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Vertex Pharmaceuticals
San Diego, California, United States
(on-site)
Posted
8 hours ago
Vertex Pharmaceuticals
San Diego, California, United States
(on-site)
Job Type
Full-Time
Job Function
Other / Not Listed
Computational Genomics Research Scientist
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Computational Genomics Research Scientist
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Job DescriptionWe 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 to the development of novel therapies in areas including lung diseases and pain. You 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.
This is a San Diego based, hybrid position requiring 3 days/week onsite.
Key responsibilities:
- 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.
- 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, gnomAD, FinnGen, 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.
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
Education and Experience:
- PhD degree (or Master's degree) in computational biology, bioinformatics, human genetics, genomics, systems biology, bioengineering, or a related field with 0-3 years (or 3+ years for Master's degree) of productive, relevant industry or post-doc experience.
- A proven track record of stand-out excellence in the analysis, visualization, and interpretation of genomic data (such as next-generation sequencing (NGS)) or human genetic data.
- 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.
- Deep scientific understanding of genetic variation in human disease, molecular biology, and cellular biology.
- Expertise with rapidly applying computational methods and bioinformatics tools to large-scale data.
- Proficiency with R and/or python, and high-performance computing systems; solid understanding of statistics.
- A team-oriented growth mindset that welcomes feedback from others and supports other team members; a positive attitude that enthusiastically tackles and overcomes challenges.
#LI-KM1
#LI-Hybrid
Pay Range:
$112,000 - $168,000
Disclosure Statement:
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 more.
Flex Designation:
Hybrid-Eligible Or On-Site Eligible
Flex Eligibility Status:
In 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.
Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Hybrid
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com
Job ID: 82029726
At Vertex, we bring together the brightest minds in the relentless pursuit of creating transformative medicines for people with serious and life-threatening diseases. Founded in 1989 in Cambridge, Massachusetts, we are one of only a handful of biotechnology companies founded since 1976 that has discovered and developed four or more approved medicines in our own labs. In addition to the four medicines we’ve developed to treat the underlying cause of cystic fibrosis, we have ongoing research programs focused on the underlying ...
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