Senior Manager – Bioinformatics Algorithms

GeneDx, the world’s leading genomics diagnostics company, is seeking a Senior Manager for our Bioinformatics Algorithms team.

As a Senior Manager, you own strategic initiatives of the team and are directly responsible for teammates’ performance. You will formally support teammates in delivering faster, cheaper, more reliable, more scalable, and more accurate bioinformatics software into our production diagnostics platform.

Your breadth of scientific and engineering expertise will enable the team to plan and successfully execute incremental deliveries. You will be empowered and trusted to make critical decisions where mistakes could lead to serious delay or cancelation of an initiative. You will lead and support others in leading analytical validation efforts, drive adherence of scientific and engineering best practices, and identify and execute plans to improve team efficiency. You will be expected to find resourceful and creative solutions to hard problems and support your teammates in doing the same.

Experience, Traits, and Skills 

• Ability to translate executive strategy into objectives and deliverables relevant to your team and related teams.
• Experience defining objectives, metrics, and data-driven product development.  
• Able to anticipate and correct issues with technical proposals before they arise.
• Strong coaching and communication skills for developing teammates and working collaboratively throughout the organization.
• Experience with Python or other similar languages; experience with cloud infrastructure concepts, tools, and best practices.
• Good understanding of general software engineering patterns, best practices, and methods.
• 8+ years professional experience (industry setting) designing and supporting robust applications using modern object-oriented frameworks; 5+ years experience leading a scientifically focused software development team.
• Have developed novel bioinformatics algorithms and products, with a successful history of delivering scalable production software.  
• Able to lead, coordinate, and execute validation efforts for new products.
• Technical knowledge of NGS and non-NGS laboratory assays, with experience troubleshooting wet-lab and dry-lab issues.
• Prior experience working in a CAP/CLIA regulated setting and prior experience preparing for a CAP/CLIA inspection.
• Familiarity with bioinformatics workflow management tools and concepts like slurm and nextflow, and commonly used building blocks like samtools, gatk, picard, vcftools, bedtools.
• PhD strongly preferred.

The Responsibilities 

• Ensure the team has clear strategic objectives to pursue.
• Ensure the team has quality technical implementation plans.
• Ensure accountability and communication of progress within and between teams.
• Ensure high performance in our team by guiding effective tactics and operational models. 
• Guide teammates in design of novel algorithms in support of new product offerings, lead analytical validation efforts in support of existing pipeline improvements.
• Collaborate with teammates and product managers in developing development roadmaps and sprint planning.
• Lead establishment and adherence to robust and compliant software development best practices.
• Participate in software quality testing and validation.
• Participate in cross-functional development with other teams.
• Contribute to continuous improvement in the operating model of the team.
• Level up your teammates to bring deeper understanding of technical know-how across teams.

The Objectives 

• Delivery of a cost-efficient, reliable, and scalable bioinformatics platform.
• A high-performing scientifically focused team that is able to accurately estimate work and execute delivery with timeliness and high quality.
• You are an active and vital contributor to your team and your co-workers’ success and well-being.
• Bioinformatics platform is scalable, cost controlled, reliable, and engineered with modern software engineering best practices.
• Bioinformatics software is modular and evolvable, allowing easy implementation of algorithmic improvements.