Research Partner Success Manager

Summary

Helix is transforming healthcare by integrating genomic data into clinical practice through partnerships with health systems and life science companies. The Partner Research Success Manager supports partners and customers using clinico-genomic datasets, tools, and platforms, while coordinating onboarding, data support, feedback, and cross-functional collaboration. The role also designs and builds data processing pipelines for clinical and genomic datasets.

Responsibilities

• 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
• Partner with Product, Engineering, and Operation teams to ensure research users are successful in their work

Skills

• 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
• 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
• Experience working with large-scale genomic datasets and familiarity with statistical genetic techniques and analysis tools
• Previous experience in a client-facing science position and/or in a scientific applications role, working directly with partners in healthcare and/or in the life sciences industry
• Experience performing data analysis, preferably data mining, pattern recognition, statistical, and/or mathematical programming and modeling to health-related data
• Experience with cloud-based computational platforms such as DNANexus, Verily Workbench, Terra, Databricks, etc
• Previous experience with EHR or Claims data and/or clinical data models (eg. OMOP CDM)

Qualifications

Must Haves

• 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
• 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

Nice to Haves

• Experience working with large-scale genomic datasets and familiarity with statistical genetic techniques and analysis tools
• Previous experience in a client-facing science position and/or in a scientific applications role, working directly with partners in healthcare and/or in the life sciences industry
• Experience performing data analysis, preferably data mining, pattern recognition, statistical, and/or mathematical programming and modeling to health-related data
• Experience with cloud-based computational platforms such as DNANexus, Verily Workbench, Terra, Databricks, etc
• Previous experience with EHR or Claims data and/or clinical data models (eg. OMOP CDM)

Benefits

• Comprehensive Health Insurance with Date of Hire eligibility
• Above average employer paid premium coverage
• 12 weeks Helix Paid Parental Leave option
• 401(k) with employer matching of up to 3% and 100% Vesting on the Date of Hire
• Comprehensive Well-Being Benefits
• Flexible PTO
• Remote options for many roles and a home office stipend
• Annual Bonus: 10% of your annual salary
• Generous equity at Helix