Our mission at Progenity is simple: to help healthcare providers and patients prepare for life. We provide the most advanced molecular technology and the highest levels of service to guide patient care at critical life stages. We continually seek people with the motivation and skills to advance our mission.
Progenity is in a transformational period where we are accelerating our capabilities and technology to enable Progenity to grow and scale to lead our industry. We seek a leader to drive the Scientific Computing Group (SCG) who can partner with our scientific and technical/data teams to enhance and drive the acceleration of this transformation. This role will report directly to the Head of IT Engineering Systems and Product Development with a dotted line to the CIO. The role is responsible for driving a vision, team and technology to evolve our scientific and research computing platforms (Research, Laboratories, and other innovative initiatives).
RESPONSIBILITIES
- Develops and aligns partners on a vision and roadmap for the scientific computing needs of R&D, technologies and capabilities to support and accelerate Progenity research goals.
- Leads and builds a high performing team of scientific technology personnel, execution and maintenance for all scientific computing and including genomics, inventory management, regulatory tools, LIMS and others.
- Identifies opportunities for technical and process improvement and initiate the necessary research or development work in relation to scientific computing; this includes high level evaluation of state-of-the-art hardware, software, and protocols, applicability and risks.
- Manages assigned scientific computing budget and forecast Demonstrated ability to think strategically about business, product, and technical challenges.
- Delivers solutions that are practical, flexible, scalable, reusable, strategic and are achieved through the application of industry proven architectural principles, standards and governance.
This list of duties and responsibilities is not all inclusive and may be expanded to include other duties and responsibilities, as deemed necessary.
REQUIREMENTS
- Advanced degrees (Masters/ PhD/ MBA) or equivalent experience in both scientific (bioinformatics, genomics) and technology domains.
- Relevant experience in creating and applying technologies to solve computationally intensive and data intensive in any of the following: bioinformatics, clinical informatics, distributed and high-performance computing, large scale data transfer, and data visualization.
- Minimum ten (10) years in progressive roles supporting research computing needs in a genetics organization.
- Minimum six (6) years in a leadership role of 8 or more staff is required.
- Extensive knowledge of large-scale scientific data and methods of management.
- Experience with high performance computing and storage such as distributed computing systems, cloud computing, third-party vendor platforms.
- Experience of successfully developing and implementing IT strategy. Preferably within a complex scientific research organization.
- In depth technical knowledge and experience across broad range of IT specialist areas, including programming, systems architecture, high performance computing, high performance storage and networking technologies.
- Expertise in successful development and delivery of multiple complex scientific technology development initiatives.
- Experience with software specification, development and maintenance in a high-performance computing environment.
- Experience with large scale data management and archiving.
- Demonstrable ability to lead diverse teams within a complex and challenging customer service environment.
- Excellent communication skills including the ability to produce strategic documents, present ideas and solutions to non-technical audience and listen effectively to understand user needs.
- Ability to produce effective project management briefings to senior staff.
- Ability to plan and manage budgets.
- Self-motivated, interested in world class computing systems and the development best practice techniques.
- Ability to interact effectively with staff at all levels. Is a team player. Ability and initiative to solve problems.
- Ability to ask questions, constantly learn, adapt, and evolve.