Associate Director, Computational Genomics

Job Description

To advance the development of transformative therapies for people with serious and life-threatening diseases we are seeking an experienced computational biologist to lead the Boston-based computational genomics team as part of the global Data and Computational Sciences organization. You and your team will focus on making biological discoveries by leveraging large-scale genomic and human genetic data to advance our drug discovery and development programs. As the leader of a team of 5 you will partner with leadership at the Boston Research site and disease project teams to drive project success in a fast-paced environment in areas such as target validation pre-clinical model development and characterization of novel therapeutics. You will also work closely with leaders across the global computational genomics teams and the Data and Computational Sciences department to develop technical best practices define future directions for the team and contribute to strategic initiatives. This is an on-site or hybrid eligible position requiring at least 3 days/week onsite.

Key responsibilities:

• As the Computational Genomics team lead for Boston Research you will work with your team members and disease project teams to identify and prioritize key project questions design genomic studies and interpret results to drive project progress.
• As a part of the global leadership for the Computational Genomics team work across sites to prioritize global needs to maximize impact across the global research portfolio.
• Oversee computational genomic activities of your team including providing scientific guidance resource management and leadership to ensure impactful and timely completion of studies with adherence to data integrity and documentation policies.
• Ensure continuous talent development to attract retain and develop your team members.
• Partner across the rest of the Data & Computational Sciences department to prioritize develop and evolve computational methods and best practice guidelines for key analyses.
• Establish and maintain productive relationships with key stakeholders such as the Boston Research leadership across the organization.

Knowledge and Skills:

• Advanced understanding in the fields of genomics human genetics statistics and/or computational biology such as bulk and single cell transcriptomics pooled variant screening genome-wide association studies.
• A proven track record in the analysis visualization and interpretation of large-scale genomic data in a drug development context.
• Excellent scientific critical thinking with the ability to understand the value risks and challenges of various approaches synthesize and interpret complex data and propose recommendations to drive forward progress.
• Demonstrated ability to work across cross-functional teams ensuring proactive collaboration and timely progress.
• Superior communication skills demonstrating confidence and versatility in presenting verbally to diverse audiences and writing technical documents including experience presenting to senior and executive leadership.
• A team-oriented growth mindset that welcomes feedback from others and supports other team members; a positive attitude that enthusiastically tackles and overcomes challenges.
• Highly skilled in mentoring others resolving technical problems maintaining procedural and ethical standards and cultivating healthy team morale.

Education and Experience:

• PhD degree (or Masters degree) in computational biology bioinformatics human genetics genomics systems biology bioengineering or a related field with 5 years (or 8 years for Masters degree) of productive relevant industry experience and 2 years of management experience or the equivalent combination of education and experience.
• Demonstrated leadership abilities such as management of a high-performing team leadership of a scientific project mentorship of junior scientists.

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Pay Range:

Disclosure Statement:

Flex Designation:

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 Vertexs Policy on Flex @ Vertex Program and may be changed at any time.

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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 persons 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