Job Description
We are seeking a highly motivated and experienced computational biologist with a strong background in computational methods development to join Vertex. This position is part of a rapidly growing Data and Computational Sciences team focused on developing therapies for diseases with serious unmet need. You will play a critical key role in developing cutting-edge computational methods that assess the safety and efficacy of transformative therapeutics. You will also cross-functionally collaborate to develop robust and scalable workflows that address strategic questions across Vertex’s programs. A strong background in computational methods development, a proven track record in Python programming and an ability to seamlessly collaborate with team members and think strategically will be required for success in this role.
This is a Boston based, hybrid position requiring 3 days/week onsite.
Key responsibilities:
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Establish and execute a long-term strategy for maximizing the impact of computational genomics methods in the company
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Develop novel computational methods that address key questions regarding the efficacy, safety and integrity of cell therapies.
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Leverage and extend best practices from genomics, data science and software-engineering to create industry-leading analysis software.
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Create tools using software engineering best practices to enable reproducible, well documented analyses that meet Vertex data integrity standards.
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Collaborate with project teams and DCS members to identify key needs and questions that can be addressed using genomics.
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Act as an emerging expert in the field by providing reliable advice to other team members on a regular basis.
Education and Experience:
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Ph.D.in computational biology, bioinformatics, computer science, human genetics, or genomics fields with 6+ years of relevant employment experience
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Strong organizational and time-management skills
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A proven track record of next-generation sequencing (NGS) methods development pertaining to variant calling, RNA-Seq, or related data type
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An independent, detail-oriented, and self-motivated approach to problem solving
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A team-oriented mindset that welcomes feedback and supports others
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Strong programming skills in Python and one or more of the following languages: Rust, Java or C/C++, and proficiency with workflow languages such as Nextflow
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Deep knowledge of best practices in somatic variant calling and variant annotation
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Hands-on experience benchmarking and customizing single cell sequencing analyses
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Expert in software engineering practices such as source control and unit testing
#LI-SV1
#LI-Hybrid
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.
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
[email protected]