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
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Leads business development for USDC adoption across repo, derivatives, and dealer balance-sheet workflows. Engages swap dealers, primary dealers, FCMs, CCPs, custodians, and market infrastructure providers; drives pilots from design through execution; coordinates with product and engineering teams; aligns integrations with regulatory, legal, compliance, and risk requirements; advises leadership on capital and liquidity benefits; and negotiates strategic C-level partnerships.
Top Skills:
Apple MacosBlockchainChatgptGeminiGenerative AiGoogle SuiteSlackUsdc
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Supports data collection, cleaning, validation, analysis, visualization, reporting, and basic predictive modeling. The role collaborates with business, data engineering, and technical teams to translate requirements into analytical solutions, communicate insights, improve data quality, and document processes. It uses SQL, Python, Power BI, Excel, and Agile tools while developing experience with statistical methods, cloud data platforms, governance, and emerging AI technologies.
Top Skills:
AzureAzure DevopsExcelJIRAPower BIPythonSnowflakeSQL
Machine Learning • Payments • Security • Software • Financial Services
Supports Asset Management Group product strategies, policies, procedures, and processes; provides solutions for exceptional client experiences; handles escalated fiduciary, compliance, and operational matters; monitors risk and escalated issues; participates in enterprise initiatives; and serves as backup to the AMG Product Specialist Advisor. The role requires knowledge of trust and fiduciary services, retirement and tax planning, IRA administration, financial-services regulations, and client relationship management.
Top Skills:
Excel
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory



