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Research Partner Success Manager

Job in San Francisco, San Francisco County, California, 94102, USA
Listing for: Helix
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Scientist, Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 106000 - 148000 USD Yearly USD 106000.00 148000.00 YEAR
Job Description & How to Apply Below

Who We Are & What We Do

At Helix, our mission is simple: to help everyone improve their lives through their DNA.

Who We Are & What We Do

At Helix, our mission is simple: to help everyone improve their lives through their DNA.

Ready to make a real-world impact with your skills? At Helix, we're transforming healthcare by making genomics a standard of care. We partner with health systems and life science companies to accelerate the integration of genomic data into clinical practice. Join us in building a future where healthcare is personalized, proactive, and powered by genomics.

What is special about this role?

The Helix Clinico-genomic Data Team plays a pivotal role in Helix’s efforts to provide a first-in‑class clinico‑genomics research dataset for our partners to conduct and publish cutting‑edge genomic studies. We are responsible for building and making these data available for use by both our internal Research and Analytical Teams as well as external Health System Researchers and Life Sciences customers.

Our clinico-genomic dataset includes clinical and Exome+ sequencing data and is curated to facilitate the discovery of novel genomic disease risks, enhance patient recruitment for clinical studies, support clinical decision-making, and optimize care pathways. As a Partner Research Success Manager you will play a crucial role in enabling our stakeholders to engage with these data and the associated toolings. Additionally, you will collaborate closely with our internal teams to ensure successful onboarding and effective utilization of the data, tools, and platforms created by the team.

As

a Partner Research Success Manager, You Will

Work closely with our stakeholders, ensuring they have the necessary information needed to work with our datasets. You will be their primary contact for data support, ranging from hosting kick off calls to facilitating office hours. A primary function will be to coordinate with internal teams to get the required information to the client.

  • Support Partners and Customers in engaging with our clinico-genomic datasets, tools, and platform
  • Prepare and maintain materials for the data user onboarding experience, including user guides and orientation presentations
  • Gather and incorporate client feedback to iteratively refine the data solution design
  • Design and build data processing pipelines for producing both clinical and genomic datasets
  • Develop strong internal relationships while working cross-functionally with our Engineering, Research, Bioinformatics, Life Sciences, Product, and Commercial teams
About You
  • Masters in Public Health, Epidemiology, Computer Science, Engineering, Information Technology, or a related field.
  • 2+ years of experience in a partner facing role such as sales engineering, or a related technical applications role.
  • Familiarity with AI tools and large language models (LLMs), including agentic workflows and coding assistants such as Claude Code
  • Proficient in English with excellent verbal and written communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
  • Partner with Product, Engineering, and Operation teams to ensure research users are successful in their work
  • Affinity for an engineering culture that emphasizes both quality and agility
  • Knowledge of the benefits and challenges of cloud-based data management and analysis, including hands‑on experience with cloud computing
  • High level of integrity, professionalism, and attention to detail
  • Adaptable in a fast-paced startup environment where priorities may change quickly and frequently
Pluses
  • Experience working with large-scale genomic datasets and familiarity with statistical genetic techniques and analysis tools.
  • Previous experience in a client-facing…
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