Research Partner Success Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Act as the main point of contact for partner and customer data support.

• Conduct kickoff meetings and manage office hours.

• Assist partners and customers in utilizing clinico-genomic datasets, tools, and platforms.

• Create and update onboarding materials for data users, including user guides and orientation presentations.

• Collect and integrate client feedback to enhance data solution designs.

• Design and develop data processing pipelines for clinical and genomic datasets.

• Collaborate with internal teams to deliver necessary information to clients.

• Foster strong internal relationships and work collaboratively across Engineering, Research, Bioinformatics, Life Sciences, Product, and Commercial teams.

• Participate in projects and familiarize yourself with team and company processes during onboarding.

• Establish OKRs with the manager and take responsibility for team projects and initiatives.

⛳️ Requirements

• Master's degree in Public Health, Epidemiology, Computer Science, Engineering, Information Technology, or a related field.

• Over 2 years of experience in a partner-facing role such as sales engineering or a similar technical applications position.

• Understanding of AI tools and large language models (LLMs), including agentic workflows and coding assistants like Claude Code.

• Fluent in English with exceptional verbal and written communication skills, capable of articulating complex technical concepts to both technical and non-technical audiences.

• Collaborate with Product, Engineering, and Operations teams to ensure research users achieve success in their work.

• Strong affinity for an engineering culture that values both quality and agility.

• Knowledgeable about the advantages and challenges of cloud-based data management and analysis, with practical experience in cloud computing.

• High standards of integrity, professionalism, and meticulous attention to detail.

• Flexible in a fast-paced startup environment where priorities may shift rapidly and frequently.

• Experience working with large-scale genomic datasets and knowledge of statistical genetic techniques and analysis tools.

• Prior experience in a client-facing scientific role and/or in a scientific applications position, working directly with partners in healthcare or the life sciences sector.

• Proficient in data analysis, preferably involving data mining, pattern recognition, statistical analysis, and/or mathematical programming and modeling related to health data.

• Familiarity 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 (e.g., OMOP CDM).

🏝️ Benefits

• Comprehensive Health Insurance available from the Date of Hire.

• Above-average employer-paid premium coverage.

• 12 weeks of Helix Paid Parental Leave option.

• 401(k) plan with employer matching up to 3% and 100% vesting at the Date of Hire.

• Comprehensive Well-Being Benefits.

• Flexible Paid Time Off (PTO).

• Remote work options for many positions and a home office stipend.

• Annual Bonus: 10% of annual salary.

• Equity.