Support health system and life sciences research partners using Helix’s clinico-genomic datasets, tools, and platforms. Serve as the primary data-support contact, lead onboarding and office hours, create user materials, coordinate internal technical support, gather feedback, and help refine solutions. Build clinical and genomic data-processing pipelines while collaborating with Engineering, Research, Bioinformatics, Product, Life Sciences, and Commercial teams.
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 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)
Expected Interview Process:
1) Recruiter Screen 2) Manager Screen/Tech Screen 3) Onsite 4) Offer
Expected Pay For This Role:
There are 3 distinct parts to your Helix offer: 1) Base Salary 2) Annual Bonus 3) Equity
- Expected Helix Base: $106,000 - $148,000
- Expected Helix Discretionary Annual Bonus: 10% of your annual salary
- Equity: We offer generous equity at Helix. If you receive a Helix offer your recruiter will book dedicated time with you to educate you on our equity model.
Aside from working alongside brilliant, dedicated, passionate, down-to-earth, curious, warm, and thoughtful people, we also provide great 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
What To Expect During Your First 90 days:
- First 30 days: you’ll spend time learning the Helix way, completing training and onboarding for your roles, and getting introduced to your team and relevant stakeholders. You’ll also gain a deeper understanding of our customers, our products, the impact we make in the lives of our communities, and how to thrive at Helix through participation in Helix U.
- Day 30 - 60: you’ll spend time contributing to projects, deeply familiarizing yourself with team and company processes, and developing a deeper understanding of Helix’s products, services and capabilities.
- Day 60 - 90: you’ll build your OKRs with your manager, start to take ownership of projects and initiatives on your team, and begin to demonstrate your impact on the Helix mission.
To learn how Helix collects, uses, and protects your personal information during the recruitment process, please review our Privacy Notice.
Helix is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.
#LI-Remote
CompensationThe base pay range for this role is $106,000 – $148,000 per year.
Similar Jobs
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Define the technical vision and multi-quarter strategy for Coinbase’s FinHub financial infrastructure. Architect scalable ledger and money-movement primitives across fiat and crypto, ensuring double-entry accounting, idempotency, reconciliation, auditability, reliability, and safe failure recovery. Lead complex cross-team architectural initiatives, collaborate with finance, risk, compliance, and operations stakeholders, and mentor senior engineers while improving system design and operational excellence.
Top Skills:
Asynchronous WorkflowsDistributed SystemsGenerative AiGoJavaPythonState Machines
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Own Coinbase’s end-to-end privacy incident management program, serving as incident commander for personal-data incidents. Coordinate triage, investigation, remediation, escalations, notification workflows, retrospectives, metrics, and process improvements across Privacy, Legal, Security, Product, Engineering, and Communications. Maintain on-call readiness, build automation, analyze cloud-native environments using SQL and Python, and support privacy initiatives involving global regulations, privacy controls, and responsible generative AI use.
Top Skills:
AirflowGenerative AiLookerMongoDBPostgresPythonSnowflakeSQL
Artificial Intelligence • Big Data • Software • Analytics • Business Intelligence • Big Data Analytics
The Analytics Engineer will analyze sales proof-of-concepts and self-service trials, support growth and product-led sales initiatives, and evaluate pricing and monetization strategies. The role partners cross-functionally, models data in dbt, maintains data warehouses and ELT pipelines, experiments with emerging data and AI tools, and trains teammates on effective data workspace practices.
Top Skills:
Ai-Assisted Data ToolsData WarehousesDbtElt PipelinesHexSQL
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

.png)
.png)