role, you will leverage cutting edge computational biology to accelerate the development of transformative therapies for serious human diseases. As a member of cross-functional disease project teams, you will contribute toYou will design genomics and human genetic studies, develop and apply analytical methods, and interpret results that directly inform program strategy, target evaluation, and mechanistic understanding.

You will also play a key role in innovating, evaluating, and applying state-of-the-art computational analyses to enable rapid, data-driven decisions. An independent and proactive approach, along with seamless cross-functional collaboration will be essential for success in this role.
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* Key responsibilities:

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* * Design and execute studies across diverse omics, including bulk RNA‑seq, whole‑genome sequencing, single‑cell RNA‑seq, spatial transcriptomics, and human genetics.
* Perform sophisticated computational analyses of internal and external datasets, integrating deep critical thinking, statistical rigor, domain expertise, and best practices from the literature to generate actionable insights.
* Incorporate publicly available genomic resources (e.g., GTEx, gnom

AD, Finn Gen, UK Biobank) to contextualize and interpret internal data.
* Distill complex analyses and scientific results into clear presentations, including key take-home messages and recommendations for next steps to a broad audience.
* Author study reports, white papers, and manuscripts to support internal decision-making and external communications including regulatory filings.
* Partner with the DCS method development team to develop innovative methods and improve usability, accuracy, and robustness of existing ones.

- Proactively collaborate with cross‑functional project teams as the computational biology expert to identify key scientific questions that can be addressed through human genetics, genomics, sequencing, and computational analyses.
** Knowledge and

Skills:

*** A proven track record in the analysis, visualization, and interpretation of genomic and next-generation sequencing (NGS) data
* Solid scientific understanding of gene editing, the role of genetic variation in human disease, molecular biology, and cellular biology
* Expertise with applying computational methods and bioinformatics tools to large-scale data
* Solid understanding of statistics
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* Education and Experience:

** PhD degree (or Master’sMaster’s degree) of productive, relevant industry or post-doc experience. degree) in computational biology, bioinformatics, human genetics, genomics, systems biology, bioengineering, or a related field with 0–3 years (or 3+ years for Demonstrated ability to work across cross-functional teams, ensuring timely progress.

Superior communication skills, demonstrating confidence and versatility in presenting verbally to diverse audiences and writing technical documents.

Expertise with rapidly applying computational methods and bioinformatics tools to large-scale data.

The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations.  From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much  this Hybrid-Eligible role, you can choose to be designated as:
1.

** Hybrid**: work remotely up to two days per week;
** or select
** 2.

** On-Site**: work five days per week on-site with ad hoc flexibility.
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